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A pp-ps joint inversion system based on kalman filter

A PP-PS and joint inversion technology, applied in the field of gas reservoir survey, can solve the problems of AVO inversion inconsistencies, etc., and achieve reliable and high-precision survey results

Inactive Publication Date: 2021-02-02
SOUTHWEST PETROLEUM UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to errors in seismic acquisition data and multi-solutions of subsurface media, AVO inversion is ill-posed

Method used

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  • A pp-ps joint inversion system based on kalman filter
  • A pp-ps joint inversion system based on kalman filter
  • A pp-ps joint inversion system based on kalman filter

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Embodiment Construction

[0048] The present invention will be further described in detail below in conjunction with test examples and specific embodiments. However, it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0049] Specific examples are as follows, such as figure 1 As shown, through the initial state parameters, that is, the seismic information d detected by existing instruments obs , into the state variable prediction in formula 5-1, and calculate the error covariance forward through 5-2, which is the time update 1 in the PP-PS joint inversion system based on Kalman filtering, and then update the error covariance by measuring update 2 , that is, first calculate the kalman gain, then update the estimate according to the observed value dk in formula 6-2, and finally update the error cova...

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Abstract

The invention relates to a gas reservoir survey technology, in particular to a PP-PS joint inversion system based on Kalman filtering. By taking the noise-containing AVO joint inversion model as the main body and adding the Kalman filter model, the noise-containing AVO joint inversion The inversion model includes a vector m for surveying geological meaning attribute information, the vector m includes the compressional wave velocity α, the shear wave velocity β, and the density item ρ, and the Kalman filter model includes time update and measurement update, through the time update and The measurement update obtains the vector m after the optimal estimation to obtain the longitudinal wave velocity α, the shear wave velocity β, and the density item ρ. The accuracy of m is higher, and the survey results are more reliable, which better solves the problem of low density and shear wave velocity inversion caused by conventional AVO inversion based on longitudinal wave reflection data in the prior art.

Description

technical field [0001] The invention relates to a gas reservoir survey technology, in particular to a PP-PS combined inversion system based on Kalman filtering. Background technique [0002] Seismic exploration targets have shifted from structural reservoirs to lithologic reservoirs, which requires us to obtain more reliable attribute information with clear geological meanings from seismic data. AVO inversion technology can directly extract elastic parameter information such as P-wave velocity, S-wave velocity and density from the variation of amplitude with offset to estimate the properties of underground rock and fluid. Due to the error of seismic acquisition data and multi-solution of subsurface medium, AVO inversion is ill-posed. Aiming at the ill-posed nature of the inversion, conventional solutions are as follows: 1. Since the inversion cannot obtain reliable results simply by using the P-wave reflection data, the lack of accurate shear-wave velocity and density infor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30
CPCG01V1/30
Inventor 唐静王彦飞杨扬李彪
Owner SOUTHWEST PETROLEUM UNIV