A Numerical Simulation Approach for Shale Fracture Network Characterization Using Hybrid EDFM Method

Abstract Efficient and economical production in shale reservoirs requires specific knowledge techniques to characterize the fracture network, which consists of both large hydraulic fractures natural fractures. Current research mainly focuses on part, while characterizing is relatively rare due complexity uncertainties distribution reservoirs. This paper proposed a numerical method for this complex network handles at full dimensions using combination microseismic data, geostatistical information, fracking plan, reservoir simulation. We use clouds generate mappings choose most appropriate set schedule flowback The are treated fractal probabilistic model calibrated with information including length, density, intensity. Both mentioned above then modeled embedded discrete (EDFM) coupled create hybrid applied simulation grids. Numerical performed investigate further into history matching reduce uncertainty by select from multiple realizations. Sensitivity analysis also analyze controlled parameters total production. used our approach study horizontal well performance Permian Basin compared results traditional characterization methods. Our established work has shown best agreement data randomized multimedium method. provides novel networks may be guide optimizations plan management.