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AVO approximate pre-stack inversion method based on variable containing sensitive lithology recognition factor

A technology for lithology identification and prestack inversion, applied in the field of petroleum exploration data processing, can solve problems such as poor effect and inability to completely remove gray matter, and achieve the effect of improving calculation accuracy

Inactive Publication Date: 2019-03-15
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

The post-stack attribute cannot completely remove the influence of gray matter, but only suppresses it; while the conventional inversion method is limited by the quality of seismic data, the effect is better in places with small gray matter components, and the effect is poor in places with large gray matter components. New gray matter removal methods need to be developed

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  • AVO approximate pre-stack inversion method based on variable containing sensitive lithology recognition factor
  • AVO approximate pre-stack inversion method based on variable containing sensitive lithology recognition factor
  • AVO approximate pre-stack inversion method based on variable containing sensitive lithology recognition factor

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Embodiment Construction

[0056] In order to make the above and other objects, features and advantages of the present invention more comprehensible, preferred embodiments are listed below and described in detail in conjunction with the accompanying drawings.

[0057] Such as figure 1 As shown, it is a schematic flow chart of the pre-stack inversion method based on the AVO approximation formula with the preferred sensitive lithology identification factor as a variable according to the present invention.

[0058] S1. Based on the actual work area, sandstone, limestone, and mudstone models were established for lithology sensitivity analysis (Table 1, figure 2 ), to obtain the sensitive lithology identification factor (F);

[0059] Table 1

[0060]

[0061] S2. Inversion data input, wherein the inversion data includes three angle gather seismic data of large, medium and small ( image 3 ), seismic interpretation horizon, logging data and seismic wavelet data ( Figure 6 );

[0062] S3. Calculate the...

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Abstract

The invention provides a method for obtaining a sensitive lithology identification factor based on inversion of pre-stack seismic data, which comprises the following steps of: establishing sandstone,limestone and mudstone models according to an actual working area for carrying out lithology sensitivity analysis to obtain a sensitive lithology identification factor, in order to reduce the error accumulation of indirect calculation of the factor, deriving an AVO approximate formula taking sensitive lithologic identification factor as a variable, deriving an elastic wave impedance formula expressed by the sensitive lithologic identification factor, a shear modulus and density by reference of an elastic impedance derivation principle, using a regularization algorithm to directly extract the sensitive lithologic identification factor, shear modulus and density data bodies from an actual elastic impedance data body through inversion for lithology prediction and fluid identification of a reservoir, the sensitive lithologic identification factor has better identification capability compared with a prior elastic parameter, and the calculation result is fast and the stability is strong.

Description

technical field [0001] The invention belongs to the technical field of petroleum exploration data processing, and relates to an AVO approximate pre-stack inversion method based on variables including sensitive lithology identification factors. Background technique [0002] Ostrander (1982) first proposed the AVO technology to identify "bright spot" type oil-gas sandstones by using the reflection coefficient as a function of the incident angle, making the pre-stack AVO technology the main research content of seismic exploration, and scholars at home and abroad have carried out a lot of research. First, under certain assumptions, some scholars proposed to use the combination of elastic petrophysical parameters to identify reservoirs. Goodway et al. (1999) proposed the LMR technology, which uses the product of Lamé constant and density to identify dominant reservoirs. On the premise of considering porous fluid-saturated rocks, Russell et al. (2003) summarized previous viewpoint...

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Application Information

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IPC IPC(8): G01V1/28
CPCG01V1/28
Inventor 商伟于正军孙淑艳魏红梅张建芝刘峰孙兴刚
Owner CHINA PETROLEUM & CHEM CORP
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