Hybrid Coupled Multifracture and Multicontinuum Models for Shale Gas Simulation by Use of Semi-Analytical Approach

Maojun Cao, Yu Dai, Ling Zhao, Yuele Jia and Yueru Jia
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Maojun Cao: School of Computer & Information Technology, Northeast Petroleum University, Daqing 163318, China
Yu Dai: PetroChina Southwest Oil & Gasfield Company, Chengdu 610500, China
Ling Zhao: School of Computer & Information Technology, Northeast Petroleum University, Daqing 163318, China
Yuele Jia: Computer Science School, Southwest Petroleum University, Chengdu 610500, China
Yueru Jia: Sinopec Zhongyuan Gas Corp. Ltd., Sinopec Corp, Puyang 457000, China

Energies, 2018, vol. 11, issue 5, 1-20

Abstract: Combining the advantages of multicontinuum and multifracture representations provides an easy-to-use tool to adequately capture the characteristic of the multiscaled fracture system in shale gas reservoir. A hybrid model is established on the basis of simplified conceptual productivity assumption, where the matrix volume is divided into two sub-domains (triple-porosity model and dual-depletion flowing model) and the fracture volume is represented by discrete finite conductivity fracture. In addition, the mechanisms of instant desorption, viscous flow and dual-depletion in matrix are taken into account. The rate transient responses are then obtained by use of semi-analytical approach. Based on the model, type curves are plotted and verified by comparing with alternative reliable methods. Different flow regimes in shale gas reservoirs can be identified and detected. The Generalized Likelihood Uncertainty Estimation methodology, based on probabilistic aggregation theory, is employed to integrating those two productivity models together such that the production can be predicted more accurately. A field example is applied to validate the applicability of this new model. Finally, it is concluded that the proposed model can predict the rate and cumulative rate more easily and practically.

Keywords: shale gas; multi-stage fracturing horizontal well; dual-depletion; conceptual model; productivity model; generalized likelihood uncertainty estimation (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: 2018
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