Shale gas reservoir fractured horizontal well yield prediction method based on random fractured model

A technology for shale gas reservoir and production prediction, which is applied in earth-moving drilling, wellbore/well components, and production fluids, etc. It can solve the problem of not being able to obtain the characteristic parameters of fractures one by one, ignoring the nature of natural fractures and differences in spatial distribution, influence Production forecast model accuracy and other issues

Active Publication Date: 2021-01-22
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

However, due to the large number of micro-scale natural fractures in shale reservoirs, it is impossible to obtain the characteristic parameters of each fracture one by one. Currently, the production prediction model of fractured horizontal wells in shale gas reservoirs generally adopts a dual continuum model. Fractures are regarded as an orthogonal fracture system with identical properties, and the shape and flow laws are simplified and characterized, ignoring the differences in the properties and spatial distribution of natural fractures, which in turn affects the accuracy of the production prediction model

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  • Shale gas reservoir fractured horizontal well yield prediction method based on random fractured model
  • Shale gas reservoir fractured horizontal well yield prediction method based on random fractured model
  • Shale gas reservoir fractured horizontal well yield prediction method based on random fractured model

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Embodiment

[0099] S1. Combining statistics, establish the probability distribution function of the main attribute parameters of natural fractures in shale reservoirs; the main attribute parameters of selected natural fractures are: fracture position, fracture direction, fracture length, and fracture density. The method of establishing the probability distribution function is as follows :

[0100] S11, setting the position center coordinates of each crack is expressed as O(x O ,y O ), using a uniformly distributed Poisson model to characterize the spatial distribution of fracture locations, the probability distribution function of fracture locations is obtained

[0101]

[0102] In the formula: U() is the uniform distribution function; x min ,y min , x max ,y max are the minimum and maximum values ​​in the x and y directions of the study area, respectively;

[0103] S12. The fracture trend is characterized by the azimuth angle of the fracture network, and the Fisher distribution ...

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Abstract

The invention discloses a shale gas reservoir fractured horizontal well yield prediction method based on a random fractured model, and belongs to the technical field of oil and gas reservoir development. A natural fractured model conforming to probability distribution and statistical rules is established based on a Monte Carlo random fracture algorithm. The defect that a traditional continuous medium model is difficult to describe natural fracture properties and spatial distribution differences is overcome, and real distribution characteristics and flow rules of natural fractures in a shale reservoir are effectively represented. According to the shale gas reservoir fractured horizontal well yield prediction method based on the random fractured model, a finite element method and a non-structural Delaunay triangular mesh are combined to establish a fully implicit numerical model, and accurate prediction of the yield of the complex fracture network fractured horizontal well in the shale gas reservoir is achieved.

Description

technical field [0001] The invention belongs to the technical field of oil and gas reservoir development, and in particular relates to a method for predicting the output of a fractured horizontal well in a shale gas reservoir based on a random fracture model. Background technique [0002] Natural fractures such as structural fractures, interlayer lamination fractures, and diagenetic contraction fractures are widely developed in shale reservoirs. Reasonable characterization of the properties and spatial distribution characteristics of natural fractures in shale reservoirs is helpful for the study of shale gas in reservoirs. The migration law in shale gas reservoirs is the key to accurately predict the production of fractured horizontal wells in shale gas reservoirs. However, due to the large number of micro-scale natural fractures in shale reservoirs, it is impossible to obtain the characteristic parameters of each fracture one by one. Currently, the production prediction mod...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B49/00E21B43/26G06F30/20G06Q50/02G06F17/10
CPCE21B43/26E21B49/00G06F17/10G06Q50/02G06F30/20
Inventor 张芮菡赵玉龙曾斌潘军张博宁
Owner SOUTHWEST PETROLEUM UNIV
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