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Method and system for interpreting shale reservoir fractureability based on statistical petrophysics

A technique for shale reservoirs, petrophysics, applied in the field of geophysical exploration

Inactive Publication Date: 2019-03-01
CHINA UNIV OF PETROLEUM (BEIJING)
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But the problem is that it is difficult to have a good indication of lithology like the mineral elasticity index, because different formations of different lithologies may show the same elastic parameters

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  • Method and system for interpreting shale reservoir fractureability based on statistical petrophysics
  • Method and system for interpreting shale reservoir fractureability based on statistical petrophysics

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[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] As used herein, "first", "second", ..., etc. do not refer to the meaning of sequence or order, nor are they used to limit the present invention. They are only used to distinguish elements or components described with the same technical terms. operate.

[0037] As used herein, "comprising", "comprising", "having", "comprising" and so on are all open terms, meaning including but not limited to.

[0038] As used herein, "and / or" includes any or all combin...

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Abstract

The present application provides a method and system for interpreting the shale reservoir fractureability based on statistical petrophysics. The method comprises subjecting the acquired logging data of each facies to kernel function non-parametric probability density estimation so as to generate two-dimensional probability density functions corresponding to preset seismic attribute combinations; by using a Bayesian classification criterion, performing self-classification screening on each of the seismic attribute combinations according to each of the two-dimensional probability density functions to generate an optimal seismic attribute combination; and performing seismic inversion on the acquired seismic data to generate an inversion profile corresponding to the optimal seismic attribute combination; and by using the Bayesian classification criterion, performing fractureability interpretation on the inversion profile corresponding to the optimal seismic attribute combination accordingto the two-dimensional probability density function corresponding to the optimal seismic attribute combination. The method has the beneficial effects of taking account of the respective advantages ofa mineral brittleness index and an elastic brittleness index, optimizing the evaluation criterion of shale fractureability and improving the accuracy of seismic fractureability quantitative seismic interpretation.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration, in particular to a statistical rock physics-based fracturing interpretation method and system for shale reservoirs. Background technique [0002] Shale brittleness is an important technical parameter to describe its fracturing characteristics. The brittleness characteristics can be described in various ways, which can be roughly divided into three categories: hardness and strength; brittle mineral mass percentage; elastic modulus. Rock hardness and strength information can provide a fine-grained brittleness description, but requires fine-grained experimental measurements. The information such as mass fraction and elastic modulus of brittle minerals can be obtained through well logging and seismic, so it is more suitable for seismic interpretation. The brittleness index (BIM) based on brittle mineral content was proposed by Jarvie et al. (2007) and Wang and Gale (2009). The britt...

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Application Information

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IPC IPC(8): G01V1/30
CPCG01V1/301G01V1/306G01V2210/624
Inventor 王林张峰李向阳
Owner CHINA UNIV OF PETROLEUM (BEIJING)
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