CN111859280B - Method and device for evaluating physical properties of stratum crude oil - Google Patents
Method and device for evaluating physical properties of stratum crude oil Download PDFInfo
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Abstract
The invention discloses an evaluation method and an evaluation device for physical properties of stratum crude oil, and belongs to the field of oil well production. The method comprises the following steps: acquiring parameter data affecting physical properties of stratum crude oil, wherein the parameter data meets normal distribution; acquiring a scatter diagram representing the physical property relation between the parameter data and the stratum crude oil according to the parameter data; fitting the parameter data according to the scatter diagram to obtain a fitting relation between the parameter data and the physical properties of the stratum crude oil; acquiring first parameter data and second parameter data of the formation crude oil through a fitting relation, and acquiring physical property influence factors of the formation crude oil according to the first parameter data and the second parameter data; the physical properties of the crude oil of the stratum are evaluated by influencing factors. According to the method, the relation between the physical properties of the stratum crude oil and the crude oil parameters is quantized, so that a standard is provided for evaluating the physical properties of the stratum crude oil, the evaluation process is simplified, and the evaluation efficiency is improved. The defect that the evaluation result is single by evaluating the physical properties of stratum crude oil only by adopting the wax content of the crude oil is avoided.
Description
Technical Field
The invention relates to the field of oil well production, in particular to an evaluation method and an evaluation device for physical properties of stratum crude oil.
Background
In the process of crude oil extraction, wax precipitation occurs to different degrees along with the change of parameters such as temperature, pressure, chemical balance and the like of crude oil, and the parameters determine whether the oil well can normally produce or not, and whether auxiliary extraction measures are additionally added or not. In particular, the physical properties of the stratum crude oil of the high-freezing oil can change along with the extension of development time, so that in the exploitation process of the high-freezing oil, when the physical properties of the stratum crude oil change, the temperature of the crude oil in the oil pipe needs to be increased by an electric heating technology, the wax deposition on the inner wall of the oil pipe is prevented, and the viscosity of the crude oil is reduced, so that the purpose of changing the fluidity of the crude oil is achieved. At this time, the physical properties of the stratum crude oil are required to be evaluated, the influence of the physical properties of the stratum crude oil on the exploitation of the high-freezing oil is obtained, and further reasonable treatment measures are provided.
The related technology is used for roughly judging the production and development conditions of an oil well and auxiliary exploitation measures to be adopted by testing the wax content parameters of the high-pour-point oil and simply comparing the influences of the obtained wax content parameters on the exploitation of the high-pour-point oil.
The inventors found that the related art has at least the following problems:
no quantitative standard exists for evaluating the physical properties of stratum crude oil, and the evaluation result has low accuracy. And the factors for evaluating the physical properties of the stratum crude oil are only the wax content of the crude oil, the reliability is low, and the obtained result has larger contingency.
Disclosure of Invention
The embodiment of the invention provides an evaluation method and an evaluation device for physical properties of stratum crude oil, which can solve the technical problems. The specific technical scheme is as follows:
in one aspect, a method for evaluating physical properties of crude oil in a formation is provided, the method comprising:
and acquiring parameter data affecting the physical properties of the crude oil of the stratum, wherein the parameter data meets normal distribution.
And acquiring a scatter diagram representing the physical property relation between the parameter data and the stratum crude oil according to the parameter data.
And fitting the parameter data according to the scatter diagram to obtain a fitting relation between the parameter data and the physical properties of the stratum crude oil.
And acquiring first parameter data and second parameter data of the formation crude oil according to the fitting relation, and acquiring physical property influence factors of the formation crude oil according to the first parameter data and the second parameter data.
And evaluating the physical properties of the stratum crude oil through the influence factors.
In an alternative embodiment, the fitted relationship of the parameter data to the physical properties of the formation crude oil is:
Y i ＝m 1i ×x 1i +m 2i ×x 2i +b i ；
wherein Y is i Is the physical property of stratum crude oil; x is x 1 Is first parameter data; m is m 1 Fitting coefficients for the first parameters; x is x 2 Is the second parameter data; m is m 2 Fitting coefficients for the second parameters; b i Fitting constant terms; i is the number of samples.
In an optional embodiment, after the fitting the parameter data according to the scatter diagram to obtain the fitting relationship between the parameter data and the physical properties of the crude oil of the stratum, the method further includes: and checking the fitting relation between the parameter data and the physical properties of the stratum crude oil.
In an alternative embodiment, the verifying the fit of the parameter data to the physical properties of the formation crude oil comprises:
obtaining significance and correlation coefficient of the fitting relation;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the stratum crude oil according to the significance and the correlation coefficient.
In an alternative embodiment, the method further comprises:
obtaining a judgment coefficient of the fitting relation;
the determining a correlation between the parameter data in the fit relationship and the formation crude oil physical properties according to the significance and the correlation coefficient comprises:
and determining the correlation between the parameter data in the fitting relation and the physical properties of the stratum crude oil according to the significance, the correlation coefficient and the judging coefficient.
In an alternative embodiment, the obtaining the decision coefficients of the fitting relation includes:
performing linear regression analysis on the fitting relation to obtain a regression square sum and a total dispersion square sum; and taking the ratio of the regression square sum to the total dispersion square sum as the judgment coefficient.
