CN107589236B - Shale gas multi-factor area selection evaluation method based on fuzzy matrix - Google Patents
Shale gas multi-factor area selection evaluation method based on fuzzy matrix Download PDFInfo
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- CN107589236B CN107589236B CN201710826810.6A CN201710826810A CN107589236B CN 107589236 B CN107589236 B CN 107589236B CN 201710826810 A CN201710826810 A CN 201710826810A CN 107589236 B CN107589236 B CN 107589236B
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Abstract
The invention discloses a shale gas multi-factor area selection evaluation method based on a fuzzy matrix, which comprises the following steps: step 1, researching the geometric characteristics, formation mechanism and basin properties of basin control fracture, and establishing a static geological model; step 2, researching the kinematic characteristics of basin fracture, and carrying out three-history analysis such as structural evolution history, mud shale burying history and hydrocarbon generation history; step 3, refining the static and dynamic evaluation characteristics of the shale, defining various parameters of shale gas separation area evaluation and assigning values; step 4, constructing a fuzzy matrix and carrying out multi-factor evaluation; and 5, determining the selected area evaluation results of the shale gas scenic areas and the favorable areas. The multi-factor selective evaluation method for the shale gas scenic spots and favorable areas integrates various dynamic and static parameters in the shale gas forming and enriching processes, performs selective evaluation by using a mathematical method based on a fuzzy matrix, reduces artificial interference factors as far as possible, and has important significance for accelerating the selective process and exploration pace of the shale gas.
Description
Technical Field
The invention belongs to the technical field of shale gas exploration, and particularly relates to a shale gas multi-factor area selection evaluation method based on a fuzzy matrix and suitable for shale gas scenic areas and favorable areas.
Background
The method has the advantages of wide breadth of our country, complex geological structure conditions, and many types and numbers of oil-gas-containing basins. The complicated multi-phase tectonic movement determines that the shale rich in organic substances has more deposition types, the shale gas forming geological conditions are complicated, and the difference of the enrichment main control factors is large.
The shale gas exploration in China starts late, although the shale gas exploration and development in China in multiple areas in south such as the coke dam and the like are broken through since 2012, the data is greatly enriched, but the shale types in China are multiple, the construction activity period is multiple, the shale hydrocarbon generation period is multiple, the shale gas damage in the later period is serious, the storage condition requirement is high, the shale gas exploration and development are limited by the data and the shale gas recognition degree, the factors for evaluating and considering the selection areas of the shale gas scenic area and the favorable area are single, the artificial randomness is high, and the selection area process and the exploration pace of the shale gas in China are restricted.
Disclosure of Invention
Aiming at the characteristics of more shale types, more construction activity periods, more shale hydrocarbon generation periods, serious damage to shale gas in later period and high requirement on storage conditions in China, the invention provides a shale gas multi-factor area selection evaluation method based on a fuzzy matrix, solves the technical problem of area selection evaluation of shale gas scenic spots and favorable areas, and fills the blank of the research at home and abroad.
In order to achieve the purpose, the invention adopts the technical scheme that:
a shale gas multi-factor area selection evaluation method based on a fuzzy matrix comprises the following steps:
Preferably, in step 1, the geometric characteristics include: the properties of pot control breakage, breakage grade, breaking distance, trend statistics, rose diagram compilation, fault occurrence and a plane-section structure style of pot control breakage.
Preferably, in step 3, the sub-item parameters include sedimentary phase, thickness, depth, organic matter type, residual organic carbon, maturity, gas content, structural evolution history, shale hydrocarbon generation history, preservation conditions and the like of the organic-rich shale.
Preferably, in step 4, the specific step of obtaining the fuzzy matrix from the scoring matrix is as follows: the scoring matrix is orthogonally rotated to obtain a main factor matrix subset, and the scoring matrix is transferred upwards to be a fuzzy matrix.
The invention has the advantages that:
the shale gas scenic spot selection evaluation method based on the fuzzy matrix integrates various dynamic and static characteristic parameters in the shale gas forming and enriching processes, constructs the fuzzy matrix by a mathematical method, considers various factors, performs selection evaluation by a multi-parameter method, reduces artificial interference factors as far as possible, and has important significance for accelerating shale gas selection and exploration pace.
Drawings
FIG. 1 is a technical flow diagram of an implementation of the present invention;
FIG. 2 is a geological profile of a region of the invention;
FIG. 3 is a diagram of a current static geological model of a basin in accordance with the present invention;
FIG. 4 is a sectional view showing the development of a structure in a certain area according to the present invention;
FIG. 5 is a graph showing the history of hydrocarbon generation in a well in a basin according to the present invention;
FIG. 6 is a table of basin scoring matrices in accordance with the present invention;
FIG. 7 is a fuzzy matrix in the present invention;
FIG. 8 is a judgment subset in the present invention;
FIG. 9 shows the result of evaluation of the basin in the present invention.
Detailed Description
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Fig. 1 is a technical flow chart of the shale gas scenic spot selection evaluation method based on the fuzzy matrix.
TABLE 1 Primary parameters and assignments considered for Primary organophilic shale Hydrocarbon Generation conditions
Table 2 main parameters and assignments considered for main organic-rich shale reservoir conditions
TABLE 3 shale gas cap layer and storage conditions considered major parameters and assignments
TABLE 4 shale gas formation evolution and trapping conditions considered major parameters and assignments
The calculation formula of the shale gas separation area evaluation is as follows:
p-basin shale gas probability (P is more than or equal to 0 and less than or equal to 1)
Pi-the probability of existence (occurrence) of a single-term reservoir geological condition (P is more than or equal to 0 and less than or equal to 1).
