LAPSE:2019.0027
Published Article
LAPSE:2019.0027
Numerical Simulation of the Propagation of Hydraulic and Natural Fracture Using Dijkstra’s Algorithm
Yanfang Wu, Xiao Li
January 7, 2019
Utilization of hydraulic-fracturing technology is dramatically increasing in exploitation of natural gas extraction. However the prediction of the configuration of propagated hydraulic fracture is extremely challenging. This paper presents a numerical method of obtaining the configuration of the propagated hydraulic fracture into discrete natural fracture network system. The method is developed on the basis of weighted fracture which is derived in combination of Dijkstra’s algorithm energy theory and vector method. Numerical results along with experimental data demonstrated that proposed method is capable of predicting the propagated hydraulic fracture configuration reasonably with high computation efficiency. Sensitivity analysis reveals a number of interesting observation results: the shortest path weight value decreases with increasing of fracture density and length, and increases with increasing of the angle between fractures to the maximum principal stress direction. Our method is helpful for evaluating the complexity of the discrete fracture network, to obtain the extension direction of the fracture.
Keywords
Dijkstra’s algorithm, discrete fracture network, hydraulic fracture, hydraulic fracturing
Suggested Citation
Wu Y, Li X. Numerical Simulation of the Propagation of Hydraulic and Natural Fracture Using Dijkstra’s Algorithm. (2019). LAPSE:2019.0027
Author Affiliations
Wu Y: Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academic of Sciences, Beijing 100029, China
Li X: Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academic of Sciences, Beijing 100029, China
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Journal Name
Energies
Volume
9
Issue
7
Article Number
E519
Year
2016
Publication Date
2016-07-05
Published Version
ISSN
1996-1073
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PII: en9070519, Publication Type: Journal Article
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LAPSE:2019.0027
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doi:10.3390/en9070519
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Jan 7, 2019
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Calvin Tsay
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