A method and apparatus for constructing oil and gas sensitivity parameters

Abstract

The application discloses a method and device for constructing oil and gas sensitive parameters, and the method comprises the following steps: transforming phase decomposition data and frequency decomposition data of post-stack seismic of a well side track according to a transformation model; calculating sensitive values corresponding to each transformed phase decomposition data and each transformed frequency decomposition data according to a sensitivity evaluation model; determining a phase sensitive parameter corresponding to a maximum phase sensitive value and a frequency sensitive parameter corresponding to a maximum frequency sensitive value; and constructing oil and gas sensitive parameters according to the phase sensitive parameter and the frequency sensitive parameter.

Description

Technical Field

[0001] This article relates to the field of exploration geophysical technology, and in particular to a method and device for constructing oil and gas sensitive parameters. Background Art

[0002] As exploration progresses, oil and gas reservoir targets become more complex and hidden, making the discovery of favorable reservoirs increasingly difficult, increasing exploration costs and drilling risks. Reservoir sensitive parameters, such as the already constructed Ramé impedance, Gassmann fluid term, and Poisson impedance, are crucial for quantitative analysis in commercial value assessment, reserve submission, well location optimization, and remaining gas reservoir characterization. Consequently, the construction of sensitive parameters has become a crucial component of the new era of oil and gas reservoir exploration and development, and a research topic of intense interest in both academia and industry. Conventional methods for constructing oil and gas sensitive parameters, both domestically and internationally, primarily extract common elastic properties and conduct rock physics crosstalk analysis, selecting elastic parameters that can distinguish oil and gas reservoirs from non-oil and gas reservoirs as oil and gas sensitive parameters. Existing solutions require extensive manual effort to perform pairwise crosstalk analysis on these common elastic parameters. However, the number of elastic properties, broadly defined, can reach hundreds, and the selection of which elastic properties to crosstalk relies entirely on expert experience. As exploration objects become more complex, it is becoming increasingly difficult to select sensitive parameters through this manual screening method, and we even face the dilemma of not being able to select sensitive parameters.

[0003] Therefore, it is particularly urgent to realize an efficient and high-precision solution for constructing oil and gas sensitive parameters. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a method and device for constructing oil and gas sensitive parameters to overcome the problems that the existing oil and gas sensitive parameter construction technology relies heavily on expert experience and the manual extraction of elastic properties is time-consuming. By constructing phase and frequency data and adopting the preferred method of automatic transformation plus sensitivity evaluation ranking to construct oil and gas sensitive parameters, it provides strong technical support for the comprehensive evaluation of gas fields and well deployment.

[0005] In a first aspect, the present application provides a method for constructing oil and gas sensitive parameters, the method comprising:

[0006] The phase decomposition data and frequency decomposition data of the well-side channel post-stack seismic are transformed respectively according to the transformation model;

[0007] According to the sensitivity evaluation model, the sensitivity values ​​corresponding to each transformed phase decomposition data and each transformed frequency decomposition data are calculated respectively;

[0008] Determining a phase sensitivity parameter corresponding to a maximum phase sensitivity value and a frequency sensitivity parameter corresponding to a maximum frequency sensitivity value;

[0009] An oil and gas sensitive parameter is constructed according to the phase sensitive parameter and the frequency sensitive parameter.

[0010] In an exemplary embodiment, before transforming the wellside trace post-stack seismic phase and frequency decomposition data according to the transformation model, the method further includes:

[0011] Acquire wellside post-stack seismic data;

[0012] The post-stack seismic data is subjected to phase and frequency decomposition to obtain phase decomposition data and frequency decomposition data.

[0013] In an exemplary embodiment, the transformation model is:

[0014]

[0015] in, P x 、P y Represent two data to be transformed, represents the mean of any two data to be transformed, Indicates the transformation angle.

