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Quantitative evaluation method of shale oil and gas enrichment index based on multi-factor nonlinear regression

A non-linear regression and enrichment index technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as the greater influence of human factors, to improve the level of quantification, improve the accuracy of spatial representation, good App Performance and Promoted Prospect Performance

Active Publication Date: 2018-02-02
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

However, in these methods, the quantitative evaluation standards of each influencing parameter need to be defined manually, and the weight assignment of different parameters is relatively random, which is greatly affected by human factors, and is still a semi-quantitative analysis.

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  • Quantitative evaluation method of shale oil and gas enrichment index based on multi-factor nonlinear regression
  • Quantitative evaluation method of shale oil and gas enrichment index based on multi-factor nonlinear regression
  • Quantitative evaluation method of shale oil and gas enrichment index based on multi-factor nonlinear regression

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Embodiment 1

[0036] Such as figure 1 as shown, figure 1 It is a flowchart of the quantitative evaluation method for shale oil and gas enrichment index based on multi-factor nonlinear regression of the present invention.

[0037] In step 101, multiple reservoir information is integrated to construct a quantitative evaluation index for shale reservoirs—the oil and gas enrichment index. According to the existing drilling results, the shale reservoirs are divided into enrichment and non-enrichment types, and correspondingly extract various reservoir information to establish a typical sample set. Among them, various reservoir information can be the porosity and permeability data measured by the core, the fracture density, fracture length and other parameters directly measured by imaging logging, or various conventional logging data. According to various reservoir information provided by typical samples, the regularity of classification is summarized, and the multivariate linear discriminant f...

Embodiment 2

[0046] Such as figure 1 as shown, figure 1 It is a flowchart of the quantitative evaluation method for shale oil and gas enrichment index based on multi-factor nonlinear regression of the present invention.

[0047] In step 101, multiple reservoir information is integrated to construct a quantitative evaluation index for shale reservoirs—the oil and gas enrichment index. According to the existing drilling results, the shale reservoirs are divided into enrichment and non-enrichment types, and correspondingly extract various reservoir information to establish a typical sample set. Among them, various reservoir information can be the porosity and permeability data measured by the core, the fracture density, fracture length and other parameters directly measured by imaging logging, or various conventional logging data. According to various reservoir information provided by typical samples, the regularity of classification is summarized, and the multivariate linear discriminant f...

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Abstract

The present invention provides a method for quantitative evaluation of shale oil and gas enrichment index based on multi-factor nonlinear regression. The method includes constructing a quantitative evaluation index of shale reservoirs, and performing quantitative analysis of single-dimensional geological factors; and comprehensive multi-dimensional geological parameters A nonlinear regression formula is established to quantitatively evaluate the enrichment area of ​​shale oil reservoirs. The quantitative evaluation method of shale oil and gas enrichment index based on multi-factor nonlinear regression combines various geological factors that affect the development of shale reservoirs, establishes a nonlinear shale reservoir characterization formula based on multidimensional geological parameters, and improves the geological Factors characterize the quantitative level of shale reservoirs, which can provide an important reference for the evaluation of shale reservoir enrichment areas in highly mature exploration areas.

Description

technical field [0001] The invention relates to the field of unconventional oil and gas geological exploration data processing methods, in particular to a quantitative evaluation method for shale oil and gas enrichment index based on multi-factor nonlinear regression. Background technique [0002] A large number of exploration practices have shown that the key to shale reservoir exploration is to find relatively enriched areas of oil and gas. The traditional source rock evaluation method based on geochemical analysis indicators is mainly applicable to the oil and gas prospect analysis in the initial stage of exploration. However, for highly mature exploration areas, this method has few sampling points, low accuracy, time-consuming and laborious, and cannot characterize the heterogeneity of shale reservoirs in spatial distribution in detail. Quantitative evaluation of shale reservoir enrichment areas No longer applicable. Therefore, it is necessary to study and establish a ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 张营革宋亮张云银谭明友王楠牟敏魏欣伟张鹏关昌田胡贤根
Owner CHINA PETROLEUM & CHEM CORP
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