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Fractured shale gas reservoir performance parameter prediction method and system

A prediction method and shale reservoir technology, which are applied in the field of shale gas reservoir exploration, can solve the problems of low efficiency, high prediction cost, and low effective stress prediction accuracy.

Pending Publication Date: 2021-08-27
CENT SOUTH UNIV +1
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AI Technical Summary

Problems solved by technology

The effective stress estimation process in conventional methods is indirect, the accuracy of effective stress prediction is controlled by the calculation accuracy of vertical stress and pore pressure, and many unknown parameters need to be calculated based on logging data or core data, resulting in low accuracy of effective stress prediction , high forecast cost and low efficiency

Method used

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  • Fractured shale gas reservoir performance parameter prediction method and system
  • Fractured shale gas reservoir performance parameter prediction method and system
  • Fractured shale gas reservoir performance parameter prediction method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0074] Embodiment 1 of the present invention provides a fractured shale reservoir performance parameter prediction system, the system comprising:

[0075] The first calculation module is used to obtain the Fourier coefficient data body based on the azimuth gather data and in combination with Fourier series decomposition;

[0076] The second calculation module is used to obtain a low-frequency model of isotropic parameters based on well logging data;

[0077] The third calculation module is used to obtain an anisotropic parameter low-frequency model based on well logging data;

[0078] The first inversion module is used to obtain effective stress sensitive parameters based on Bayesian inversion by using Fourier coefficient data volume, low-frequency model of isotropic parameters and angular seismic wavelet;

[0079] The second inversion module is used to obtain fracture weakness parameters based on Bayesian inversion by using Fourier coefficient data volume, anisotropic parame...

Embodiment 2

[0124] Such as figure 1 As shown, in Example 2, a set of methods for estimating effective stress-sensitive parameters and fracture parameters using azimuthal seismic data is proposed, specifically:

[0125] (1) According to equations (34) and (35), the Fourier coefficient data volume (a 0 (θ), a 2 (θ) and b 2 (θ));

[0126] (2) According to equation (37), using the zero-order Fourier coefficient (a 0 (θ)), angle subwave and four unknown isotropic parameters (K f , σ e , μ φ and ρ) low-frequency models, the inversion results of effective stress sensitive parameters are obtained based on Bayesian inversion, and the vertical effective stress is obtained by calculating the relationship between the effective stress sensitive parameters obtained from well logging data and the vertical effective stress;

[0127] (3) According to equation (40), using the second-order Fourier coefficient (a 2 (θ) and b 2 (θ)), the angle subwave and two unknown anisotropy parameters (δ N and δ...

Embodiment 3

[0229] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium includes instructions for executing a method for predicting performance parameters of fractured shale gas reservoirs, the method comprising:

[0230] Based on the azimuth gather data, combined with Fourier series decomposition, the Fourier coefficient data volume is obtained;

[0231] Based on the logging data, a low-frequency model with isotropic parameters is obtained;

[0232] Based on the logging data, a low-frequency model of anisotropic parameters is obtained;

[0233] Using Fourier coefficient data volume, isotropic parameter low-frequency model and angular seismic wavelet, based on Bayesian inversion, the effective stress sensitive parameters are obtained;

[0234] Using Fourier coefficient data volume, anisotropic parameter low-frequency model and angular seismic wavelet, based on Bayesian inversion, fracture wea...

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Abstract

The invention provides a fractured shale gas reservoir performance parameter prediction method and system, and belongs to the technical field of shale gas reservoir exploration, and the method comprises the steps of obtaining a Fourier coefficient data volume based on azimuth gather data in combination with Fourier series decomposition; based on the logging data, obtaining an isotropic parameter low-frequency model and an anisotropic parameter low-frequency model; obtaining effective stress sensitive parameters based on Bayesian inversion by using the Fourier coefficient data volume, the isotropic parameter low-frequency model and the angle seismic wavelet; and utilizing the Fourier coefficient data volume, the anisotropy parameter low-frequency model and the angle seismic wavelet to obtain a fracture weakness parameter based on Bayesian inversion. According to the invention, reasonable effective stress sensitive parameters and fracture weakness prediction results can be generated, and the abnormal pressure and fracture development characteristics of the fractured shale gas reservoir can be identified.

Description

technical field [0001] The invention relates to the technical field of shale gas reservoir exploration, in particular to a method and system for predicting performance parameters of fractured shale gas reservoirs. Background technique [0002] Natural fractures and induced fractures play a crucial role in accurately obtaining fluid flow characteristics during hydraulic fracturing of reservoirs. The research on hydraulic fracturing mainly focuses on natural fractured reservoirs (tight gas sand, shale gas, etc.), and the "sweet spots" of these fractured reservoirs are related to effective stress and fracture properties. Therefore, understanding the effective stress and fracture properties is crucial for optimal production of fractured shale gas reservoirs. [0003] Effective stress prediction is important to optimize hydraulic fracturing favorable areas, thereby improving the safety of drilling and production. Effective stress is related to vertical stress and pore pressure....

Claims

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Application Information

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IPC IPC(8): G06F17/14G06Q10/06G06Q50/02
CPCG06F17/14G06Q10/0639G06Q50/02
Inventor 潘新朋李林张广智葛子建柳建新
Owner CENT SOUTH UNIV
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