A comparative study to accelerate field development plan optimization

Deep reinforcement learning and adaptive policy transfer for generalizable well control optimization

Z Wang, K Zhang, J Zhang, G Chen, X Ma, G ** the heterogeneous
behavior in a reasonable development time, is a challenge. This study introduces a new …
Save Cite Cited by 1 Related articles
[Free GPT-4]
[PDF] sciencedirect.com

Cluster-based learning and evolution algorithm for optimization

AK Loomba, VE Botechia, DJ Schiozer - Geoenergy Science and …, 2023 - Elsevier
In this work, we present a cluster-based learning and evolution optimizer (CLEO) for solving
optimization problems. CLEO is a metaheuristic algorithm that uses cluster-based …
Save Cite Cited by 1 Related articles All 3 versionsFree GPT-4

Optimizing Well Control Strategies with IDLHC-MLR: A Machine Learning Approach to Address Geological Uncertainties and Reduce Simulations

DR Santos, AR Fioravanti, VE Botechia… - Offshore Technology …, 2023 - onepetro.org
This paper presents an advanced version of the previous IDLHC-ML approach, designed to
enhance life-cycle well control optimization by reducing simulations. Unlike its predecessor …
Save Cite Cited by 2 Related articles