CN104516015B - A kind of method for determining coal bed gas compressional wave and shear wave velocity - Google Patents
A kind of method for determining coal bed gas compressional wave and shear wave velocity Download PDFInfo
- Publication number
- CN104516015B CN104516015B CN201310449931.5A CN201310449931A CN104516015B CN 104516015 B CN104516015 B CN 104516015B CN 201310449931 A CN201310449931 A CN 201310449931A CN 104516015 B CN104516015 B CN 104516015B
- Authority
- CN
- China
- Prior art keywords
- velocity
- wave
- shear wave
- shear
- longitudinal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention belongs to exploration data processing procedure, is a kind of method for determining coal bed gas compressional wave and shear wave velocity.Shear wave velocity and velocity of longitudinal wave are obtained after processing seismic prospecting and log data, respectively velocity of longitudinal wave and shear wave velocity are processed, meansigma methodss are made to be respectively zero, group compressional wave and shear wave velocity are normalized, ask for compressional wave and shear wave velocity optimal mapping, iteration obtains optimal mapping functional value, returns and obtains functional relation, according to shear wave or velocity of longitudinal wave that functional relation obtains other wells or area.Instant invention overcomes traditional multiple regression procedure needs the defect for presupposing a functional relationship, the correlation coefficient of coal bed gas shear wave and velocity of longitudinal wave after returning, the shear wave or velocity of longitudinal wave that another mouthful of well or area can be calculated using the compressional wave and shear wave velocity relation that obtain can be effectively improved.
Description
Technical field
The present invention relates to geophysical exploration technology, belongs to exploration data processing procedure, it is that one kind utilizes optimal mapping side
The method that method determines coal bed gas compressional wave and shear wave velocity.
Background technology
With the development of energy industry, the exploration and development of coal bed gas is increasingly paid attention to, and this is just physical prospecting and logging technique
Propose new challenge.Because there is huge difference with conventional gas at the aspect such as generation and storage in coal bed gas so that be directed to
Many formula and research method of natural gas pool are no longer suitable in terms of the description and research of bed gas reservoir, and this just promotes people to adopt
Coal bed gas is studied with new method.
Research for bed gas reservoir gradually increased in recent years, when the empirical equation for being suitable for coal bed gas is found, Ren Menchang
Relation between the physical parameter obtained come statistical analysiss seismic prospecting and well logging using multiple regression procedure.Traditional polynary time
Return method to need first to assume a functional relationship, and for the compressional wave and shear wave to propagating in coal bed gas, its speed is subject to rock
The impact of physical property and gas saturation etc., relation are extremely complex, it is difficult to previously given this functional relationship, this frequently results in parameter
Return failure, it is impossible to accurately determine the relation of the compressional wave and shear wave velocity of coal bed gas, so as to be difficult to determine compressional wave and shear wave velocity.
Content of the invention
It is an object of the present invention to provide a kind of can obtain compressional wave and the relation after shear wave velocity optimal mapping, can be indulged
The relation of ripple and shear wave velocity and respective optimal mapping, while other wells or regional compressional wave or shear wave can be calculated according to the relation
The method that the utilization optimal mapping method of speed determines coal bed gas compressional wave and shear wave velocity.
The present invention is realized by following steps:
1)Collection seismic prospecting and log data, obtain shear wave velocity y and velocity of longitudinal wave x after process;
2)Their meansigma methodss are made to be respectively zero velocity of longitudinal wave x and shear wave velocity y process respectively according to the following formula:
In formula:L is a group number, and j is the group serial number of compressional wave and shear wave velocity x and y, xjAnd yjIt is compressional wave and shear wave respectively
Speed x and j-th element of y
3)According to the following formula L groups compressional wave and shear wave velocity are normalized:
In formula, L is a group number;J is the group serial number of compressional wave and shear wave velocity x and y;xjAnd yjIt is compressional wave and shear wave respectively
Speed x and j-th element of y;Max (x) is the maximum for asking for velocity of longitudinal wave x;Max (y) is the maximum for asking for shear wave velocity y
Value;
4)The initial value φ of compressional wave and shear wave velocity x and y optimal mapping is calculated as the following formula respectively0(x) and θ0(y):
In formula, L is the group number of compressional wave and shear wave velocity x and y;J is the group serial number of compressional wave and shear wave velocity x and y;xjWith
yjIt is j-th element of compressional wave and shear wave velocity x and y respectively.
