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PP-PS joint inversion system based on Kalman filtering

A PP-PS and joint inversion technology, which is applied in the field of gas reservoir survey, can solve the problems of AVO inversion inconsistency and other problems, achieve reliable survey results, high precision, and solve the effect of low inversion precision

Inactive Publication Date: 2019-03-26
SOUTHWEST PETROLEUM UNIV +1
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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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  • PP-PS joint inversion system based on Kalman filtering
  • PP-PS joint inversion system based on Kalman filtering
  • PP-PS joint inversion system based on Kalman filtering

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Embodiment Construction

[0050] 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.

[0051] 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, and then observe the value d according to the formula 6-2 k Update the estimate, and finally update the erro...

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Abstract

The invention relates to a gas reservoir survey technology, and in particular relates to a PP-PS joint inversion system based on Kalman filtering. A Kalman filtering model is added to the subject of an AVO joint inversion model containing noise. The noise-containing AVO joint inversion model comprises a vector m used for surveying geological meaning attribute information, wherein the vector m comprises longitudinal wave velocity alpha, shear wave velocity beta and a density term rho. The Kalman filtering model comprises time update and measurement update. The optimally estimated vector m acquired through the time update and the measurement update is used to acquire the longitudinal wave velocity alpha, the shear wave velocity beta and the density term rho. The optimally estimated vector mis more accurate than a conventional vector m without the Kalman filtering model, and the survey result is more reliable. The problem of inaccurate density and shear wave velocity inversion caused byconventional AVO inversion based on longitudinal wave reflection data in the prior art is solved.

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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IPC IPC(8): G01V1/30
CPCG01V1/30
Inventor 唐静王彦飞杨扬李彪
Owner SOUTHWEST PETROLEUM UNIV
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