AVO inversion method and system based on Bayesian and series inversion theories

A Bayesian theory and series inversion technology, applied in the field of AVO inversion methods and systems based on Bayesian and series inversion theory, can solve the problems of time-consuming and large amount of calculation, and achieve high noise immunity performance, high efficiency, high industrial practical value and the effect of promotion and application prospects

Active Publication Date: 2020-12-29
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

With the advancement of computer level, many nonlinear methods have been developed in recent years, but due to the nonlinear characteristics of the algorithm itself, the calculation amount is very large and time-consuming

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  • AVO inversion method and system based on Bayesian and series inversion theories
  • AVO inversion method and system based on Bayesian and series inversion theories
  • AVO inversion method and system based on Bayesian and series inversion theories

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Embodiment Construction

[0088] The present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0089] figure 1 A flowchart showing the steps of the AVO inversion method based on Bayesian and series inversion theory according to the present invention.

[0090] In this embodiment, the AVO inversion method based on Bayesian and series inversion theory according to the present invention may include: Step 101, according to the Zoeppritz equation and Gassmann theory, obtain the high-order AVO expression of the fluid term based on the incident angle approximation formula; Step 102, a...

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Abstract

The invention discloses an AVO inversion method and system based on Bayesian and series inversion theories. The method can comprise the steps that according to a Zoeppritz equation and a Gassmann theory, a fluid item high-order AVO expression based on incidence angle approximation is obtained; according to a series theory, parameters of the fluid item high-order AVO expression are calculated, anda fluid item high-order AVO formula is obtained; according to a Bayesian theory, an inversion objective function is obtained; and according to the fluid item high-order AVO formula and the inversion objective function, a prestack longitudinal wave high-order AVO inversion formula is constructed. According to the AVO inversion method and system based on the Bayesian and series inversion theories, based on the Zoeppritz equation and the Gassmann theory, the prestack longitudinal wave high-order AVO inversion formula is constructed by combining the Bayesian theory and the series inversion theory,actual work area reservoir fluid recognition with high precision, high stability, high noise immunity and high efficiency can be achieved, and the method and system have extremely high industrial practical value and application and popularization prospects.

Description

technical field [0001] The invention relates to the technical field of oil reservoir geophysics, and more specifically, relates to an AVO inversion method and system based on Bayesian and series inversion theories. Background technique [0002] The subsurface reservoir pore fluid identification technology based on seismic data has become one of the key technologies for reservoir description at the present stage. On the premise of ensuring the quality of seismic data, the fluid indicator factor is an important parameter to determine the accuracy of reservoir fluid identification. The definition of the fluid indicator factor originates from the reflection coefficient domain and is generally expressed in the form of intercept and gradient. With the advancement of reservoir fluid identification technology, the definition of fluid indicator factors has been developed from the reflection coefficient domain to the impedance domain. At this stage, the Lame parameter attribute has ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/624
Inventor 时磊刘俊州韩磊王震宇温立峰薛明喜
Owner CHINA PETROLEUM & CHEM CORP
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