[0016] In an exemplary embodiment, the sensitivity evaluation model is:

[0017]

[0018] In the above model, O i Indicates the value of the oil and gas layer sample in the well bypass, B i Indicates the value of the non-oil and gas layer sample of the well bypass, i=1, 2, ...N, where N represents the number of well bypass samples involved in the evaluation.

[0019] In an exemplary embodiment, the process of determining the number N of well bypass samples participating in the evaluation is as follows:

[0020] The number of samples from the oil and gas interval is compared with the number of samples from the non-oil and gas interval using the sample formula;

[0021] Determine the number of relatively small samples as the number of well bypass samples involved in the evaluation;

[0022] The sample formula is:

[0023]

[0024] In the above formula, N o Indicates the number of oil and gas layer samples, N b Indicates the number of non-oil and gas layer samples.

[0025] In an exemplary embodiment,

[0026] The process of determining the phase sensitivity parameter corresponding to the maximum phase sensitivity value is:

[0027] Sort the sensitivity values ​​corresponding to the transformed phase decomposition data to determine the highest sensitivity value;

[0028] The relevant parameters of the transformed phase decomposition data corresponding to the highest sensitivity value are used as phase sensitivity parameters.

[0029] In an exemplary embodiment, the phase sensitive parameters are: the final phase, the rotation angle, and the data mean.

[0030] In an exemplary embodiment, the process of determining the frequency sensitivity parameter corresponding to the maximum frequency sensitivity value is as follows:

[0031] Sort the sensitivity values ​​of the transformed frequency decomposition data to determine the highest sensitivity value;

[0032] The relevant parameters of the transformed frequency decomposition data corresponding to the highest sensitivity value are used as frequency sensitivity parameters.

[0033] In an exemplary embodiment, the frequency sensitive parameters are: the final frequency, the rotation angle, and the data mean.

[0034] In an exemplary embodiment, constructing the oil and gas sensitive parameter according to the phase sensitive parameter and the frequency sensitive parameter includes:

[0035] performing normalization processing on the phase sensitive parameter and the frequency sensitive parameter respectively;

[0036] The oil and gas sensitive parameters are obtained by using the constructed formula for the normalized phase sensitive parameters and frequency sensitive parameters;

[0037] Wherein, the construction formula is:

[0038] F(ψ, f) = G(X(ψ)) × G(Y(f))

[0039] In the above construction formula, X(ψ) represents the phase sensitive parameter; Y(f) represents the frequency sensitive parameter; and G(g) represents the normalization function.

[0040] In a second aspect, an embodiment of the present invention further provides a device for constructing oil and gas sensitive parameters, the device comprising: a memory and a processor; the memory is used to store a program for constructing oil and gas sensitive parameters, and the processor is used to read and execute the program for constructing oil and gas sensitive parameters, and execute any one of the methods described in the above embodiments.

[0041] In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a data processing program is stored, and the data processing program is used by a processor to execute the method described in any one of the above embodiments.

[0042] Compared to related technologies, the present application provides a method and apparatus for constructing oil and gas sensitive parameters, the method comprising: transforming the phase decomposition data and frequency decomposition data of wellside post-stack seismic data according to a transformation model; calculating the sensitivity values ​​corresponding to each transformed phase decomposition data and each transformed frequency decomposition data according to a sensitivity evaluation model; determining the phase sensitivity parameter corresponding to the maximum phase sensitivity value and the frequency sensitivity parameter corresponding to the maximum frequency sensitivity value; and constructing oil and gas sensitive parameters based on the phase sensitivity parameters and the frequency sensitivity parameters. The present application transforms the phase decomposition data and the frequency decomposition data through a transformation model, determines the phase sensitivity parameters and the frequency sensitivity parameters according to the sensitivity evaluation model, and ultimately constructs the oil and gas sensitive parameters, effectively resolving the problem that existing oil and gas sensitive parameter construction technologies rely heavily on expert experience and are time-consuming to manually extract elastic properties.

[0043] Other features and advantages of the present application will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present application. Other advantages of the present application can be realized and obtained through the solutions described in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide an understanding of the technical solution of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present application and do not constitute a limitation on the technical solution of the present application.

[0045] Figure 1 This is a flow chart of a method for constructing oil and gas sensitive parameters according to an embodiment of the present application;

[0046] Figure 2 A schematic diagram of a device for constructing oil and gas sensitive parameters according to an embodiment of the present application;

[0047] Figure 3 Schematic diagram of the well-connected profile effect of oil and gas sensitive parameters in some exemplary embodiments. DETAILED DESCRIPTION

[0048] This application describes multiple embodiments, but this description is exemplary rather than restrictive, and it will be apparent to those skilled in the art that there may be more embodiments and implementations within the scope of the embodiments described herein. Although many possible feature combinations are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with any other feature or element in any other embodiment, or may replace any other feature or element in any other embodiment.

[0049] This application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The embodiments, features, and elements disclosed in this application may also be combined with any conventional features or elements to form a unique inventive solution defined by the claims. Any features or elements of any embodiment may also be combined with features or elements from other inventive solutions to form another unique inventive solution defined by the claims. Therefore, it should be understood that any feature shown and / or discussed in this application may be implemented individually or in any appropriate combination. Therefore, except for the limitations made according to the appended claims and their equivalents, the embodiments are not subject to other limitations. In addition, various modifications and changes may be made within the scope of protection of the appended claims.

[0050] In addition, when describing representative embodiments, the specification may have presented the method and / or process as a specific sequence of steps. However, to the extent that the method or process does not rely on the specific order of the steps described herein, the method or process should not be limited to the steps in the specific order described. As will be understood by those skilled in the art, other orders of steps are also possible. Therefore, the specific order of the steps set forth in the specification should not be interpreted as a limitation to the claims. In addition, the claims for the method and / or process should not be limited to performing their steps in the order written, and those skilled in the art can readily understand that these orders can be changed and still remain within the spirit and scope of the embodiments of the present application.

[0051] The embodiment of the present invention provides a method for constructing oil and gas sensitive parameters, such as Figure 1 As shown, the method includes steps S100-S130:

[0052] S100: transforming the phase decomposition data and frequency decomposition data of the well-side track post-stack seismic data according to the transformation model;

[0053] S110: Calculating sensitivity values ​​corresponding to each transformed phase decomposition data and each transformed frequency decomposition data according to the sensitivity evaluation model;

[0054] S120: Determine a phase sensitivity parameter corresponding to the maximum phase sensitivity value and a frequency sensitivity parameter corresponding to the maximum frequency sensitivity value;

[0055] S130: Constructing oil and gas sensitive parameters according to the phase sensitive parameters and the frequency sensitive parameters.

[0056] In an exemplary embodiment, post-stack seismic data of a well bypass track is obtained; and phase and frequency decomposition of the post-stack seismic data is performed to obtain phase decomposition data and frequency decomposition data. Specifically, the process includes:

[0057] First, perform phase decomposition on the well bypass of post-stack seismic data:

[0058] According to the phase range of post-stack seismic data [ψ1, ψ p ", determine the phase ψ that needs to be decomposed i , i = 1, 2, ..., p; the phase decomposition data corresponding to each phase is obtained by using conventional phase iterative decomposition technology.

[0059] Second, perform frequency decomposition on the wellside channel of post-stack seismic data:

[0060] According to the main frequency range of post-stack seismic data [f1, f q ], determine the frequency f that needs to be decomposed j , j = 1, 2, ..., q; the frequency decomposition data corresponding to each frequency is obtained by using the conventional least square constrained spectrum decomposition technology.

[0061] In an exemplary embodiment, the phase decomposition data and the frequency decomposition data of the well bypass post-stack seismic are transformed according to a transformation model; the transformation model is:

[0062]

[0063] in, P x 、P y Respectively represent two data to be transformed, Represents the mean of any two data to be transformed, Indicates the transformation angle.

