Automatic Optimization of Multi-Well Multi-Stage Fracturing Treatments Combining Geomechanical Simulation, Reservoir Simulation and Intelligent Algorithm

Shale reserves have become an ever-increasing component of the world’s energy map. The optimal design multi-well multi-stage fracturing (MMF) treatments is essential to economic development such resources. However, optimizing MMF a complex process. It requires geomechanical simulation, reservoir and automatic optimization. In this work, integrated workflow proposed optimize in unconventional reservoir, net present value (NPV) was treated as objective function. forward model consists two submodels: hydraulic simulation model. stochastic simplex approximation gradient (StoSAG) used with steepest ascent algorithm maximize NPV computational results show that fracture can achieve 20% higher than obtained field reference case. drainage area larger initial design. maximum gas production rate increases from 23.75 MMSCF/day 34.43 oil 497 STB/day 692 STB/day. Therefore, new optimization paths accelerate help increase well production. This paper innovatively proposes coupled reduce waste manpower improve results.