In an alternative embodiment, said determining a correlation between said parameter data in said fit relationship and said formation crude oil property based on said significance and said correlation coefficient comprises:
under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the stratum crude oil according to the first comparison result and the second comparison result.
In an alternative embodiment, said determining a correlation between said parameter data in said fit relationship and said formation crude oil property based on said significance, said correlation coefficient and said decision coefficient comprises:
Under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
comparing the value of the judgment coefficient with a reference value to obtain a third comparison result;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the stratum crude oil according to the first comparison result, the second comparison result and the third comparison result.
In an alternative embodiment, the first parameter data includes wax content and the second parameter includes asphalt content.
In another aspect, there is also provided an apparatus for use in the method for evaluating physical properties of crude oil in a formation as defined in any one of the above, the apparatus comprising:
the first acquisition module is used for acquiring parameter data affecting the physical properties of the stratum crude oil, wherein the parameter data meets normal distribution;
the second acquisition module is used for acquiring a scatter diagram representing the physical property relation between the parameter data and the stratum crude oil according to the parameter data;
The third acquisition module is used for fitting the parameter data according to the scatter diagram to obtain a fitting relation between the parameter data and the physical properties of the stratum crude oil;
the fourth acquisition module is used for acquiring first parameter data and second parameter data of the stratum crude oil through a fitting relation and acquiring physical property influence factors of the stratum crude oil according to the first parameter data and the second parameter data;
and the evaluation module is used for evaluating the physical properties of the stratum crude oil through the influence factors.
In an alternative embodiment, the third acquisition module includes: a first acquisition unit and a second acquisition unit,
the first acquisition unit is used for acquiring stratum crude oil physical properties, first parameter data fitting coefficients, second parameter data and second parameter fitting coefficients.
The second acquisition unit is used for obtaining the physical properties of the stratum crude oil and the first parameter data, and the fitting relation among the first parameter data fitting coefficient, the second parameter data and the second parameter fitting coefficient is obtained:
Y i ＝m 1i ×x 1i +m 2i ×x 2i +b i ；
wherein Y is the physical property of stratum crude oil; x is x 1 Is first parameter data; m is m 1 Fitting coefficients for the first parameters; x is x 2 Is the second parameter data; m is m 2 Fitting coefficients for the second parameters; b i To fit toA constant term; i is the number of samples.
In an optional implementation manner, the device provided by the embodiment of the invention further includes: a sixth acquisition module: for verifying a fit of the parameter data to the physical properties of the formation crude after the third acquisition module.
In an alternative embodiment, the sixth acquisition module includes: the second acquisition unit and the third acquisition unit:
the second acquisition unit is used for acquiring the significance and the correlation coefficient of the fitting relation;
and the third acquisition unit is used for determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the significance and the correlation coefficient.
In an optional implementation manner, the device provided by the embodiment of the invention further includes: a seventh acquisition module is provided for acquiring the data,
the seventh acquisition module is used for acquiring a judgment coefficient of the fitting relation;
a third acquisition unit including: and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the significance, the correlation coefficient and the judgment coefficient.
In an alternative embodiment, the seventh acquisition module includes: a fourth acquisition unit and a fifth acquisition unit;
the fourth acquisition unit is used for carrying out linear regression analysis on the fitting relation to obtain a regression square sum and a total dispersion square sum;
the fifth acquisition unit is configured to take, as a determination coefficient, a ratio of a regression square sum to a total dispersion square sum in the linear regression analysis.
In an alternative embodiment, the third acquisition unit comprises:
Under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the first comparison result and the second comparison result.
In an alternative embodiment, the third acquisition unit comprises:
under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
comparing the value of the judgment coefficient with a reference value to obtain a third comparison result;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the first comparison result, the second comparison result and the third comparison result.
In an alternative embodiment, the first parameter data comprises wax content and the second parameter comprises asphalt content.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
analyzing the obtained parameter data of crude oil physical properties, obtaining a scatter diagram representing the relation between the parameter data and stratum crude oil physical properties according to the parameter data, fitting the fitting relation between the parameter data and stratum crude oil physical properties according to the scatter diagram, obtaining first parameter data and second parameter data of crude oil according to the fitting relation, and evaluating stratum crude oil physical properties according to the ratio of the first parameter data to the second parameter data and the stratum crude oil physical property influence factor. By quantifying the relationship between the physical properties of the stratum crude oil and the crude oil parameters, a standard is provided for evaluating the physical properties of the stratum crude oil, the evaluation process of the physical properties of the stratum crude oil is simplified, and the evaluation efficiency and the accuracy of the evaluation result are improved. Because of the more parameters involved in evaluating the physical properties of the crude oil of the stratum, the defect that the related technology only adopts the content of the crude oil wax to evaluate the physical properties of the crude oil of the stratum, so that the evaluation result is single is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an evaluation method of physical properties of crude oil in a stratum provided by an embodiment of the invention;
FIG. 2 is a scatter plot of wax content, bitumen content and crude oil freezing point in crude oil provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a normal distribution of wax content provided by an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an evaluation device for physical properties of crude oil in a stratum according to an embodiment of the present invention.
