Microseismic data assisted tight oil and gas reservoir fracture distribution inversion method

A technology of oil and gas reservoirs and micro-seismic, applied in seismology, seismic signal processing, earthwork drilling and production, etc., to achieve the effect of improving accuracy

Active Publication Date: 2020-05-19
PEKING UNIV
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Problems solved by technology

[0004] In order to solve the inversion problem of fracture distribution in tight oil and gas reservoirs (here, inversion refers to using inverse problem modeling technology to deduce un

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  • Microseismic data assisted tight oil and gas reservoir fracture distribution inversion method
  • Microseismic data assisted tight oil and gas reservoir fracture distribution inversion method
  • Microseismic data assisted tight oil and gas reservoir fracture distribution inversion method

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Embodiment Construction

[0037] In the following, the present invention will be further explained through specific embodiments in conjunction with the drawings.

[0038] The microseismic data-assisted inversion method of tight oil and gas reservoir fracture distribution in this embodiment, such as Image 6 As shown, including the following steps:

[0039] 1) Obtain microseismic data:

[0040] The schematic diagram of the reservoir block with fracture distribution is as follows figure 1 As shown, the surface microseismic signal monitor and data interpretation system are used to obtain microseismic data indicating the location of tight oil and gas reservoir fractures, such as figure 2 Shown; the location of the crack is continuous, but from figure 2 It can be seen that the microseismic data is discrete. Although the location of the crack cannot be directly obtained from the microseismic data, the preliminary possibility of the location of the crack can be obtained;

[0041] 2) Obtain the initial statistical p...

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Abstract

The invention discloses a microseismic data assisted tight oil and gas reservoir fracture distribution inversion method. According to the method, Hough transform is adopted to transform microseismic data into Hough space, so that a Hough space function can be obtained, and an initial mean value of a Hough space random field can be formed; the sampling of crack distribution in a physical space is generated by adopting Hough inverse transformation; production prediction data corresponding to sampling of crack distribution in a physical space is predicted through numerical simulation; a correlation matrix of the Hough space random field and the production prediction data is obtained by adopting an algebraic statistical method; the posterior probability of the Hough space random field is maximized by using the correlation matrix and adopting a sample set-based iterative algorithm to form a crack distribution inversion method. According to the method, the precision of tight oil and gas reservoir fracture distribution inversion and development well production prediction can be improved.

Description

Technical field [0001] The invention relates to petroleum exploitation technology, in particular to a method for inversion of crack distribution in tight oil and gas reservoirs assisted by microseismic data. Background technique [0002] Due to the extremely low permeability of the reservoir, the economic development of tight oil and gas reservoirs generally requires horizontal drilling and multi-stage fracturing technology. Fractures formed by fracturing have high conductivity and can provide effective channels for oil and gas flow, which is the key to tight oil and gas reservoir development. Therefore, accurate inversion of tight oil and gas reservoir fracture distribution is the key to predicting oil and gas well production. [0003] In the prior art, the automatic history matching technology using oil and gas well production data is the main tool for inversion of oil and gas reservoir attributes. The automatic history matching technology is generally used to invert the permea...

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Application Information

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IPC IPC(8): G01V1/30E21B43/26
CPCE21B43/26G01V1/306G01V2210/624
Inventor 常海滨姚梦碧
Owner PEKING UNIV
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