CN-122017947-A - Stratum brittleness earthquake prediction method and device, electronic equipment and storage medium

CN122017947ACN 122017947 ACN122017947 ACN 122017947ACN-122017947-A

Abstract

The embodiment of the application provides a stratum brittleness earthquake prediction method, a device, electronic equipment and a storage medium, wherein the method comprises the steps of carrying out elastic parameter inversion of logging constraint based on prestack earthquake data and logging data of a target area to obtain earthquake elasticity parameters of the target area, wherein the earthquake elasticity parameters comprise Young modulus E, poisson ratio v and La Mei Jishu lambda, substituting the earthquake elasticity parameters of the target area into a formula: The comprehensive brittleness index BI of the target area is obtained, wherein a and b are empirical coefficients. In the embodiment of the application, a new comprehensive brittleness index is constructed, and the comprehensive brittleness index has higher coincidence degree with the mineral brittleness index. In addition, the stratum brittleness earthquake evaluation method based on the comprehensive brittleness index combines the test and the well logging data analysis, obtains the elasticity parameter by utilizing the pre-stack inversion, calculates the spatial spread of the comprehensive brittleness index, and provides a foundation for the reliable prediction of the stratum brittleness index before drilling.

Inventors

ZHANG JINQIANG
LIU XIWU
HUO ZHIZHOU
LIU YUWEI
LIU JIONG
LIU LANFENG

Assignees

中国石油化工股份有限公司
中国石油化工股份有限公司石油勘探开发研究院

Dates

Publication Date: 20260512
Application Date: 20241112

Claims (11)

1. The stratum brittleness earthquake prediction method based on the comprehensive brittleness index is characterized by comprising the following steps: performing elastic parameter inversion of logging constraint based on pre-stack seismic data and logging data of a target area to obtain seismic elastic parameters of the target area, wherein the seismic elastic parameters comprise Young modulus E, poisson ratio v and Lap Mei Jishu lambda; substituting the seismic elasticity parameters of the target area into a formula: And obtaining the comprehensive brittleness index BI of the target area, wherein a and b are experience coefficients.
2. The method of claim 1, further comprising, prior to the performing a log-constrained elastic parameter inversion based on pre-stack seismic data and log data for the target region, obtaining seismic elastic parameters for the target region: Substituting the reference value of the seismic elasticity parameter and the initial values of the empirical coefficients a and b into a formula: Obtaining a reference value of a comprehensive brittleness index BI; The reference value of the integrated brittleness index BI is compared with the reference value of the mineral brittleness index to determine the experience coefficients a, b.
3. The method of claim 2, wherein the reference value of the seismic elasticity parameter and the initial values of the empirical coefficients a, b are substituted into the formula: before obtaining the reference value of the integrated brittleness index BI, the method further comprises: And obtaining the reference value of the seismic elasticity parameter and the reference value of the mineral brittleness index according to laboratory test data and/or logging data.
4. The method of claim 1, wherein the performing elastic parameter inversion of the logging constraints based on pre-stack seismic data and logging data for the target region to obtain the seismic elastic parameters for the target region comprises: Performing elastic parameter inversion of logging constraint based on pre-stack seismic data and logging data of a target area to obtain a data body of basic elastic parameters of the target area, wherein the basic elastic parameters comprise longitudinal wave speed, transverse wave speed and density; And calculating the seismic elasticity parameters of the target area according to the data body of the basic elasticity parameters of the target area.
5. A device for predicting the brittleness of a stratum based on a comprehensive brittleness index, comprising: the seismic elastic parameter determining module is used for carrying out elastic parameter inversion of logging constraint based on pre-stack seismic data and logging data of a target area to obtain seismic elastic parameters of the target area, wherein the seismic elastic parameters comprise Young modulus E, poisson ratio v and Lap Mei Jishu lambda; The comprehensive brittleness index determining module is used for substituting the seismic elasticity parameters of the target area into a formula: And obtaining the comprehensive brittleness index BI of the target area, wherein a and b are experience coefficients.
6. The apparatus of claim 5, further comprising an empirical factor determination module for: Substituting the reference value of the seismic elasticity parameter and the initial values of the empirical coefficients a and b into a formula: Obtaining a reference value of a comprehensive brittleness index BI; The reference value of the integrated brittleness index BI is compared with the reference value of the mineral brittleness index to determine the experience coefficients a, b.
7. The apparatus of claim 6, wherein the empirical factor determination module is further to: And obtaining the reference value of the seismic elasticity parameter and the reference value of the mineral brittleness index according to laboratory test data and/or logging data.
8. The device according to claim 5, wherein the seismic elasticity parameter determination module is specifically configured to: Performing elastic parameter inversion of logging constraint based on pre-stack seismic data and logging data of a target area to obtain a data body of basic elastic parameters of the target area, wherein the basic elastic parameters comprise longitudinal wave speed, transverse wave speed and density; And calculating the seismic elasticity parameters of the target area according to the data body of the basic elasticity parameters of the target area.
9. An electronic device, comprising: A processor; a memory; And a computer program, wherein the computer program is stored in the memory, which computer program, when executed by the processor, implements the method of any of claims 1-4.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method of any of claims 1-4.
11. A computer program product, characterized in that the computer program product comprises a computer program which, when executed by a processor, implements the method of any of claims 1-4.

