Reservoir Evaluation and Development ›› 2020, Vol. 10 ›› Issue (1): 22-29.doi: 10.13809/j.cnki.cn32-1825/te.2020.01.004

• Method and Theory • Previous Articles     Next Articles

Post-fracturing numerical simulation of shale gas reservoir based on complex flow mechanisms

WANG Wei1,LI Yang2,CHEN Zuhua1,YAO Jun3,MEI Junwei1,REN Jianhua1,MA Bo1   

  1. 1. Exploration and Development Research Institute, East China Company, SINOPEC, Nanjing, Jiangsu 210011, China
    2. China Petroleum & Chemical Corporation, Beijing 100728, China
    3. School of Petroleum Engineering, China University of Petroleum(East China), Qingdao, Shandong 266580, China
  • Received:2019-07-23 Online:2020-02-26 Published:2020-02-04

Abstract:

In shale gas reservoirs with natural fractures, the artificial fractures and natural fractures communicate with each other after fracturing. The traditional dual media model can not accurately reflect the impact of natural fractures on well production. In order to investigate the influence on shale gas well productivity caused by gas transport in nanometer-size pores, the mathematical model of multi-stage fractured horizontal well in shale gas reservoir is built, which considers the influence of the complex flow mechanism such as the viscous flow, Knudsen diffusion, surface diffusion, adsorption layerand gas desorption. Discrete fracture model(DFM) is used to simplify the fracture and finite element method is applied to solve the model. The numerical simulation results of Pingqiao shale gas reservoir indicate that the free gas in fracture system mainly contributes to shale gas production in the early stage, and the average recovery of adsorbed gas is only 10.1 %. The existence of unmodified reservoir makes the influence of bedrock permeability on cumulative production greater. The density and connectivity of fracture networks have dominant effects on gas production and its decline trend.

Key words: Pingqiao shale gas reservoir, discrete fracture model, flow mechanism, production decline, post-fracturing simulation

CLC Number: 

  • TE332