Detailed Description
Unless defined otherwise, all technical terms used in the embodiments of the present invention have the same meaning as commonly understood by one of ordinary skill in the art.
In the process of oil field production, development and management, oil well paraffin precipitation and production system optimization are frequently encountered difficulties due to different crude oil physical properties and different exploitation degrees of broken stratum, and the scheme and effect of crude oil exploitation can be directly affected by different crude oil physical properties of stratum. In the exploitation process, wax precipitation occurs to different degrees due to the change of the physical properties of crude oil along with the change of temperature, pressure and chemical balance, whether normal production can be carried out under the changed physical properties of crude oil or not, and whether additional exploitation is needed or not is determined by the physical properties of crude oil in stratum.
For example, for the exploitation of high-freezing oil, the temperature of crude oil in an oil pipe can be increased, wax deposition on the inner wall of the oil pipe can be prevented, the viscosity of the crude oil can be reduced, and the fluidity of the crude oil can be changed by adopting a hollow rod electric heating technology. The underground energy is supplemented by the tertiary oil recovery which occurs along with different development degrees of the stratum breaking blocks, and the oil well production system changes during the process, so that the power consumption of the pumping unit in the submerged production is analyzed and the exploitation system of different positions of the stratum breaking blocks is predicted in order to more accurately judge the change of the physical properties of the stratum crude oil and the situation after the change of the water content of the stratum after the change of the physical properties of the stratum crude oil.
However, at present, no quantitative and convenient method for evaluating the physical properties of crude oil by using the wax content and the asphalt content in stratum crude oil exists.
And the power consumption of the pumping unit well can be influenced by poor physical properties of stratum breaking blocks, wax precipitation, scaling, sand production and the like of the oil well. In the production of the oil pumping unit, the power consumption of hundred meters per ton of liquid is used for analyzing the production parameters of the related oil well, and the maximum constraint precondition is the physical properties of crude oil of the stratum breaking block.
In recent years, the production parameters of the oil well are changed by optimizing an electric heating system, optimizing a well flushing period and the like, and the electric heating and well flushing period is optimized, so that the dosage of the oil well is controlled and the like, and a decision is made according to the physical properties of the crude oil of the stratum.
At present, the exploitation difficulty of high-freezing oil is different, the physical properties of crude oil are different, more relevant parameters of the physical properties of stratum crude oil are obtained through assay analysis in terms of analysis of the physical properties of crude oil, the wax content is used for representing the solidifying point of crude oil, and further the physical properties of crude oil are roughly judged. The method has the advantages of less analysis factors, researches on the wax content, roughly calculates the solidifying point, has no influence of factors such as asphalt, and the like, and has the advantages of singleness, low reliability and incapability of better reflecting the relation between the physical properties of stratum crude oil, the wax content and the asphalt content. In particular, in the evaluation of high-freezing point oil, it is difficult to reflect the physical properties of high-freezing point oil mainly by using wax content as a factor for limiting the freezing point. In order to solve the problems, the invention provides a method for evaluating physical properties of stratum crude oil by using wax content and colloid asphalt content.
In one aspect, an embodiment of the present invention provides a method for evaluating physical properties of crude oil in a formation, as shown in fig. 1, where the method includes:
and 101, acquiring parameter data affecting physical properties of crude oil of the stratum, wherein the parameter data meets normal distribution.
In an alternative embodiment, the fitted relationship of the parameter data to the physical properties of the formation crude oil is:
Y i ＝m 1i ×x 1i +m 2i ×x 2i +b i ；
wherein Y is i Is the physical property of stratum crude oil, and the unit is the temperature; x is x 1 Data,%; m is m 1 Fitting coefficients for the first parameters; x is x 2 Data for the second parameter,%; m is m 2 Fitting coefficients for the second parameters; b i Fitting constant terms; i is the number of samples.
And analyzing the acquired parameter data affecting the physical properties of the stratum crude oil to obtain the relationship between the parameter data and the physical properties of the stratum crude oil. The physical properties of crude oil in a stratum can also be called high-pressure physical properties, and are physical properties of petroleum under the pressure and temperature of an underground oil layer. The content of the method comprises the following steps: the solidifying point of crude oil, the original saturation pressure of an oil layer, the original oil-gas ratio, the viscosity of the crude oil of a stratum, the dissolution coefficient, the compression coefficient, the density of the crude oil of the stratum, the volume coefficient of the crude oil and the like. These physical parameters are the essential basis for studying the type of oilfield driving, determining oilfield development schemes, calculating oilfield reserves, selecting well production regimes, and the like.
The parameter data affecting the physical properties of stratum crude oil is obtained by closing the oil well, measuring the static pressure of the oil well, opening the oil well by using a small oil nozzle, discharging dead oil at the bottom of the well, then placing the dead oil into a stratum crude oil physical property sampler, taking out a fresh oil sample at the middle part of the oil layer, and analyzing by a special equipment test of a laboratory.
From the above, it is apparent that the physical properties of the crude oil in the stratum are very much included, and the embodiment of the present invention mainly analyzes the solidification point of the crude oil, thereby obtaining the evaluation of the physical properties of the crude oil in the stratum. There are many parameters affecting the freezing point of crude oil, such as wax content, bitumen content, sulfur content, and carbon content. By datamation of the parameters, the relation between the parameter data and the solidifying point is obtained, and further the physical properties of the stratum crude oil are evaluated.
Aiming at the analysis of crude oil physical properties of high-freezing oil, the embodiment of the invention mainly obtains the wax content and the asphalt content by taking the wax content and the asphalt content as influencing parameters for influencing the crude oil physical properties of stratum, and analyzes the data. A scatter plot of wax content, bitumen content, and formation crude oil physical properties was drawn through Microsoft Office Excel.
And 102, acquiring a scatter diagram representing the physical property relation between the parameter data and the stratum crude oil according to the parameter data.
As an example, the embodiment of the present invention selects the wax content and the asphalt content of 36 wells, and known the temperature of the solidification point corresponding to each asphalt content and wax content, and specific data are shown in table 1:
TABLE 1
By analyzing the data in table 1, based on the data in table 1, statistics were performed on the data by Microsoft Office Excel, and a scatter diagram showing the asphalt content, wax content and freezing point was drawn by Microsoft Office Excel, and the obtained scatter diagram is shown in fig. 2. As can be seen from fig. 2, the bitumen content, wax content of crude oil are linearly related to the freezing point of crude oil. The normal analysis can be carried out on the wax content and the asphalt content, so that the asphalt content and the wax content in the crude oil can be obtained to meet the normal distribution. It can also be seen from fig. 2 that the wax content promotes wax precipitation, while the asphalt suppresses wax precipitation, and it is considered that both the wax content and the asphalt content affect the solidification point, but to different extents.
Although the related art suggests that the wax content and the asphalt content have a relationship with the physical properties of crude oil, no relationship is suggested, and no quantitative analysis is given. By the method provided by the embodiment of the invention, the relation between the asphalt amount, the wax content and the physical properties of the crude oil can be more intuitively, clearly and simply seen through the relational expression, and the efficiency of evaluating the physical properties of the crude oil in the stratum is improved.
Taking the wax content in crude oil as an example, taking the wax content data in the table 1 as random variables, and taking the wax content intervals as 5%, 5-10%, 10-15%, 15-20%, 20-25%, 25-30%, 30-35%, 35-40%, 40-45%, 45-50%, 50-55%, 55-60% and 60-65% respectively, carrying out normal analysis on the wax content scatter diagram in the figure 2 by taking any interval of 5%, 6%, 10%, 15% or 20% as frequency, wherein the wax content accords with normal distribution in any interval through analysis. Specific segments and analysis results are shown in table 2:
TABLE 2
Normal analysis was performed to obtain the results of fig. 3, and it can be seen from fig. 3 that the wax content in the crude oil conforms to the normal distribution. Wherein the mathematical expectation μ is 31.42%, variance σ 2 8.30126, i.e. the random variable wax content meets the mathematical expectation μ of 31.41889, variance σ 2 Is a normal distribution of 8.30126. The asphalt content in fig. 2 was normally distributed by the same method, and the asphalt content also conforms to the normal distribution, which was obtained by analysis.
Although the analysis of variables is common through the n-Tai distribution in mathematics, the parameter data of crude oil physical properties are used as variables, and the embodiment of the invention fully utilizes the relation among the physical properties of wax, asphalt and crude oil, analyzes the physical properties of high-freezing point oil, and improves the efficiency of analyzing the physical properties of the high-freezing point oil and the accuracy of analysis results.
And step 103, fitting the parameter data according to the scatter diagram to obtain a fitting relation between the parameter data and the physical properties of the stratum crude oil.
In an alternative embodiment, the fitting relationship of the parameter data obtained by fitting Microsoft Office Excel to the scatter plot is: y is Y i ＝m 1i ×x 1i +m 2i ×x 2i +b i . Wherein Y is i Is a stratumCrude oil physical properties; x is x 1 Is first parameter data; m is m 1 Fitting coefficients for the first parameters; x is x 2 Is the second parameter data; m is m 2 Fitting coefficients for the second parameters; b i Fitting constant terms; i is the number of samples.
And 104, acquiring first parameter data and second parameter data of the formation crude oil through a fitting relation, and acquiring physical property influence factors of the formation crude oil according to the first parameter data and the second parameter data.
There are many parameters affecting the physical properties of crude oil in a formation, such as wax content, bitumen content, sulfur content, or carbon content. The wax content and the asphalt content have great influence on the physical properties of the crude oil of the high-freezing point oil, and the sulfur content and the carbon content have negligible influence on the high-freezing point oil relative to the wax content and the asphalt content. The embodiment of the invention selects and analyzes the wax content and the asphalt content which have great influence on the physical properties of the crude oil of the high-freezing oil stratum. That is, the first parameter data is wax content and the second parameter data is asphalt content.
Through the formula, parameter data influencing the physical properties of the crude oil of the stratum can be calculated. For example, when the wax content of a certain oil well and the solidifying point of crude oil corresponding to the wax content are known, the asphalt content can be calculated by the above formula, or when the asphalt content and the wax content of a certain oil well are known, the solidifying point of the oil well can be calculated.
Taking the wax content data and bitumen content data provided in table 1 above as an example, the above data were processed using the LINEST (knowny's, knownx's, const, stats) function in Microsoft Office Excel to obtain relevant parameters, as shown in table 3:
TABLE 3 Table 3
It will be appreciated that the LINEST (knowny's, knownx's, const, stats) function in Microsoft Office Excel is to use the least squares method to best fit a line to the known data and return an array describing that line.
The grammar for the calculation is as follows:
LINEST(known_y's,known_x's,const,stats)，
known_y's is a set of y values Known in the relational expression y=mx+b. In the embodiment of the invention, the collection is a collection of crude oil wax content data, asphalt content data and crude oil freezing point data.
If the array of knowny's is a single column of dependent variables at the freezing point, then the wax content of the knownx's, bitumen, is considered as an independent set of variables for each column. Alternatively, the array knownx's may also contain one or more sets of variables. If only one variable is used for the knownx's, then the knownx's and the knowny's can be regions of any shape as long as the knownx's and the knowny's have the same dimension. If multiple variables are used, then the knowny's must be vectors (i.e., must be a row or column)
If the knownx's are omitted, the array is assumed to be {1,2, 3.} which is the same size as the knowny's.
Const is a logical value specifying whether the constant b is forced to 0.
If const is TRUE or omitted, b will be calculated as normal.
If const is FALSE, b will be set to 0 and the value of m will be adjusted at the same time so that y=mx.
In the examples of the present invention, the average wax content of the crude oil of the above examples was found to be 31.42% according to the relationship between the b-fit constant term and the average wax content. So const is TRUE or omitted from the function setting.
Stats is a logical value specifying whether additional regression statistics are returned.
If stats is TRUE, the LINEST function returns additional regression statistics, and the returned array is { mn, mn-1, & gt, m1, b; sen, sen-1, se1, seb; r2, sey; f, df; ssreg, ssresid }.
If stats is FALSE or omitted, the LINEST function returns only the coefficient m and the constant b.
The relation between wax content, asphalt content and solidifying point in crude oil physical property is obtained by automatic operation of LINEST (knock_y's, knock_x's, const, stats) function in Microsoft Office Excel:
Y＝0.6476*x1-0.1709*x2+31.3906
wherein: y-crude oil freezing point in units of deg.C; x 1-crude bitumen, units; x 2-crude wax content in% units.
In this embodiment, a fitting coefficient of the first parameter wax content and the second parameter asphalt content may be obtained, and then another parameter data may be calculated by knowing two parameter data of the obtained formula y=0.6476×1-0.1709×2+31.3906. For example, knowing the wax content and the bitumen content, the freezing point of the crude oil at that wax content and bitumen content can be calculated. Or knowing the solidifying point of the wax content corresponding to the wax content, the content of the corresponding asphalt under the solidifying point can be calculated.
In an alternative embodiment, after fitting the parameter data according to the scatter diagram to obtain the fitting relation between the parameter data and the physical properties of the crude oil of the stratum, the method further comprises: and (5) checking the fitting relation between the parameter data and the physical properties of the stratum crude oil.
In an alternative embodiment, verifying a fit of the parameter data to the physical properties of the formation crude oil comprises:
obtaining significance and correlation coefficient of the fitting relation;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the significance and the correlation coefficient.
By checking the obtained fitting relation, the correctness and the accuracy of the fitting relation in practice are ensured.
In an alternative embodiment, the fitting relationship between the parameter data and the physical properties of the crude oil of the stratum is checked, and the method further comprises:
obtaining a judgment coefficient of the fitting relation;
determining a correlation between the parameter data in the fitting relationship and the physical properties of the crude oil of the stratum according to the significance and the correlation coefficient, wherein the correlation comprises the following steps:
and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the significance, the correlation coefficient and the judgment coefficient.
In an alternative embodiment, obtaining the decision coefficients of the fitting relationship includes:
Performing linear regression analysis on the fitting relation to obtain a regression square sum and a total dispersion square sum;
the ratio of the sum of squares of the regression and the sum of squares of the total dispersion is taken as a judgment coefficient.
In an alternative embodiment, determining a correlation between parameter data in a fit relationship and formation crude oil properties based on the decision coefficients comprises:
and comparing the value of the judgment coefficient with a reference value to obtain a comparison result.
For example, the reference value is 1. The larger the decision coefficient value is, the larger the correlation between the formation crude oil physical properties and the parameter data is, which the fit relation reacts to, when the ratio of the regression square sum to the total dispersion square sum is close to 1.
The decision coefficient is also called a determinable coefficient or a decision coefficient, and refers to the ratio of the sum of squares of the regression to the sum of squares of the total dispersion in linear regression. It is a measure of goodness of fit to the estimated regression equation. The decision coefficient is denoted as R.
The calculation process is as follows: assume a dataset comprising: y is 1 ，…，y n N observations are added, and the corresponding model predictive values are f respectively 1 ，…，f n . Defining residual e i ＝y i -f i Average observed value ofThe sum of squares can then be obtainedRegression sum of squares->Sum of squares of residuals->Thus, the decision coefficient may be defined as: />The closer the determination coefficient R is to 1, the higher the goodness of fit of the fitting relation is explained.
In the embodiment provided by the invention, the determination coefficient R is calculated according to the data in the table 1 and the data in the figure 3 by the calculation process and the calculation of Microsoft Office Excel 2 The index indicating the extent of the relationship between the formation crude oil properties, wax content and bitumen content, which is the result of regression analysis of the fit relationship, is relatively significant, and there is a great correlation.
In an alternative embodiment, determining a correlation between parameter data in a fitted relationship and formation crude oil properties based on significance and correlation coefficients, comprises:
under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the first comparison result and the second comparison result.
In an alternative embodiment, determining a correlation between the parameter data in the fit relationship and the formation crude oil property based on the significance, the correlation coefficient, and the decision coefficient comprises:
Under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
comparing the value of the judgment coefficient with a reference value to obtain a third comparison result;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the first comparison result, the second comparison result and the third comparison result.
Verifying the significance of the fit relationship includes: under the condition that the significance level factors are set, the significance level parameters of the control group are obtained from the first degree of freedom to the second degree of freedom, the significance level parameters of the fitting relation are larger than those of the control group, and the correlation between the parameter data of the fitting relation reaction and the physical properties of the stratum crude oil is significant.
The significance test refers to making a hypothesis on the parameter or overall distribution form of the overall (random variable) in advance, and then judging whether the hypothesis (alternative hypothesis) is reasonable or not by using sample information, namely judging whether the real situation of the overall is significantly different from the original hypothesis or not. Alternatively, the significance test determines whether the difference between the sample and our assumptions made about the population is purely opportunistic variation or is caused by inconsistencies between our assumptions made and the population's reality.
The significance level is the probability that the estimated overall parameter falls within a certain interval, denoted by α, and may make a mistake.
Statistically, the degree of freedom refers to the number of independent or freely variable data in a sample when the overall parameter is estimated from the statistic of the sample, and is referred to as the degree of freedom of the statistic. In general, the degree of freedom is equal to the independent variable minus its derivative number. For example, the variance is defined as the sample minus the average (a derivative determined by the sample), so the degree of freedom for N random samples is N-1.
By setting the significance level of the control group to a=0.05, and the first degree of freedom V1, the second degree of freedom V2, in the embodiment of the present invention, the number of samples provided is 36 wells, and thus, degrees of freedom v1=3, v2=33. When the significance level was a=0.05, the degrees of freedom v1=3, v2=33, the significance F value in this range was 2.892 by calculation of Microsoft Office Excel, while the significance f= 23.9470 provided by the example of the present invention was greater than the significance level of a=0.05 for the above control group, the degrees of freedom v1=3, and the significance f= 2.892 for v2=33. Therefore, it is concluded that the regression equation reflects well the linear relationship between the variables wax content, bitumen content and formation crude oil properties.
In an alternative embodiment, the correlation coefficient test comprises: under the condition that the significance level factor is set, the correlation coefficient of the comparison group is obtained from the first degree of freedom to the second degree of freedom, the absolute value of the correlation coefficient of the fitting relation is larger than that of the correlation coefficient of the comparison group, and all variables in the fitting relation can evaluate the physical properties of the stratum crude oil.
The correlation coefficient is a measure of the degree of linear correlation between study variables and is generally indicated by the letter r. The correlation coefficient in the examples of the present invention refers to the amount of investigation of correlation between the physical property freezing point of crude oil and wax content and the degree of correlation between asphalt.
In the embodiment of the present invention, when the significance level of the control group is a=0.05 and the degree of freedom v2=33, the TINV (0.05, 33) = 2.0345 of the control group is calculated by the TINV function in Microsoft Office Excel. Taking absolute values of the t results to be larger than 2.0345; thus, all variables of the regression equation can be used to estimate the freezing point values in the crude oil physical properties. Where the TINV function represents the meaning of returning the t-value of the student's t-profile as a function of probability and degree of freedom. By inputting the above significance level of a=0.05 and the degree of freedom v2=33 into the TINV function in the pass Microsoft Office Excel, TINV (0.05, 33) = 2.0345 under this condition can be calculated.
The values of the correlation coefficients t calculated by the TINV function in table 1, which are the parameter data provided in the embodiment of the present invention, are shown in table 4:
TABLE 4 Table 4
| Parameters (parameters) | m 2 | m 1 |
| Calculation result | -0.1709 | 0.6476 |
| Parameters (parameters) | se 2 | se 1 |
| Calculation result | 0.0583 | 0.0937 |
| Parameters (parameters) | m 2/se2 | m 1/se1 |
| t calculation result | -2.9315 | 6.9148 |
Where m2 and m1 represent coefficients of the parameters, and se2 and se1 represent return values of the fitting function during regression. t represents a correlation coefficient. As can be seen from table 4, the absolute values of t calculated were all greater than the control group at a significance level of a=0.05 and degrees of freedom v2=33, and TINV (0.05, 33) = 2.0345 under this condition was calculated. Therefore, the fitting relation provided by the embodiment of the invention can be obtained to well represent the relation between the physical properties of the stratum crude oil and the wax content and the asphalt content of the parameter data.
And step 105, evaluating physical properties of the stratum crude oil through the influence factors.
And obtaining a fitting relation through the steps, and calculating first parameter data and second parameter data in the crude oil, wherein the ratio of the first parameter data to the second yield data is an influence factor for evaluating the physical properties of the stratum crude oil, and the influence factor can be marked as K. The smaller the influencing factor, the better the physical properties of the crude oil of the stratum.
From the above ratio, it can be seen that, in the case where the K value is constant, the wax content promotes the precipitation of wax, whereas asphalt suppresses the precipitation of wax, and it is considered that both the wax content and the asphalt content affect the solidification point, but the degree of influence is different.
In an alternative embodiment, the first parameter data is wax content and the second parameter data is asphalt content.
In an alternative embodiment, a scatter plot of the parameter data and the formation crude oil properties is obtained via Microsoft Office Excel, the scatter plot is analyzed and the parameter data is fitted.
The embodiment of the invention gives quantitative constraint relation to crude oil physical properties of the stratum by relating wax content and asphalt content related to crude oil physical properties in the stratum. According to the relation between the wax content and the asphalt content and the physical properties of stratum crude oil, an influence factor K is provided, and according to the empirical value in actual operation, the rheological property of the crude oil is directly influenced by the content ratio of the wax to the asphalt, the stratum environment and the like, the influence factor K is definitely layered, and the influence factor K is classified into four grades.
When the value of the influence factor K provided by the embodiment of the invention is 0-1, the grade of the crude oil is A grade, and the crude oil is not easy to be waxed at the moment, and the quality of the crude oil is good. When the K value is 1-2, the grade of crude oil is grade B, and at the moment, the crude oil is slightly waxy, and the quality of the crude oil is general. When the K value is 2-3, the grade of the crude oil is C grade, and at the moment, the crude oil is easy to wax, and the quality of the crude oil is poor. When the K value is more than 3, the grade of the crude oil is D grade, and the crude oil is light and severely waxed at the moment, so that the quality of the crude oil is poor.
The physical properties of the stratum crude oil are evaluated through the four grades, so that quantification and qualitative evaluation of the physical properties of the stratum crude oil are realized. Through the influence factors, the relation between the wax content, the asphalt content and the physical properties of the stratum crude oil can be intuitively obtained, and the accurate evaluation of the physical properties of the stratum crude oil can be realized.
According to the method provided by the embodiment of the invention, the physical properties of the stratum crude oil, the wax content and the asphalt content are expressed by utilizing the linear relation, so that the evaluation result of the physical properties of the stratum crude oil can be rapidly obtained, and the evaluation efficiency is improved.
On the other hand, the embodiment of the invention also provides a stratum crude oil physical property evaluation device, as shown in fig. 4, which comprises:
a first obtaining module 201, configured to obtain parameter data affecting physical properties of crude oil in a stratum, where the parameter data satisfies normal distribution;
a second obtaining module 202, configured to obtain a scatter diagram representing a physical property relationship between the parameter data and the crude oil of the stratum according to the parameter data;
the third obtaining module 203 is configured to fit the parameter data according to the scatter diagram, so as to obtain a fitting relationship between the parameter data and physical properties of the crude oil of the stratum;
A fourth obtaining module 204, configured to obtain first parameter data and second parameter data of the formation crude oil according to the fitting relationship, and obtain physical property influence factors of the formation crude oil according to the first parameter data and the second parameter data;
an evaluation module 205 for evaluating formation crude oil physical properties by the impact factor.
Optionally, the third obtaining module 203 includes: a first acquisition unit and a second acquisition unit,
the first acquisition unit is used for acquiring stratum crude oil physical properties, first parameter data fitting coefficients, second parameter data and second parameter fitting coefficients.
The second acquisition unit is used for obtaining the physical properties of the stratum crude oil and the first parameter data, and the fitting relation among the first parameter data fitting coefficient, the second parameter data and the second parameter fitting coefficient is obtained:
Y i ＝m 1i ×x 1i +m 2i ×x 2i +b i ；
wherein Y is the physical property of stratum crude oil; x is x 1 Is first parameter data; m is m 1 Fitting coefficients for the first parameters; x is x 2 Is the second parameter data; m is m 2 Fitting coefficients for the second parameters; b i Fitting constant terms; i is the number of samples.
Optionally, the device provided by the embodiment of the invention further includes: a sixth acquisition module: for checking the fit of the parameter data to the physical properties of the formation crude after the third acquisition module 203.
Optionally, the sixth acquisition module includes: the second acquisition unit and the third acquisition unit:
the second acquisition unit is used for acquiring the significance and the correlation coefficient of the fitting relation;
and the third acquisition unit is used for determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the significance and the correlation coefficient.
Optionally, the device provided by the embodiment of the invention further includes: a seventh acquisition module is provided for acquiring the data,
the seventh acquisition module is used for acquiring a judgment coefficient of the fitting relation;
a third acquisition unit including: and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the significance, the correlation coefficient and the judgment coefficient.
Optionally, the seventh acquisition module includes: a fourth acquisition unit and a fifth acquisition unit;
the fourth acquisition unit is used for carrying out linear regression analysis on the fitting relation to obtain a regression square sum and a total dispersion square sum;
the fifth acquisition unit is configured to take a ratio of the regression square sum to the total dispersion square sum as a determination coefficient.