The probability of the five types of evaluation parameters depends on the quality of sub-geological factors (the parameter system is shown in tables 1-4). And grading each sub-item geological factor, and giving an evaluation standard and an evaluation coefficient (parameter value standard). The probability of the existence of a shale gas reservoir condition may be represented by a weighted average of the sub-term geologic factor evaluation values.
i 
（i=1,2,3,4,5 j=1,2,3,…）
Pij-evaluation value of each sub-item factor (0. ltoreq. P)ij≤1)
qi is the weight of each sub-item factor.
After each sub-item parameter system is determined, firstly, the basins/blocks are queued in a reverse order according to main factors of evaluation parameters of the five categories of raw, storage, covering, enclosing and protection to form a scoring matrix, then, the main factor matrix subset is obtained through orthogonal rotation, and the scoring matrix is converted into a fuzzy matrix P = { P =ijAnd (4) forming a vector set Q = { Q1, Q2, … and Q5} by using the accumulated variance contribution value (more than 90%) of each main factor as a weight coefficient, and performing weighted summation to obtain a comprehensive judgment set P = P multiplied by Q, which is equivalent to matrix multiplication.
Fig. 6-8 are diagrams of the selected area evaluation process of the simulation basin, fig. 6 is a basin principal factor scoring matrix table, fig. 7 is a fuzzy matrix obtained after orthogonal rotation and linear transformation composite operation, and fig. 8 is a judgment subset obtained after matrix multiplication. The flow proceeds to step 5.
According to the shale gas multi-factor area selection evaluation method based on the fuzzy matrix, a static geological model of the basin is established by researching the geometric characteristics, the forming mechanism and the basin properties of basin control fracture. And (3) determining the hydrocarbon generation characteristics of the shale by analyzing the structural evolution history, the burial history of the shale and the hydrocarbon generation history in a three-history mode. Through static and dynamic evaluation characteristic analysis of the shale, various parameters of shale gas separation area evaluation are defined and assigned. Finally constructing a fuzzy matrix on the basis of the research, and performing multi-factor region selection evaluation by using a mathematical method to determine the shale gas prospect area and the favorable area. The shale gas multi-factor area selection evaluation method based on the fuzzy matrix integrates various dynamic and static parameters in the shale gas forming process to perform area selection evaluation, reduces the human interference factor as far as possible, and has important significance for accelerating the area selection process and exploration pace of shale gas. The research result is unique and innovative and can fill the blank of domestic and foreign research.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and various modifications and improvements of the technical solutions of the present invention may be made by those skilled in the art without departing from the spirit of the present invention, and the technical solutions of the present invention are within the scope of the present invention defined by the claims.
Claims (4)
1. A shale gas multi-factor area selection evaluation method based on a fuzzy matrix is characterized by comprising the following steps:
step 1, establishing a basin static geological model: researching the geometric characteristics of basin control fracture, and establishing a basin static geological model according to a geological profile;
step 2, "three history" analysis: the three histories are a structural evolution history, a burial history and a hydrocarbon generation history of the shale, the balance section is manufactured by researching the paleo-drop of the fracture of the basin, the kinematic characteristics of the fracture are researched, and the structural evolution history is analyzed; calibrating a reflection marker layer of the shale rich in organic matters on the seismic section, and making a burial history curve of the shale according to the structural evolution history of the basin; selecting a shale sample with low evolution degree, simulating the hydrocarbon generation process of the shale and the amount of secondary hydrocarbons in each stage by an experiment to obtain hydrocarbon yield curves of the shale in different evolution stages, and analyzing the hydrocarbon generation history of the shale mainly rich in organic substances in the basin;
step 3, defining evaluation parameters: refining five types of evaluation parameters of shale gas remote scenic area and favorable area evaluation, namely raw, storage, covering, enclosing and protecting into sub-item parameters, and defining and assigning the sub-item parameters;
step 4, constructing a fuzzy matrix: firstly, performing reverse-order queuing on each basin/block according to main factors of five types of evaluation parameters to form an evaluation matrix, and then performing orthogonal rotation and linear transformation composite operation to obtain a fuzzy matrix P = { pij }; using the accumulated variance contribution value of each main factor, wherein the accumulated variance contribution value reaches more than 90%, and using the accumulated variance contribution value as a weight coefficient to form a vector set Q = { Q1, Q2, … and Q5}, and performing weighted summation to obtain a comprehensive judgment set P = P × Q;
step 5, determining the selected area evaluation result: and performing numerical analysis on the evaluation subset calculated by the matrix to finally determine an evaluation result, wherein the higher the score is, the more favorable the basin/block is.
2. The shale gas multi-factor selection evaluation method based on the fuzzy matrix as claimed in claim 1, wherein in step 1, the geometrical characteristics comprise: the properties of pot control breakage, breakage grade, breaking distance, trend statistics, rose diagram compilation, fault occurrence and a plane-section structure style of pot control breakage.
3. The shale gas multifactor zoning evaluation method based on the fuzzy matrix as claimed in claim 2, wherein in step 3, the sub-item parameters comprise sedimentary phases, thicknesses, depths, organic matter types, residual organic carbons, maturity, gas content, structural evolution history, mud shale hydrocarbon generation history and preservation conditions of the organic-rich shale.
4. The shale gas multi-factor district selection evaluation method based on the fuzzy matrix as claimed in claim 3, wherein in step 4, the specific step of obtaining the fuzzy matrix from the scoring matrix is: the scoring matrix is orthogonally rotated to obtain a main factor matrix subset, and the scoring matrix is transferred upwards to be a fuzzy matrix.
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