|
|||||
|
|
Use of low-fidelity models with machine-learning error correction for well placement optimization |
|
| Authors: | Tang Haoyu Durlofsky Louis J |
| Institution: | 1.Department of Energy Resources Engineering, Stanford University, Stanford, CA, 94305, USA ; |
| Abstract: | Computational Geosciences - Well placement optimization is commonly performed using population-based global stochastic search algorithms. These optimizations are computationally expensive due to... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |