Shale gas reservoir brittleness earthquake prediction method and device

A technology for earthquake prediction and shale gas, applied in measuring devices, seismology, geophysical measurement, etc., can solve the problem of reducing the calculation accuracy of Young's modulus and Poisson's ratio, and the calculation accuracy cannot meet the fine characterization of reservoir rock brittleness Requirements, constraints on inversion accuracy, etc.

Active Publication Date: 2016-09-21
CHINA UNIV OF PETROLEUM (BEIJING)
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Problems solved by technology

However, there are cumulative errors in indirect calculations, which greatly reduce the calculation accuracy of Young's modulus and Poisson's ratio, and the inversion method based on the approximate formula of the Zoeppritz equation is effective in using the large offset seismic amplitude (large angle) information and the joint inversion of P- and S...

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  • Shale gas reservoir brittleness earthquake prediction method and device
  • Shale gas reservoir brittleness earthquake prediction method and device
  • Shale gas reservoir brittleness earthquake prediction method and device

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[0070] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0071] The inventor found through creative work that the current research on brittle seismic prediction methods for shale gas reservoirs based on pre-stack seismic data has the following problems:

[0072] (1) Traditional elastic parameters, such as P-wave velocity and S-wave velocity, cannot well characterize rock brittleness.

[0073] (2) There are cumulative errors in the Young's modulus and Poisson's ratio calculated indirectly through P-wave velocity, S-wave velocity and density.

[0074] (3) The most common structure of oil and gas reservoirs, especially shale ga...

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Abstract

The invention provides a shale gas reservoir brittleness earthquake prediction method and device. The method comprises the following steps: carrying out calculation by means of the generalized linear inversion thought, based on a Bayesian theory and by utilizing actual seismic data of a work area and a prior distribution function and a Zoeppritz equation of a plurality of elastic parameters, to obtain a disturbance quantity solution expression of the elastic parameters; carrying out calculation according to the solution expression and an initial model of the elastic parameters to obtain disturbance quantity value of the elastic parameters; carrying out calculation according to the disturbance quantity value and the initial model to obtain a current model of the elastic parameters; carrying out calculating based on the actual seismic data, the current model and the Zoeppritz equation of the plurality of elastic parameters to obtain seismic inversion residual error; and if the seismic inversion residual error is smaller than a set threshold value, serving the current model as the value of the elastic parameters, and carrying out calculation according to the value of the elastic parameters to obtain shale gas reservoir brittle index of the work area. The method and device can improve shale gas reservoir brittle index predication accuracy.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a shale gas reservoir brittle seismic prediction method and device. Background technique [0002] Shale gas is an important replacement resource in the world, and its exploration and development technology has become a research hotspot and difficulty. Brittleness is one of the important mechanical characteristics of rocks and a key parameter for the fracturing of shale gas reservoirs. According to the fracturing properties of shale gas reservoirs, favorable well locations or "sweet spot" locations can be determined. [0003] Usually, estimating rock brittleness by using brittle mineral content is the most intuitive and accurate, but it must be based on rock sample test data and well logging analysis, and local rock sample test results and single well analysis results cannot objectively reflect the brittleness distribution characteristics of surroun...

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Application Information

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IPC IPC(8): G01V1/50
CPCG01V1/50G01V2210/6169G01V2210/6242
Inventor 李景叶陈小宏周林王守东马继涛刘国昌
Owner CHINA UNIV OF PETROLEUM (BEIJING)
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