Optimal design of hydraulic fracturing in porous media using the phase field fracture model coupled with genetic algorithm

被引：31

作者：

Lee, Sanghyun ^{[1
]}

Min, Baehyun ^{[2
]}

Wheeler, Mary F. ^{[3
]}

机构：

[1] Florida State Univ, Dept Math, 208 Love Bldg 1017 Acad Way, Tallahassee, FL 32306 USA

[2] Ewha Womans Univ, Div Sustainable Syst Engn, Dept Climate & Energy Syst Engn, Ewhayeodae Gil 52, Seoul 03760, South Korea

[3] Univ Texas Austin, Inst Computat Engn & Sci, Ctr Subsurface Modeling, 201 East 24th St, Austin, TX 78712 USA

来源：

COMPUTATIONAL GEOSCIENCES | 2018年 / 22卷 / 03期

基金：

新加坡国家研究基金会;

关键词：

Hydraulic fracturing; Phase field; Genetic algorithm; Production maximization; History matching; SEQUENTIAL-METHODS; FIXED-STRESS; SET METHOD; FLOW; CONVERGENCE; PROPAGATION; APPROXIMATION; STABILITY; RESERVOIR;

D O I：

10.1007/s10596-018-9728-6

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We present a framework for the coupling of fluid-filled fracture propagation and a genetic inverse algorithm for optimizing hydraulic fracturing scenarios in porous media. Fracture propagations are described by employing a phase field approach, which treats fracture surfaces as diffusive zones rather than of interfaces. Performance of the coupled approach is provided with applications to numerical experiments related to maximizing production or reservoir history matching for emphasizing the capability of the framework.

引用

页码：833 / 849

页数：17

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