CN-121995484-A - Reservoir prediction method, device, equipment and storage medium

CN121995484ACN 121995484 ACN121995484 ACN 121995484ACN-121995484-A

Abstract

The application discloses a reservoir prediction method, a device, equipment and a storage medium, and belongs to the technical field of seismic exploration. According to the method provided by the application, first pre-stack inversion is carried out on the seismic data partially overlapped by the angle gathers, a target reflection coefficient body is obtained through the first pre-stack inversion, then a coal seam reflection coefficient body is extracted from the target reflection coefficient body, the target reflection coefficient body and the seismic wavelet are convolved to obtain coal seam seismic data, and then the coal seam seismic data is removed from the seismic data partially overlapped by the angle gathers, namely the coal seam is stripped, so that the coal seam removing seismic data is obtained. And performing second prestack inversion based on the coalbed removed seismic data to obtain a plurality of elastic parameters. When the method is used for obtaining the elastic parameters through inversion, the seismic data of the coal seam are adopted, and the shielding effect of the coal seam is removed, so that the elastic parameters can be accurately obtained, the gas-containing sandstone reservoir under the coal can be accurately identified, and the accuracy rate of reservoir prediction is improved.

Inventors

WANG BING
YI BEIBEI
GUO XIANG
LI FULEI
SHI NAN
Aikbaijiang Elken

Assignees

中国石油天然气集团有限公司
中国石油集团东方地球物理勘探有限责任公司

Dates

Publication Date: 20260508
Application Date: 20241108

Claims (10)

1. A method of reservoir prediction, the method comprising: acquiring first seismic data of a target work area, wherein the first seismic data are pre-stack common reflection point gather seismic data; Converting the first seismic data from an offset seismic section to an angle gather seismic section to obtain a plurality of second seismic data, wherein the plurality of second seismic data are data volumes partially overlapped by different angle gathers; respectively extracting seismic wavelets based on the plurality of second seismic data; performing prestack inversion based on the plurality of second seismic data and the corresponding seismic wavelets thereof to obtain target reflection coefficient bodies respectively corresponding to the plurality of second seismic data; Extracting a coal seam reflection coefficient body from the target reflection coefficient bodies for each target reflection coefficient body; performing convolution on the basis of the coal seam reflection coefficient body and the corresponding seismic wavelets to obtain coal seam seismic data; Removing the coal seam seismic data from the second seismic data to obtain coal seam removal seismic data; Performing prestack inversion based on the plurality of coalbed-removed seismic data to obtain a plurality of elastic parameters; reservoir prediction is performed based on the plurality of elastic parameters.
2. The method of claim 1, wherein said converting the first seismic data from an offset seismic profile to an angle gather seismic profile to obtain a plurality of second seismic data comprises: Dividing a plurality of angle intervals based on the maximum incidence angle, wherein overlapping exists between two adjacent angle intervals; And based on the plurality of angle intervals, performing partial angle superposition processing on the first seismic data to obtain the plurality of second seismic data.
3. The method of claim 1, wherein performing pre-stack inversion based on the plurality of second seismic data and corresponding seismic wavelets to obtain target reflection coefficient volumes respectively corresponding to the plurality of second seismic data comprises: Acquiring horizon data and logging data, wherein the logging data comprises logging sub-data of a plurality of logging parameters; performing data interpolation based on logging sub-data and horizon data of the logging parameters to obtain a plurality of data volumes; And performing prestack inversion based on the plurality of second seismic data and the corresponding seismic wavelets, the logging data and the plurality of data volumes to obtain a plurality of target reflection coefficient volumes.
4. A method according to claim 3, wherein said extracting a coal seam reflectance volume from said target reflectance volume comprises: acquiring drilling data; Extracting a reflection coefficient body of the main coal seam from the target reflection coefficient body based on the horizon data; Determining a first reflectance threshold and a second reflectance threshold based on the drilling data, the first reflectance threshold being greater than the second reflectance threshold; and extracting the coal seam reflection coefficient body from the reflection coefficient body of the main coal seam based on the first reflection coefficient threshold value and the second reflection coefficient threshold value.
5. A method according to claim 3, wherein performing pre-stack inversion based on the plurality of de-coalbed seismic data results in a plurality of elastic parameters, comprising: For each logging parameter, performing coalbed removal processing on logging sub-data of the logging parameter to obtain coalbed removal logging sub-data of the logging parameter; and performing prestack inversion on the coalbed-removed logging sub-data based on the logging parameters and the coalbed-removed seismic data to obtain a plurality of elastic parameters.
6. The method of claim 5, wherein the performing the coalbed-out process on the logging sub-data of the logging parameter to obtain the coalbed-out logging sub-data of the logging parameter comprises: carrying out normal distribution fitting on logging sub-data of the logging parameters; determining a distribution interval of the logging parameters based on a fitting result; And replacing the value of the coal seam in the logging sub-data by adopting any value in the distribution interval to obtain the coalseam-removed logging sub-data of the logging parameters.
7. A reservoir prediction apparatus, the apparatus comprising: The acquisition module is used for acquiring first seismic data of a target work area, wherein the first seismic data are pre-stack common reflection point gather seismic data; The conversion module is used for converting the first seismic data from the offset seismic section to the angle gather seismic section to obtain a plurality of second seismic data, wherein the plurality of second seismic data are data volumes partially overlapped by different angle gathers; The first extraction module is used for respectively extracting the seismic wavelets based on the plurality of second seismic data; The first inversion module is used for carrying out pre-stack inversion based on the plurality of second seismic data and the corresponding seismic wavelets thereof to obtain target reflection coefficient bodies respectively corresponding to the plurality of second seismic data; The second extraction module is used for extracting a coal seam reflection coefficient body from the target reflection coefficient bodies for each target reflection coefficient body; The convolution module is used for carrying out convolution on the basis of the coal seam reflection coefficient body and the corresponding seismic wavelets to obtain coal seam seismic data; the removing module is used for removing the coal seam seismic data from the second seismic data to obtain coal seam removed seismic data; The second inversion module is used for carrying out prestack inversion based on the plurality of coalbed removed seismic data to obtain a plurality of elastic parameters; and the prediction module is used for carrying out reservoir prediction based on the plurality of elastic parameters.
8. An electronic device comprising a processor and a memory, wherein the memory has stored therein at least one piece of program code that is loaded and executed by the processor to implement the reservoir prediction method of any of claims 1-6.
9. A computer readable storage medium having stored therein at least one program code, the at least one program code being loaded and executed by a processor to implement the reservoir prediction method of any of claims 1 to 6.
10. A computer program product, characterized in that it has stored therein at least one program code, which is loaded and executed by a processor to implement the reservoir prediction method according to any of claims 1 to 6.