5)The optimal mapping φ of compressional wave and shear wave velocity x and y is asked for according to the following formulak(x) and θk(y):
In formula, k is iterationses;S refers to and data is smoothed that smoothing method is using splines method or super smooth side
Method;xjAnd yjIt is j-th element of compressional wave and shear wave velocity x and y respectively;φk(xj) and θk(yj) it is kth time iteration respectively,
Compressional wave and shear wave velocity optimal mapping φk(x) and θkJ-th element of (y).
6)It is calculated as follows iteration error:
In formula:K is iterationses;
7)Repeat step 5)With 6), until adjacent iteration error twice meets following formula:
|e2[θk(yj),φk(xj)]-e2[θk-1(yj),φk-1(xj)]|≤δ (6)
In formula, k is iterationses;δ is error threshold value, and span is 0.001 to 0.01, most preferably 0.001;Work as phase
Adjacent iteration error twice meets formula(6)When, kth time iteration obtains the optimal mapping function that θ (y) is referred to as shear wave velocity y, obtains
φ (x) be referred to as velocity of longitudinal wave x optimal mapping function;φk(xj) and θk(yj) it is kth time iteration, compressional wave and shear wave speed respectively
Degree optimal mapping φk(x) and θkJ-th element of (y).
8)By step 7)Optimal mapping function # (y) for obtaining and the functional value of φ (x), are carried out using linear regression method
Return, obtain the functional relation of θ (y) and φ (x):
θ(y)=f(φ(x)) (7)
In formula, f be by linear regression obtain method to θ (y) and φ (x) functional relation, y and x be respectively shear wave speed
Degree y and the set of velocity of longitudinal wave;
9)According to functional relation θ (y), φ (x) and f, the shear wave or velocity of longitudinal wave in other wells or area is calculated.
Step 9)Calculating process be:First other wells or the velocity of longitudinal wave in area(Or shear wave velocity)Substitute into function to close
It is formula φ (x) (or θ (y)), obtain optimal mapping (or the optimal mapping of shear wave velocity of velocity of longitudinal wave), further according to formula(7)
Ask for optimal mapping (or the optimal mapping of velocity of longitudinal wave of shear wave velocity), finally according to functional relation θ (y) reverse shear wave speed
Degree (or according to functional relation φ (x) reverse velocity of longitudinal wave).
The present invention overcomes biography by optimal mapping homing method statistical analysiss coal bed gas shear wave and the relation of velocity of longitudinal wave
System multiple regression procedure needs the defect for presupposing a functional relationship.After this method can effectively improve recurrence, coal bed gas is horizontal
Ripple and the correlation coefficient of velocity of longitudinal wave, at the same can using the compressional wave that obtains and shear wave velocity relation, calculate another mouthful of well or
The shear wave or velocity of longitudinal wave in area.
Description of the drawings
Fig. 1 is the scatterplot of the shear wave velocity and velocity of longitudinal wave of experiment well of the present invention(Straight line represents the pass of Linear Quasi sum
System);
Fig. 2 is the scatterplot of experiment well shear wave velocity optimal mapping of the present invention and shear wave velocity;
Fig. 3 is the scatterplot of experiment well velocity of longitudinal wave optimal mapping of the present invention and velocity of longitudinal wave;
Fig. 4 is the scatterplot of experiment well shear wave velocity optimal mapping of the present invention and velocity of longitudinal wave optimal mapping(Straight line is represented
The relation of Linear Quasi sum);
Fig. 5 is the shear wave velocity that the relation obtained using experiment well of the present invention calculates another well of present invention experiment(Thick line)With
The shear wave velocity of actual measurement(Fine rule)Contrast;
Fig. 6 is the shear wave of the shear wave velocity and another well actual measurement that the relation obtained using experiment well of the present invention calculates another well
The percentage error of speed.
Specific embodiment
The present invention is first processed to all of geological data and log data, obtains shear wave velocity and velocity of longitudinal wave, right
These data carry out meansigma methodss for zero-sum normalized, expect that method asks for the optimal of different physical parameters using give-and-take conditions
Conversion, is carried out returning the relation for obtaining the two to the optimal mapping of shear wave and velocity of longitudinal wave using linear regression method, last profit
The shear wave or velocity of longitudinal wave of other wells or area are calculated with this relation for obtaining.