Optionally, the third obtaining unit includes:
under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
Comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the first comparison result and the second comparison result.
Optionally, the third obtaining unit includes:
under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
comparing the value of the judgment coefficient with a reference value to obtain a third comparison result;
and determining the correlation between the parameter data in the fitting relation and the physical properties of the crude oil of the stratum according to the first comparison result, the second comparison result and the third comparison result.
Optionally, the first parameter data is wax content and the second parameter is asphalt content.
According to the device provided by the embodiment of the invention, the physical properties of the stratum crude oil, the wax content and the asphalt content are expressed by utilizing the linear relation, so that the evaluation result of the physical properties of the stratum crude oil can be rapidly obtained, and the evaluation efficiency is improved.
Any combination of the above-mentioned optional solutions may be adopted to form an optional embodiment of the present disclosure, which is not described herein in detail.
The above description is illustrative of the invention and is not intended to limit the scope of the invention, but any modifications, equivalents, improvements, etc. within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (4)
1. A method for evaluating physical properties of crude oil in a formation, the method comprising:
acquiring parameter data affecting physical properties of stratum crude oil, wherein the parameter data meets normal distribution;
acquiring a scatter diagram representing the physical property relation between the parameter data and the stratum crude oil according to the parameter data;
fitting the parameter data according to the scatter diagram to obtain a fitting relation between the parameter data and the physical properties of the stratum crude oil, wherein the fitting relation between the parameter data and the physical properties of the stratum crude oil is as follows:
Y i = m 1i ×x 1i + m 2i ×x 2i + b i ；
Wherein Y is i Is the physical property of stratum crude oil; x is x 1i Is first parameter data; m is m 1i Fitting coefficients for the first parameters; x is x 2i Is the second parameter data; m is m 2i Fitting coefficients for the second parameters; b i Fitting constant terms; i is the number of samples;
obtaining significance, correlation coefficient and judgment coefficient of the fitting relation;
under the condition of setting a significance level factor, obtaining significance level parameters and correlation coefficients of a control group from the first degree of freedom to the second degree of freedom;
comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result;
comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result;
comparing the value of the judgment coefficient with a reference value to obtain a third comparison result;
determining the correlation between the parameter data in the fitting relation and the physical properties of the stratum crude oil according to the first comparison result, the second comparison result and the third comparison result;
acquiring first parameter data and second parameter data of formation crude oil through the fitting relation, and acquiring influence factors of physical properties of the formation crude oil according to the first parameter data and the second parameter data;
And evaluating the physical properties of the stratum crude oil through the influence factors.
2. The method for evaluating physical properties of crude oil in a stratum according to claim 1, wherein the obtaining of the determination coefficients of the fitting relation comprises:
performing linear regression analysis on the fitting relation to obtain a regression square sum and a total dispersion square sum;
and taking the ratio of the regression square sum to the total dispersion square sum as the judgment coefficient.
3. The method of evaluating physical properties of crude oil in a subterranean formation according to claim 1, wherein the first parameter data comprises wax content and the second parameter data comprises asphalt content.
4. An evaluation device of physical properties of a crude oil in a stratum for performing the evaluation method of physical properties of a crude oil in a stratum as claimed in any one of claims 1 to 3, characterized in that the device comprises:
the first acquisition module is used for acquiring parameter data affecting the physical properties of stratum crude oil, wherein the parameter data meets normal distribution;
the second acquisition module is used for acquiring a scatter diagram representing the physical property relation between the parameter data and the stratum crude oil according to the parameter data;
the third obtaining module is used for fitting the parameter data according to the scatter diagram to obtain a fitting relation between the parameter data and the physical properties of the stratum crude oil, wherein the fitting relation between the parameter data and the physical properties of the stratum crude oil is as follows: y is Y i = m 1i ×x 1i + m 2i ×x 2i + b i The method comprises the steps of carrying out a first treatment on the surface of the Wherein Y is i Is the physical property of stratum crude oil; x is x 1i Is first parameter data; m is m 1i Fitting coefficients for the first parameters; x is x 2i Is the second parameter data; m is m 2i Fitting coefficients for the second parameters; b i Fitting constant terms; i is the number of samples;
the sixth acquisition module comprises a second acquisition unit and a third acquisition unit;
the second obtaining unit is used for obtaining the significance, the correlation coefficient and the judgment coefficient of the fitting relation;
the third obtaining unit is used for obtaining the significance level parameters and the correlation coefficients of the control group from the first degree of freedom to the second degree of freedom under the condition of setting the significance level factors; comparing the significance level parameters of the fitting relation with the significance level parameters of the control group to obtain a first comparison result; comparing the correlation coefficient of the fitting relation with the correlation coefficient of the control group to obtain a second comparison result; comparing the value of the judgment coefficient with a reference value to obtain a third comparison result; determining the correlation between the parameter data in the fitting relation and the physical properties of the stratum crude oil according to the first comparison result, the second comparison result and the third comparison result;
The fourth acquisition module is used for acquiring first parameter data and second parameter data of crude oil through the fitting relation and acquiring stratum crude oil physical property influence factors according to the first parameter data and the second parameter data;
and the evaluation module is used for evaluating the physical properties of the stratum crude oil through the influence factors.
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