Numerical simulation and prediction studies on horizontal well performances in gas reservoir are foundation for optimizing horizontal well completion process. To gain more understanding on this theory, a steady-state reservoir model coupling with wellbore is developed in the fractured gas reservoirs with bottom-water and different fracture intensities to predict the horizontal well performances. Based on the equivalent flow assumption, the fractured porous medium is transformed into anisotropic porous medium so that the gas reservoir flow model can be developed as a new model that incorporates formation permeability heterogeneity, reservoir anisotropy, and gas reservoir damage. The wellbore flow model which considers pressure drops in the tubing is applied. We compare this paper model solutions for inflow profile along the well to the numerical solutions obtained from a commercial simulator (ECLIPSE 2011), and the result shows a very good agreement. Moreover, sensitive analysis, in terms of various linear densities of fractures, matrix permeability, fracture width, and wellbore pressure drop, is implemented. The results show that the new model developed in this study can obtain a more practical representation to simulate the horizontal wells performance in fractured gas reservoir with different fracture intensities and bottom-water, thus can be used to optimize the parameters in horizontal well completion of fractured gas reservoirs with different fracture intensities and bottom-water.
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October 2018
Research-Article
A Semi-Analytical Model for Predicting Horizontal Well Performances in Fractured Gas Reservoirs With Bottom-Water and Different Fracture Intensities
Yongsheng Tan,
Yongsheng Tan
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Search for other works by this author on:
Haitao Li,
Haitao Li
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Search for other works by this author on:
Xiang Zhou,
Xiang Zhou
Petroleum Systems Engineering,
Faculty of Engineering and Applied Science,
University of Regina,
Saskatchewan S4S 0A2, Canada
Faculty of Engineering and Applied Science,
University of Regina,
Saskatchewan S4S 0A2, Canada
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Beibei Jiang,
Beibei Jiang
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
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Yongqing Wang,
Yongqing Wang
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Search for other works by this author on:
Nan Zhang
Nan Zhang
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Search for other works by this author on:
Yongsheng Tan
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Haitao Li
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Xiang Zhou
Petroleum Systems Engineering,
Faculty of Engineering and Applied Science,
University of Regina,
Saskatchewan S4S 0A2, Canada
Faculty of Engineering and Applied Science,
University of Regina,
Saskatchewan S4S 0A2, Canada
Beibei Jiang
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Yongqing Wang
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Nan Zhang
State Key Laboratory of Oil and Gas Reservoir
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
Geology and Exploitation,
Southwest Petroleum University,
Chengdu 610500, China
1Corresponding authors.
Contributed by the Petroleum Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received June 3, 2017; final manuscript received May 3, 2018; published online May 29, 2018. Assoc. Editor: Ray (Zhenhua) Rui.
J. Energy Resour. Technol. Oct 2018, 140(10): 102905 (11 pages)
Published Online: May 29, 2018
Article history
Received:
June 3, 2017
Revised:
May 3, 2018
Citation
Tan, Y., Li, H., Zhou, X., Jiang, B., Wang, Y., and Zhang, N. (May 29, 2018). "A Semi-Analytical Model for Predicting Horizontal Well Performances in Fractured Gas Reservoirs With Bottom-Water and Different Fracture Intensities." ASME. J. Energy Resour. Technol. October 2018; 140(10): 102905. https://doi.org/10.1115/1.4040201
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