[0064] In an exemplary embodiment, the sensitivity evaluation model is:

[0065]

[0066] In the above model, O i represents the value of the oil and gas layer sample in the well bypass, dimensionless; B iIt represents the value of the non-oil and gas layer sample of the well bypass, dimensionless; i = 1, 2, ... N, where N represents the number of well bypass samples involved in the evaluation.

[0067] In an exemplary embodiment, the process for determining the number N of well bypass samples involved in the evaluation is as follows:

[0068] Compare the number of samples from oil and gas intervals with the number of samples from non-oil and gas intervals;

[0069] The smaller number of the two numbers is determined according to the sample formula as the number of well bypass samples participating in the evaluation, wherein the sample formula is:

[0070]

[0071] In the above formula, N o Indicates the number of oil and gas layer samples, N b Indicates the number of non-oil and gas layer samples.

[0072] In an exemplary embodiment, the process of respectively calculating the sensitivity value corresponding to each transformed phase decomposition data and each transformed frequency decomposition data according to the sensitivity evaluation model is as follows:

[0073] Substitute the transformed phase decomposition data into the sensitivity evaluation model to obtain the corresponding phase data sensitivity value;

[0074] Substitute the transformed frequency decomposition data into the sensitivity evaluation model to obtain the corresponding frequency decomposition data sensitivity value;

[0075] In one exemplary embodiment, the process for determining the phase sensitivity parameter corresponding to the maximum phase sensitivity value is as follows: sorting the sensitivity values ​​corresponding to the transformed phase decomposition data to determine the highest sensitivity value; and using the relevant parameter of the transformed phase decomposition data corresponding to the highest sensitivity value as the phase sensitivity parameter. In this embodiment, while selecting the phase decomposition data with the highest sensitivity value as the phase sensitivity parameter, the formation process of the phase sensitivity parameter is recorded, including the final phase, rotation angle, and data mean.

[0076] In one exemplary embodiment, the process for determining the frequency-sensitive parameter corresponding to the maximum frequency-sensitive value is as follows: sorting the sensitivity values ​​of the transformed frequency-decomposed data to determine the highest sensitivity value; and using the parameter associated with the transformed frequency-decomposed data corresponding to the highest sensitivity value as the frequency-sensitive parameter. In this embodiment, while selecting the frequency-sensitive parameter as the frequency-sensitive parameter, the frequency-decomposed data with the highest sensitivity value is recorded, including the final frequency, rotation angle, and data mean.

[0077] In an exemplary embodiment, the process of constructing the oil and gas sensitive parameter according to the phase sensitive parameter and the frequency sensitive parameter is as follows:

[0078] performing normalization processing on the phase sensitive parameter and the frequency sensitive parameter respectively;

[0079] The oil and gas sensitive parameters are obtained by using the constructed formula for the normalized phase sensitive parameters and frequency sensitive parameters;

[0080] Wherein, the construction formula is:

[0081] F(ψ, f) = G(X(ψ)) × G(Y(f))

[0082] Where: X(ψ) represents the phase sensitive parameter; Y(f) represents the frequency sensitive parameter; G(g) represents the normalization function.

[0083] The oil and gas sensitivity parameters of the post-stack seismic data volume are constructed based on the process parameters of the final oil and gas sensitivity parameters of the post-stack well bypass. Specifically, the entire post-stack seismic data is constructed into oil and gas sensitivity parameters, including:

[0084] The first step is to perform phase decomposition and frequency decomposition on the post-stack seismic data volume;

[0085] The second step is to transform the phase decomposition data volume and the frequency decomposition data volume according to the transformation model;

[0086] The third step is to construct oil and gas sensitive parameters for the transformed phase decomposition data volume and frequency decomposition data volume according to the formation process of sensitive parameters determined by the well bypass seismic data.