Description

Stratum brittleness earthquake prediction method and device, electronic equipment and storage medium Technical Field The application relates to the technical field of oil and gas geophysics, in particular to a stratum brittleness earthquake prediction method, a device, electronic equipment and a storage medium. Background The unconventional oil and gas reservoir development needs to utilize a hydraulic fracturing technology, so that the single-well oil and gas yield is improved, and the economic benefit development of the oil and gas reservoir is realized. Therefore, the brittleness of the stratum needs to be evaluated by comprehensively utilizing geological, logging and seismic data before drilling. The friability index of rock is used by scholars at home and abroad to characterize the frawability of unconventional reservoirs, and the higher the friability index is, the more easily the rock is considered to be frac. Currently, unconventional reservoir brittleness index evaluations are based primarily on the Jarvie mineral experience brittleness index and the Rickman mechanical brittleness index, but both suffer from certain limitations. The difference of mineral contents in the rock is a main reason for causing the difference of the mechanical properties of the rock, by analyzing the influence of the mineral contents on the mechanical properties of the rock, the scholars at home and abroad establish various rock brittleness evaluation models based on the mineral contents, and the rock brittleness value is determined by calculating the proportion of brittle minerals. The mineral content of the rock and the mechanical property of the rock have a certain correlation, so that the rock brittleness evaluation method by the mineral components has strong practicability and is also commonly used as a benchmark evaluation method of other brittleness evaluation methods. But this method can only be applied under the composition conditions of formation cores or formation mineral components obtained by other technical means. Therefore, it is difficult to predict the brittleness index in the region only as a method for post-drilling evaluation. In addition to the method for evaluating the mineral brittleness based on the rock brittleness mineral content, the method for evaluating the stratum brittleness based on the rock elasticity parameter is applied to the earthquake prediction of the stratum brittleness. Young's modulus and Poisson's ratio are two very important parameters in rock mechanics, comprehensively reflecting properties of rock such as mineral composition, porosity, permeability and the like. Elastic parameters of the stratum are obtained through logging, earthquake and other means, and therefore the brittleness index of the rock is calculated. However, these definition of brittleness index is difficult to achieve better correlation with the index of mineral brittleness, and its application effect is doubtful. It should be noted that the information disclosed in the background section of the present application is only for enhancement of understanding of the general background of the present application and should not be taken as an admission or any form of suggestion that this information forms the prior art that is well known to a person skilled in the art. Disclosure of Invention In view of the above, the application provides a method, a device, an electronic device and a storage medium for predicting the brittleness of a stratum, which are beneficial to solving the problem of poor reliability of the method for evaluating the brittleness of the stratum based on the elasticity parameters of the earthquake in the prior art. In a first aspect, an embodiment of the present application provides a method for predicting a brittle earthquake of a stratum based on a comprehensive brittleness index, including: performing elastic parameter inversion of logging constraint based on pre-stack seismic data and logging data of a target area to obtain seismic elastic parameters of the target area, wherein the seismic elastic parameters comprise Young modulus E, poisson ratio v and Lap Mei Jishu lambda; substituting the seismic elasticity parameters of the target area into a formula: And obtaining the comprehensive brittleness index BI of the target area, wherein a and b are experience coefficients. In one possible implementation, before the elastic parameter inversion of the logging constraint based on the pre-stack seismic data and the logging data of the target area, obtaining the seismic elastic parameter of the target area further includes: Substituting the reference value of the seismic elasticity parameter and the initial values of the empirical coefficients a and b into a formula: Obtaining a reference value of a comprehensive brittleness index BI; The reference value of the integrated brittleness index BI is compared with the reference value of the mineral brittleness index to determine the experience coefficien