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Method and system for improving logging shear wave velocity prediction precision

A technology of shear wave velocity and prediction accuracy, which is applied in seismology, measuring devices, geophysical measurement and other directions for well logging records, can solve the problems of low accuracy and application limitations, and achieve the effect of improving prediction accuracy

Pending Publication Date: 2021-03-26
CHINA PETROLEUM & CHEM CORP +1
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the difficult problems existing in the above-mentioned prior art, and provide a method for improving the prediction accuracy of well logging shear wave velocity, aiming at the problems of low precision in the conventional well logging shear wave velocity prediction, and the shortcomings such as limited application, will be applied to The rock equivalent pore structure parameters that affect the rock velocity are introduced into the logging shear wave velocity to improve the prediction accuracy of the logging shear wave velocity

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  • Method and system for improving logging shear wave velocity prediction precision
  • Method and system for improving logging shear wave velocity prediction precision
  • Method and system for improving logging shear wave velocity prediction precision

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Embodiment 1

[0075] This embodiment is an implementation example in which the present invention is used for inversion of rock pore structure parameters using actual logging data in a certain area. The specific steps are as follows:

[0076] (1) Input the logging data of characteristic wells, including logging curves such as porosity, shale content, and pore structure. Regression relationship between statistical pore structure curve and porosity and shale content, α s =0.0488544+0.0200858*φ-0.105152*log 10 Vsh.

[0077] (2) Input the logging curve of the well to be predicted in the work area, including P-wave velocity, density, porosity, shale content, water saturation, and the given fluctuation range a is 5%, and the well to be predicted is calculated by using the above regression relationship The calculated value L of the pore structure parameters, so as to determine the linear scanning range of the pore structure parameters, namely: [(1-a) L, (1+a) L].

[0078] (3) Taking the minimum ...

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Abstract

The invention provides a method and a system for improving logging shear wave velocity prediction precision, and belongs to the technical field of petrophysics and geophysical logging. The method comprises the steps that the regression relation between pore structure parameters of characteristic wells in a work area and the porosity and the shale content is counted, and the transverse wave speed of a to-be-predicted well in the work area is predicted through the regression relation, wherein the characteristic well is a well logging with transverse wave well logging information in the work area, and the to-be-predicted well is a well logging without transverse wave well logging information in the work area, namely a well logging needing to predict the transverse wave speed. According to themethod, rock pore structure parameters are introduced into logging shear wave velocity prediction, so that the logging shear wave velocity prediction precision is improved.

Description

technical field [0001] The invention belongs to the technical field of rock physics and geophysical well logging, and in particular relates to a method and system for improving the prediction accuracy of well logging shear wave velocity. Background technique [0002] In pre-stack seismic inversion and pre-stack seismic attribute analysis, it is necessary to obtain accurate P-wave and S-wave velocity logging curves. However, there is often a lack of S-wave velocity curves in actual logging data, which hinders the acquisition of P-wave and S-wave velocities based on seismic data. Reservoir prediction has brought some difficulties. Many geophysicists have proposed theoretical model formulas and empirical formulas. For example, Han (1986), Klimentors (1991), Greenberg (1992), Castagna (1993), and Goldberg (1998) provided empirical formulas between rock velocity, porosity, and other rock parameters, and their application effects depend on statistical samples. , affected by the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30G01V1/40
CPCG01V1/303G01V1/40G01V2210/6222
Inventor 白俊雨
Owner CHINA PETROLEUM & CHEM CORP
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