CO 2 Storage Capacity for Multi-Well Pads Scheme in Depleted Shale Gas Reservoirs

Zhan Meng, Shenglai Yang, Lu Wang, Jie Zou, Yun Jiang, Chenggang Liang, Junru Wang and Ziyao Zhong
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Zhan Meng: Key Laboratory of Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China
Shenglai Yang: Key Laboratory of Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China
Lu Wang: Key Laboratory of Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China
Jie Zou: Department of Petroleum Engineering, Curtin University, Kensington, WA 6151, Australia
Yun Jiang: Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China
Chenggang Liang: Xinjiang Oilfield Branch, PetroChina, Changji Hui Autonomous Prefecture 831511, China
Junru Wang: Key Laboratory of Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China
Ziyao Zhong: Key Laboratory of Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China

Energies, 2017, vol. 10, issue 11, 1-31

Abstract: As a promising technology to improve shale gas (SG) recovery and CO 2 storage capacity, the multi-well pads (MWPs) scheme has gained more and more attention. The semi-analytical pressure-buildup method has been used to estimate CO 2 storage capacity. It focuses on single multi-fractured horizontal wells (SMFHWs) and does not consider multi-well pressure interference (MWPI) induced by the MWPs scheme. This severely limits the application of this method as incidences of multi-well pressure interference have been widely reported. This paper proposed a new methodology to optimize the injection strategy of the MWPs scheme and maximize CO 2 storage capacity. The new method implements numerical discretization, the superposition theory, Gauss elimination, and the Stehfest numerical algorithm to obtain pressure-buildup solutions for the MWPs scheme. The solution by the new method was validated with numerical simulation and pressure-buildup curves were generated to identify MWPI. Using the new method, we observed that the fracture number and fracture half-length have a positive influence on CO 2 storage capacity. Both can be approximately related to the CO 2 storage capacity by a linear correlation. For a given injection pressure, there is an optimal fracture number; the bigger the limited injection pressure, the smaller the optimal fracture number. Stress sensitivity has positive influences on CO 2 storage capacity, thus extending the injection period would improve CO 2 storage capacity. This work gains some insights into the CO 2 storage capacity of the MWPs scheme in depleted SG reservoirs, and provides considerable guidance on injection strategies to maximize CO 2 storage capacity in depleted SG reservoirs.

Keywords: depleted shale reservoir; multi-well pad production scheme; multi-well pressure interference; CO 2 storage; sensitivity analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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