Automatic Optimization of Multi-Well Multi-Stage Fracturing Treatments Combining Geomechanical Simulation, Reservoir Simulation and Intelligent Algorithm
Abstract
:1. Introduction
2. Methodology
2.1. Introduction of the Workflow
2.2. Optimization Problem
2.3. Cost Function
2.4. Displacement Discontinuity Method (DDM)
2.5. Planar Fracture Model
2.6. The Steepest Ascent Algorithm Using StoSAG
2.7. Presentation of Fracture Propagation Simulation and Reservoir Simulation
3. Case Study
3.1. Reservoir Properties and Treatment Parameters
3.2. Results
4. Conclusions
- An integrated workflow is developed to optimize the MMF design in shale reservoirs. The workflow combines the DDM, LS-LR-DK grid system, CMG’s GEM, and the steepest ascent algorithm using the StoSAG search method.
- The DDM method satisfies the computation speed for multiple fracture propagation simulations because only the fracture paths need to be discretized.
- The planar fracture model can accurately model the transient behavior of reservoir fluids from the matrix to fractures. The grids intersecting with the wellbore are logarithmically refined in both directions to model fluids flowing into the wellbore and fracture more accurately.
- The StoSAG search method can efficiently find the optimal solution under high-dimension space. StoSAG generally yields significantly better gradient approximations than the standard ensemble optimization (EnOpt) algorithm.
- The computational results show that the optimization of the fracture design for the conceptual model can achieve a nearly 20% higher NPV score than the one obtained with the field case. This work presents a complete and feasible solution to optimize MMF design.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Wang, B.; Fang, Y.; Li, L.; Liu, Z. Automatic Optimization of Multi-Well Multi-Stage Fracturing Treatments Combining Geomechanical Simulation, Reservoir Simulation and Intelligent Algorithm. Processes 2023, 11, 1759. https://doi.org/10.3390/pr11061759
Wang B, Fang Y, Li L, Liu Z. Automatic Optimization of Multi-Well Multi-Stage Fracturing Treatments Combining Geomechanical Simulation, Reservoir Simulation and Intelligent Algorithm. Processes. 2023; 11(6):1759. https://doi.org/10.3390/pr11061759
Chicago/Turabian StyleWang, Bo, Yan Fang, Lizhe Li, and Zhe Liu. 2023. "Automatic Optimization of Multi-Well Multi-Stage Fracturing Treatments Combining Geomechanical Simulation, Reservoir Simulation and Intelligent Algorithm" Processes 11, no. 6: 1759. https://doi.org/10.3390/pr11061759
APA StyleWang, B., Fang, Y., Li, L., & Liu, Z. (2023). Automatic Optimization of Multi-Well Multi-Stage Fracturing Treatments Combining Geomechanical Simulation, Reservoir Simulation and Intelligent Algorithm. Processes, 11(6), 1759. https://doi.org/10.3390/pr11061759