Abstract
AbstractShale gas reservoirs have gradually become the main source for oil and gas production. The automatic optimization technology of complex fracture network in fractured horizontal wells is the key technology to realize the efficient development of shale gas reservoirs. In this paper, based on the flow model of shale gas reservoirs, the porosity/permeability of the matrix system and natural fracture system is characterized. The fracture network morphology is finely characterized by the fracture network expansion calculation method, and the flow model was proposed and solved. On this basis, the influence of matrix permeability, matrix porosity, fracture permeability, fracture porosity, and fracture length on the production of shale gas reservoirs is studied. The optimal design of fracture length and fracture location was carried, and the automatic optimization method of complex fracture network parameters based on simultaneous perturbation stochastic approximation (SPSA) was proposed. The method was applied in a shale gas reservoir, and the results showed that the proposed automatic optimization method of the complex fracture network in shale gas reservoirs can automatically optimize the parameters such as fracture location and fracture length and obtain the optimal fracture network distribution matching with geological conditions.
Highlights
Conventional natural gas resources have gradually dried up after long-term exploitation, and unconventional oil and gas resources such as tight oil and gas, shale gas, coalbed methane, and gas hydrate have gradually become the main source for increasing oil and gas reserves and production [1]
The development practice of shale gas reservoirs in many areas has proved that fractured horizontal wells are the main technology for effective exploitation of shale gas reservoirs [2]
Xu et al [29] proposed a framework of the embedding discrete fracture model (EDFM) and intelligent algorithm to optimize the parameters of fractured horizontal wells and applied it in actual reservoirs to obtain a higher net present value than local grid refinement (LGR)
Summary
Conventional natural gas resources have gradually dried up after long-term exploitation, and unconventional oil and gas resources such as tight oil and gas, shale gas, coalbed methane, and gas hydrate have gradually become the main source for increasing oil and gas reserves and production [1]. The numerical simulation for shale gas reservoirs must overcome the problem that the conventional methods cannot accurately describe fractures. After the establishment of a numerical simulation method for shale gas reservoirs, it is necessary to optimize the perforation parameters of horizontal wells for specific reservoir geological conditions. Xu et al [29] proposed a framework of the embedding discrete fracture model (EDFM) and intelligent algorithm to optimize the parameters of fractured horizontal wells and applied it in actual reservoirs to obtain a higher net present value than local grid refinement (LGR). Based on the latest fracture propagation simulation method, a flow simulation method considering the morphological characteristics of complex fracture networks is established and solved by the finite volume method On this basis, the SPSA algorithm is used to automatically optimize the hydraulic fracture length and fracture location
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