The specific embodiment of the present invention is as follows:
1)Collection seismic prospecting and log data, obtain L group shear wave velocity y and shear wave velocity x after process(As follows);
2)According to formula(1)It is zero process to carry out meansigma methodss to y and x;
3)According to formula(2)Y and x are normalized;
4)According to formula(3)The initial value φ of x and y optimal mapping is calculated respectively0(x) and θ0(y):
5)The optimal mapping φ of the x and y of kth time iteration is asked for according to formula (4)k(x) and θk(y);
6)According to formula(5)The error of adjacent iteration twice is calculated,
7)Repeat step 5)With 6), until adjacent iteration error twice meets formula(6), at this moment obtain shear wave velocity y's
Optimal mapping function # (y), and optimal mapping function phi (x) of velocity of longitudinal wave x
8)Optimal mapping function # (y) and the functional value of φ (x), returned using linear regression method, obtained θ (y)
Functional relation f with φ (x);
9)According to functional relation θ (y), φ (x) and f, the shear wave or velocity of longitudinal wave in other wells or area is calculated:
First other wells or the velocity of longitudinal wave in area(Or shear wave velocity)Substitution functional relation φ (x) (or θ (y)), obtain compressional wave
The optimal mapping (or optimal mapping of shear wave velocity) of speed, further according to formula(7)The optimal mapping for asking for shear wave velocity is (or vertical
The optimal mapping of wave velocity), finally according to functional relation θ (y) reverse shear wave velocity (or according to functional relation φ (x)
Reverse velocity of longitudinal wave).
The following is instantiation of the present invention:
1) prestack seismogram and well-logging is obtained, after process, obtains shear wave velocity y and shear wave velocity x;
Fig. 1 is the scatterplot of the shear wave velocity and velocity of longitudinal wave of experiment well of the present invention, present invention experiment embodiment the most.In figure
Straight line represents the relation of Linear Quasi sum, it can be seen that correlation coefficient is 0.889.
2) according to step(2)Step(3)Pretreatment is carried out to y and x, meansigma methodss is obtained for the shear wave after zero-sum normalization
And velocity of longitudinal wave;
3)According to step(4)Step(7)Try to achieve the optimal mapping of y and x;
Fig. 2 is the scatterplot of experiment well shear wave velocity optimal mapping of the present invention and shear wave velocity, and Fig. 3 is experiment well of the present invention
Velocity of longitudinal wave optimal mapping and the scatterplot of velocity of longitudinal wave, it can be seen that either shear wave velocity or the optimal change of velocity of longitudinal wave
Change all more complicated with the relation of its own, it is difficult to Linear Quasi and representing.
4)According to step(8)Respectively shear wave velocity optimal mapping θ (y) and velocity of longitudinal wave optimal mapping φ (x), using line
Property homing method is returned, and obtains the functional relation f of θ (y) and φ (x)
Fig. 4 is experiment well shear wave velocity optimal mapping of the present invention and the scatterplot after velocity of longitudinal wave optimal mapping, straight in figure
Line represents the relation of Linear Quasi sum(That is functional relation f), it can be seen that after horizontal, compressional wave optimal mapping, correlation coefficient increases
Plus, reach 0.974.
5)According to step 6 and 7)The compressional wave for obtaining and shear wave velocity optimal mapping function # (y) and φ (x), and step 8)
Functional relationship f for obtaining, calculates the shear wave or velocity of longitudinal wave in another mouthful of well or another area.
Fig. 5 is the relation according to experiment well shear wave velocity optimal mapping of the present invention and velocity of longitudinal wave optimal mapping, using this
Invent the shear wave velocity that another experiment well velocity o P wave is obtained(Thick line), and the shear wave velocity of experiment well of the present invention actual measurement
(Fine rule)Contrast.Fig. 6 is that the relation obtained using present invention experiment calculates another experiment well shear wave velocity of the invention and actual measurement
The percentage error of shear wave velocity.As can be seen that utilizing the horizontal stroke of another well of the relation calculating of experiment well of the present invention from contrast
The wave velocity shear wave velocity actual with the well is basically identical, and calculated shear wave velocity is exhausted with the percentage error of actual speed
Most of needs for being less than 5%, subsequent treatment and explanation being met.
