A Comprehensive Model for Real Gas Transport in Shale Formations with Complex Non-planar Fracture Networks.
A complex fracture network is generally generated during the hydraulic fracturing treatment in shale gas reservoirs. Numerous efforts have been made to model the flow behavior of such fracture networks. However, it is still challenging to predict the impacts of various gas transport mechanisms on well performance with arbitrary fracture geometry in a computationally efficient manner. We develop a robust and comprehensive model for real gas transport in shales with complex non-planar fracture network. Contributions of gas transport mechanisms and fracture complexity to well productivity and rate transient behavior are systematically analyzed. The major findings are: simple planar fracture can overestimate gas production than non-planar fracture due to less fracture interference. A "hump" that occurs in the transition period and formation linear flow with a slope less than 1/2 can infer the appearance of natural fractures. The sharpness of the "hump" can indicate the complexity and irregularity of the fracture networks. Gas flow mechanisms can extend the transition flow period. The gas desorption could make the "hump" more profound. The Knudsen diffusion and slippage effect play a dominant role in the later production time. Maximizing the fracture complexity through generating large connected networks is an effective way to increase shale gas production.
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, P.R. China.
Ruiyue
R
Yang
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, P.R. China.
Zhongwei
Z
Huang
Department of Petroleum Engineering, Texas A&M University, Collage Station, TX, 77843, USA.
Wei
W
Yu
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, P.R. China.
Gensheng
G
Li
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, P.R. China.
Wenxi
W
Ren
Department of Petroleum Engineering, Texas A&M University, Collage Station, TX, 77843, USA.
Lihua
L
Zuo
Department of Petroleum Engineering, Texas A&M University, Collage Station, TX, 77843, USA.
Xiaosi
X
Tan
Department of Petroleum and Geosystems Engineering, University of Texas at Austin, Austin, TX, 78712, USA.
Kamy
K
Sepehrnoori
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, P.R. China.
Shouceng
S
Tian
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, P.R. China.
Mao
M
Sheng