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Shale gas productivity prediction method based on multi-scale fault development characteristics

A technology for productivity prediction and development characteristics, applied in earthwork drilling and production, wellbore/well components, etc.

Active Publication Date: 2022-02-18
SOUTHWEST PETROLEUM UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of improving the exploration and development of shale gas, and propose a shale gas productivity prediction method based on multi-scale fault development characteristics

Method used

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  • Shale gas productivity prediction method based on multi-scale fault development characteristics
  • Shale gas productivity prediction method based on multi-scale fault development characteristics
  • Shale gas productivity prediction method based on multi-scale fault development characteristics

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Embodiment Construction

[0029] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0030] Such as figure 1 As shown, the present invention provides a shale gas productivity prediction method based on multi-scale fault development characteristics, including the following steps:

[0031] S1: According to the fault development characteristics of the area to be measured, classify the faults in the area to be measured;

[0032] S2: Predict shale gas production capacity in the area to be tested according to fault classification.

[0033] In the embodiment of the present invention, in step S1, the specific method for classifying the faults in the area to be measured is as follows: taking the fault throw, azimuth, disconnection horizon, extension length, and dip angle of the fault plane as classification indicators, and classifying the faults in the area to be measured ;

[0034] Among them, the area to be measured with a fault distance gre...

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Abstract

The invention discloses a shale gas productivity prediction method based on multi-scale fault development characteristics, and the method comprises the following steps: S1, carrying out the fault classification of a to-be-detected region according to the fault development characteristics of the to-be-detected region; and S2, according to the fault classification, performing shale gas productivity prediction on the to-be-measured region. The method aims at research on shale gas storage conditions of a complex structure area, particularly, grading and classification research on fault displacement, fracture horizon, fracture period, fault dip angle and the like of a fault, and has important reference value for improving the exploration and development effect of the shale gas; and technical support and basis are provided for effective exploration and development of shale gas in the basin edge complex fracture development area.

Description

technical field [0001] The invention belongs to the technical field of shale gas development, and in particular relates to a shale gas productivity prediction method based on multi-scale fault development characteristics. Background technique [0002] Because the main shale gas production areas in my country are old, over-mature, structurally deformed, and have many stages, the preservation conditions of shale gas in different areas are quite different. On the one hand, the existing methods believe that folds and faults determine the deformation of rock mass and the development of natural fractures, thereby controlling the enrichment and production capacity of shale gas; It is an important factor affecting the preservation conditions of shale gas reservoirs; it is also believed that the grade and development degree of faults are the main reasons for the difference in shale gas enrichment, preservation and productivity. For complex structural areas with well-developed basin ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B49/00
CPCE21B49/00
Inventor 范存辉赵圣贤石学文吴建发陈丽清石详超万远飞
Owner SOUTHWEST PETROLEUM UNIV
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