Claims (2)
1. a kind of method for determining coal bed gas compressional wave and shear wave velocity, feature is through the following steps that realize:
1) collection seismic prospecting and log data, obtain velocity of longitudinal wave x and shear wave velocity y after process;
2) their meansigma methodss are made to be respectively zero respectively to velocity of longitudinal wave x and shear wave velocity y process according to the following formula:
In formula:L is a group number, and j is the group serial number of velocity of longitudinal wave x and shear wave velocity y, and xj and yj is velocity of longitudinal wave x and horizontal stroke respectively
J-th element of wave velocity y;
3) according to the following formula L group velocity of longitudinal wave x and shear wave velocity y are normalized:
In formula, L is a group number;J is the group serial number of velocity of longitudinal wave x and shear wave velocity y;Xj and yj are velocity of longitudinal wave x and horizontal stroke respectively
J-th element of wave velocity y;Max (x) is the maximum for asking for velocity of longitudinal wave x;Max (y) is the maximum for asking for shear wave velocity y
Value;
4) initial value φ 0 (x) and θ 0 (y) of velocity of longitudinal wave x and shear wave velocity y optimal mappings are calculated as the following formula respectively:
In formula, L is the group number of velocity of longitudinal wave x and shear wave velocity y;J is the group serial number of velocity of longitudinal wave x and shear wave velocity y;Xj and
Yj is j-th element of velocity of longitudinal wave x and shear wave velocity y respectively;
5) optimal mapping φ k (xj) and θ k (yj) of velocity of longitudinal wave x and shear wave velocity y are asked for according to the following formula:
In formula, k is iterationses;S refers to and data is smoothed that smoothing method is using splines method or super smoothing method;
Xj and yj are j-th element of velocity of longitudinal wave x and shear wave velocity y respectively;φ k (xj) and θ k (yj) are kth time iteration respectively, indulge
Wave velocity x and j-th element of shear wave velocity y optimal mappings φ k (x) and θ k (y);
6) iteration error is calculated as follows:
In formula:K is iterationses;
7) repeat step 5) and 6), until adjacent iteration error twice meets following formula:
|e2[θk(yj),φk(xj)]-e2[θk-1(yj),φk-1(xj)]|≤δ (6)
In formula, k is iterationses;δ is error threshold value, and span is 0.001 to 0.01;When adjacent iteration error twice is expired
When sufficient formula (6), kth time iteration obtains the optimal mapping function that θ (y) is referred to as shear wave velocity y, and the φ (x) for obtaining is referred to as compressional wave
The optimal mapping function of speed x;φkAnd θ (xj)k(yj) it is kth time iteration respectively, velocity of longitudinal wave x and shear wave velocity y most preferably becomes
Change φk(x) and θkJ-th element of (y);
8) by step 7) functional value of optimal mapping function # (y) that obtains and φ (x), returned using linear regression method,
Obtain the functional relation of θ (y) and φ (x):
θ (y)=f (φ (x)) (7)
In formula, f is the functional relation of θ (y) and the φ (x) obtained by linear regression method;
9) according to functional relation θ (y), φ (x) and f is calculated the velocity of longitudinal wave x or shear wave velocity in other wells or area
y.
