P
Pin Jia
Researcher at China University of Petroleum
Publications - 63
Citations - 929
Pin Jia is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Fracture (geology) & Geology. The author has an hindex of 16, co-authored 45 publications receiving 622 citations. Previous affiliations of Pin Jia include University of Calgary.
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Transient behavior of complex fracture networks
TL;DR: In this paper, a semi-analytical model for the transient behavior of complex fracture networks in which hydraulic and natural fractures can interconnect with arbitrary angles is presented. But the model is limited to the Barnett Shale, where the fractures within the network are represented explicitly rather than idealized as dual-porosity media with the matrix around them.
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A semi-analytical model for the flow behavior of naturally fractured formations with multi-scale fracture networks
TL;DR: In this article, a semi-analytical model for the flow behavior of naturally fractured formations with multi-scale fracture networks is presented, which dynamically couples an analytical dual-porosity model with a numerical discrete fracture model.
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A transient two-phase flow model for production prediction of tight gas wells with fracturing fluid-induced formation damage
Yonghui Wu,Yonghui Wu,Linsong Cheng,Liqiang Ma,Shijun Huang,Sidong Fang,Sidong Fang,John Killough,Pin Jia,Suran Wang,Suran Wang +10 more
TL;DR: In this article, a semi-analytical model for hydraulic fracturing in tight formation with the consideration of both fracturing fluid-induced formation damage (FFIFD) and two-phase flow is presented.
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A practical method for production data analysis from multistage fractured horizontal wells in shale gas reservoirs
TL;DR: In this paper, a comprehensive method for analysis of production data with variable rate for multistage fractured horizontal wells in shale gas reservoirs has been put forward, in which the nonlinearity of desorption and compressibility is considered.
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Integrated characterization of the fracture network in fractured shale gas Reservoirs—Stochastic fracture modeling, simulation and assisted history matching
Yonghui Wu,Yonghui Wu,Yonghui Wu,Linsong Cheng,John Killough,Shijun Huang,Sidong Fang,Sidong Fang,Pin Jia,Renyi Cao,Yongchao Xue +10 more
TL;DR: In this article, the authors presented an efficient method to characterize the complex fracture networks (CFNs) and reduce the uncertainties by integrating stochastic CFNs modeling, reservoir simulation, and assisted history matching.