[0087] This application transforms phase decomposition data and frequency decomposition data through a transformation model, determines phase sensitive parameters and frequency sensitive parameters based on a sensitivity evaluation model, and finally constructs oil and gas sensitive parameters, effectively solving the problem that existing oil and gas sensitive parameter construction technology heavily relies on expert experience and time-consuming manual extraction of elastic properties.

[0088] The embodiment of the present invention provides a device for constructing oil and gas sensitive parameters, such as Figure 2 As shown, the device includes: a memory 200 and a processor 210; the memory is used to store a program for constructing oil and gas sensitive parameters, and the processor is used to read and execute the program for constructing oil and gas sensitive parameters, and execute any one of the methods in the above embodiments.

[0089] An embodiment of the present invention further provides a computer-readable storage medium having a data processing program stored thereon. The data processing program is used by a processor to execute the method for constructing oil and gas sensitive parameters according to any one of the above embodiments.

[0090] Example 1

[0091] This example implements a method for constructing oil and gas sensitive parameters. The process is as follows:

[0092] Step 1: perform phase decomposition on the well-side trace of post-stack seismic data;

[0093] Step 2, frequency decomposition of the post-stack seismic data wellside channel;

[0094] Step 3, constructing a transformation model;

[0095] Step 4: transform the phase decomposition data and the frequency decomposition data according to the transformation model;

[0096] Step 5, establish a sensitivity evaluation model;

[0097] Step 6: Calculate the sensitivity value corresponding to each transformed phase decomposition data and each transformed frequency decomposition data according to the sensitivity evaluation model;

[0098] Step 7: Select the data with the highest sensitivity value in the well bypass phase decomposition data as the phase sensitivity parameter.

[0099] The phase decomposition data with the highest sensitivity value is taken as the phase sensitive parameter, and the formation process of the phase sensitive parameter is recorded, including the final phase, rotation angle, and data mean.

[0100] Step 8: Select the data with the highest sensitivity value in the well bypass frequency decomposition data as the frequency sensitivity parameter.

[0101] The frequency decomposition data with the highest sensitivity value is taken as the frequency sensitive parameter, and the formation process of the frequency sensitive parameter is recorded, including the final frequency, rotation angle, and data mean.

[0102] Step 9: Using the phase sensitivity parameter and the frequency sensitivity parameter to jointly construct the final oil and gas sensitivity parameter;

[0103] Step 10: Based on the oil and gas sensitivity parameter construction process, oil and gas sensitivity parameters are constructed for the entire post-stack seismic data to obtain oil and gas sensitivity parameters.

[0104] Using the oil and gas sensitivity parameters constructed in the above process, a well-connected profile is selected, such as Figure 3 As shown in the figure, high- and low-yield wells and wells without oil or gas exhibit different values ​​in the oil and gas sensitivity parameter profile. The oil and gas sensitivity parameter is more sensitive to high-yield wells, showing high sensitivity parameter values, while wells without oil or gas have lower sensitivity values, and low-yield wells have values ​​between the two. This shows that the constructed oil and gas sensitivity parameter can accurately identify favorable oil and gas reservoirs.

[0105] The method for constructing oil and gas sensitive parameters provided in an embodiment of the present invention overcomes the problems that existing oil and gas sensitive parameter construction technologies heavily rely on expert experience and time-consuming manual extraction of elastic properties. By constructing phase and frequency data and adopting automatic transformation plus sensitivity evaluation ranking to optimize and construct oil and gas sensitive parameters, a method and device for constructing oil and gas sensitive parameters have been developed, providing strong technical support for comprehensive gas field evaluation and well site deployment.

