Production prediction method of fracturing horizontal well in shale gas reservoir based on stochastic fracture model
A technology for shale gas reservoirs and fracture models, which is used in earth-moving drilling, wellbore/well components, instruments, etc. It can solve the problem of ignoring the nature and spatial distribution of natural fractures, affecting the accuracy of production prediction models, and inability to one by one. Obtaining fracture characteristic parameters and other issues to achieve the effect of accurate production prediction
Active Publication Date: 2021-08-31
SOUTHWEST PETROLEUM UNIV
View PDF9 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
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
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
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 ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a shale gas reservoir fracturing horizontal well production prediction method based on a random fracture model, which belongs to the technical field of oil and gas reservoir development. The invention is based on a Monte Carlo random fracture algorithm and establishes a method that conforms to probability distribution and statistical laws The natural fracture model makes up for the defect that the traditional continuum model is difficult to describe the nature and spatial distribution of natural fractures, and effectively characterizes the real distribution characteristics and flow laws of natural fractures in shale reservoirs; the present invention combines finite element method and The fully implicit numerical model established by the unstructured Delaunay triangular mesh has realized the accurate prediction of the production rate of the fractured horizontal well in the complex fracture network in the shale gas reservoir.
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...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(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