Description

Reservoir prediction method, device, equipment and storage medium Technical Field The present application relates to the field of seismic exploration technologies, and in particular, to a method, an apparatus, a device, and a storage medium for reservoir prediction. Background The development of the dwarfism coal-based stratum in the vomit-hakun is extensive, and along with the continuous improvement of the exploration degree, the sandstone oil-gas reservoir of the dwarfism coal-based stratum has become an important field of oil-gas exploration. In the related art, when reservoir prediction is performed on gas-containing sandstone of a coal measure stratum, pre-stack inversion is performed on seismic data to obtain elastic parameters, and then reservoir prediction is performed according to the elastic parameters. However, the seismic data contains a large amount of coal seam reflection information, and the coal seam has a strong shielding effect on the reservoir, so that the elastic parameters obtained by directly utilizing the seismic data to perform pre-stack inversion are inaccurate, the distribution of the gas-containing sandstone is difficult to accurately identify, and the reservoir prediction accuracy is low. Disclosure of Invention The embodiment of the application provides a reservoir prediction method, a device, equipment and a storage medium, which can improve the accuracy of reservoir prediction. The technical scheme is as follows: in one aspect, a method of reservoir prediction is provided, the method comprising: acquiring first seismic data of a target work area, wherein the first seismic data are pre-stack common reflection point gather seismic data; Converting the first seismic data from an offset seismic section to an angle gather seismic section to obtain a plurality of second seismic data, wherein the plurality of second seismic data are data volumes partially overlapped by different angle gathers; respectively extracting seismic wavelets based on the plurality of second seismic data; performing prestack inversion based on the plurality of second seismic data and the corresponding seismic wavelets thereof to obtain target reflection coefficient bodies respectively corresponding to the plurality of second seismic data; Extracting a coal seam reflection coefficient body from the target reflection coefficient bodies for each target reflection coefficient body; performing convolution on the basis of the coal seam reflection coefficient body and the corresponding seismic wavelets to obtain coal seam seismic data; Removing the coal seam seismic data from the second seismic data to obtain coal seam removal seismic data; Performing prestack inversion based on the plurality of coalbed-removed seismic data to obtain a plurality of elastic parameters; reservoir prediction is performed based on the plurality of elastic parameters. In one possible implementation, the converting the first seismic data from an offset seismic section to an angle gather seismic section to obtain a plurality of second seismic data includes: Dividing a plurality of angle intervals based on the maximum incidence angle, wherein overlapping exists between two adjacent angle intervals; And based on the plurality of angle intervals, performing partial angle superposition processing on the first seismic data to obtain the plurality of second seismic data. In another possible implementation manner, the performing pre-stack inversion based on the plurality of second seismic data and the corresponding seismic wavelets to obtain target reflection coefficient volumes respectively corresponding to the plurality of second seismic data includes: Acquiring horizon data and logging data, wherein the logging data comprises logging sub-data of a plurality of logging parameters; performing data interpolation based on logging sub-data and horizon data of the logging parameters to obtain a plurality of data volumes; And performing prestack inversion based on the plurality of second seismic data and the corresponding seismic wavelets, the logging data and the plurality of data volumes to obtain a plurality of target reflection coefficient volumes. In another possible implementation manner, the extracting the coal seam reflection coefficient body from the target reflection coefficient body includes: acquiring drilling data; Extracting a reflection coefficient body of the main coal seam from the target reflection coefficient body based on the horizon data; Determining a first reflectance threshold and a second reflectance threshold based on the drilling data, the first reflectance threshold being greater than the second reflectance threshold; and extracting the coal seam reflection coefficient body from the reflection coefficient body of the main coal seam based on the first reflection coefficient threshold value and the second reflection coefficient threshold value. In another possible implementation manner, the performing pre-stack inversion bas