[0106] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As is well known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable, and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those skilled in the art that communication media generally embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

Claims

1. A method for constructing oil and gas sensitive parameters, characterized in that: The method comprises: The phase decomposition data and frequency decomposition data of the well-side channel post-stack seismic are transformed respectively according to the transformation model; According to the sensitivity evaluation model, the sensitivity values ​​corresponding to each transformed phase decomposition data and each transformed frequency decomposition data are calculated respectively; Determining a phase sensitivity parameter corresponding to a maximum phase sensitivity value and a frequency sensitivity parameter corresponding to a maximum frequency sensitivity value; Constructing oil and gas sensitive parameters according to the phase sensitive parameters and the frequency sensitive parameters; The transformation model is: in, P x 、P y Represent two data to be transformed, represents the mean of any two data to be transformed, Indicates the transformation angle; The sensitivity evaluation model is: In the above model, O i Indicates the value of the oil and gas layer sample in the well bypass, B i Represents the value of the non-oil and gas layer sample of the well bypass, i=1,2,…N, N represents the number of well bypass samples involved in the evaluation.

2. The method for constructing oil and gas sensitive parameters according to claim 1, characterized in that: Before transforming the phase decomposition data and the frequency decomposition data of the well bypass track post-stack seismic data according to the transformation model, the method further includes: Acquire wellside post-stack seismic data; The post-stack seismic data is subjected to phase and frequency decomposition to obtain phase decomposition data and frequency decomposition data.

3. The method for constructing oil and gas sensitive parameters according to claim 1, characterized in that: The process of determining the number N of well bypass samples involved in the evaluation is as follows: The number of samples from the oil and gas interval is compared with the number of samples from the non-oil and gas interval using the sample formula; Determine the number of relatively small samples as the number of well bypass samples involved in the evaluation; The sample formula is: In the above formula, N o Indicates the number of oil and gas layer samples, N b Indicates the number of non-oil and gas layer samples.

4. The method for constructing oil and gas sensitive parameters according to claim 1, characterized in that: The process of determining the phase sensitivity parameter corresponding to the maximum phase sensitivity value is: Sort the sensitivity values ​​corresponding to the transformed phase decomposition data to determine the highest sensitivity value; The relevant parameters of the transformed phase decomposition data corresponding to the highest sensitivity value are used as phase sensitivity parameters.

5. The method for constructing oil and gas sensitive parameters according to claim 4, characterized in that: The phase sensitive parameters are: the final phase, rotation angle, and data mean.

6. The method for constructing oil and gas sensitive parameters according to claim 1, characterized in that: The process of determining the frequency sensitivity parameter corresponding to the maximum frequency sensitivity value is: Sort the sensitivity values ​​of the transformed frequency decomposition data to determine the highest sensitivity value; The relevant parameters of the transformed frequency decomposition data corresponding to the highest sensitivity value are used as frequency sensitivity parameters.

7. The method for constructing oil and gas sensitive parameters according to claim 6, characterized in that: The frequency sensitive parameters are: the final frequency, rotation angle, and data mean.

8. The method for constructing oil and gas sensitive parameters according to claim 1, characterized in that: The step of constructing the oil and gas sensitive parameter according to the phase sensitive parameter and the frequency sensitive parameter includes: performing normalization processing on the phase sensitive parameter and the frequency sensitive parameter respectively; The oil and gas sensitive parameters are obtained by using the constructed formula for the normalized phase sensitive parameters and frequency sensitive parameters; Wherein, the construction formula is: F(ψ,f)=G(X(ψ))×G(Y(f)) In the above construction formula, X(ψ) represents the phase sensitive parameter; Y(f) represents the frequency sensitive parameter; and G() represents the normalization function.

9. A device for constructing oil and gas sensitive parameters, characterized in that: The device includes: a memory and a processor; the memory is used to store a program for constructing oil and gas sensitive parameters, and the processor is used to read and execute the program for constructing oil and gas sensitive parameters, and execute the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a data processing program stored thereon, wherein a processor executes the method for constructing oil and gas sensitive parameters according to any one of claims 1 to 8.

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