2. method according to claim 1, feature is step 9) calculating process be:First the vertical of other wells or area
Wave velocity x or shear wave velocity y substitute into functional relation φ (x) or θ (y), obtain the optimal mapping or shear wave velocity of velocity of longitudinal wave x
The optimal mapping of y, asks for the optimal mapping of the optimal mapping or velocity of longitudinal wave x of shear wave velocity y, last root further according to formula (7)
According to functional relation θ (y) reverse shear wave velocity y or according to functional relation φ (x) reverse velocity of longitudinal wave x.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310449931.5A CN104516015B (en) | 2013-09-27 | 2013-09-27 | A kind of method for determining coal bed gas compressional wave and shear wave velocity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310449931.5A CN104516015B (en) | 2013-09-27 | 2013-09-27 | A kind of method for determining coal bed gas compressional wave and shear wave velocity |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104516015A CN104516015A (en) | 2015-04-15 |
CN104516015B true CN104516015B (en) | 2017-03-15 |
Family
ID=52791600
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310449931.5A Active CN104516015B (en) | 2013-09-27 | 2013-09-27 | A kind of method for determining coal bed gas compressional wave and shear wave velocity |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104516015B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105089632B (en) * | 2015-08-04 | 2017-03-15 | 中国海洋石油总公司 | A kind of HTHP reservoir CO2The acquisition methods of fluid compressional wave time difference matrix parameter |
CN106772599B (en) * | 2016-12-16 | 2019-04-09 | 中国石油天然气集团公司 | A kind of method and device calculating formation shear speed |
CN113466962B (en) * | 2021-07-06 | 2023-03-28 | 西安交通大学 | Transverse wave prediction method and system based on Gaussian process regression |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1987522A (en) * | 2005-12-22 | 2007-06-27 | 陈信平 | Method for directly detecting underground petroleum, natural gas and coal layer gas |
EP2506039A2 (en) * | 2011-03-28 | 2012-10-03 | Conocophillips Company | Methods for Seismic Fracture Parameter Estimation and Gas Filled Fracture Identification From Vertical Well Log Data |
CN102809761A (en) * | 2012-07-23 | 2012-12-05 | 中国科学院地质与地球物理研究所 | Control method for acquiring speed characteristics of coal rock |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6820010B1 (en) * | 2003-04-30 | 2004-11-16 | Conocophillips Company | Method for determining shear-wave velocity model for depth migration of mode-converted data |
-
2013
- 2013-09-27 CN CN201310449931.5A patent/CN104516015B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1987522A (en) * | 2005-12-22 | 2007-06-27 | 陈信平 | Method for directly detecting underground petroleum, natural gas and coal layer gas |
EP2506039A2 (en) * | 2011-03-28 | 2012-10-03 | Conocophillips Company | Methods for Seismic Fracture Parameter Estimation and Gas Filled Fracture Identification From Vertical Well Log Data |
CN102809761A (en) * | 2012-07-23 | 2012-12-05 | 中国科学院地质与地球物理研究所 | Control method for acquiring speed characteristics of coal rock |
Also Published As
Publication number | Publication date |
---|---|
CN104516015A (en) | 2015-04-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105891888B (en) | Multiple domain divides multiple dimensioned full waveform inversion method parallel | |
CN101251604B (en) | Method for analyzing and NMO correcting two parameters transformation wave speed | |
CN103207409B (en) | A kind of frequency domain full-waveform inversion seismic velocity modeling method | |
CN102353985B (en) | Pseudo-acoustic curve construction method based on nonsubsampled Contourlet transformation | |
CN105467451B (en) | Fractal inversion method based on total variation minimization constraint | |
CN104297785A (en) | Lithofacies constrained reservoir physical property parameter inversion method and device | |
CN102736107B (en) | Energy constraint heterogeneous reservoir thickness identification system | |
CN103163554A (en) | Self-adapting wave form retrieval method through utilization of zero offset vertical seismic profile (VSP) data to estimate speed and Q value | |
CN105386756B (en) | A method of brittle formation porosity is calculated using dependent variable | |
CN106353793A (en) | Cross-well seismic tomography inversion method on basis of travel time incremental bilinear interpolation ray tracing | |
CN104502997A (en) | Method for using fracture density curve to forecast fracture density body | |
CN105319585B (en) | A kind of method hidden using thin-layers interference amplitude recovery identification of hydrocarbon | |
CN102455438A (en) | Method for predicting volume of carbonate rock fractured cave type reservoir | |
CN104516015B (en) | A kind of method for determining coal bed gas compressional wave and shear wave velocity | |
CN102707313B (en) | Pseudo-sonic curve construction method based on pulse coupling neural network | |
CN103995972A (en) | Stratigraphic correlation method | |
CN105275459A (en) | A method for determining the mobile water volume content of shale formations | |
CN103790569B (en) | A kind of method that during VSP of utilization, Sonic Logging Data is corrected by deep relation | |
CN104834934B (en) | A kind of nucleome capture method for being used to identify reservoir fluid | |
CN104422953A (en) | Method for improving computational efficiency of earthquake pre-stack time migration | |
CN104008249B (en) | Dynamic contour model based surface nuclear magnetic resonance inversion method | |
CN111553067A (en) | Method and device for testing and explaining non-stop well testing of shale oil reservoir fracturing horizontal well | |
CN110569512B (en) | Quantitative characterization method for development degree of permeability interlayer in shale | |
CN113705878B (en) | Method and device for determining water yield of horizontal well, computer equipment and storage medium | |
CN104181090A (en) | Hydrocarbon saturation evaluation method based on rock electrical structure coefficient |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |