Efficient and robust optimization for well patterns using a PSO algorithm with a CNN-based proxy model

J Kim, K Lee, J Choe - Journal of Petroleum Science and Engineering, 2021 - Elsevier
One objective of the field development plan (FDP) is to optimize well patterns, that is, the
number and type of well (producers or injectors) and their locations, in order to maximize net …

Biobjective optimization of well placement: algorithm, validation, and field testing

F Alpak, V Jain, Y Wang, G Gao - SPE Journal, 2022 - onepetro.org
We describe the development and validation of a novel algorithm for field-development
optimization problems and document field-testing results. Our algorithm is founded on recent …

An efficient adaptive algorithm for robust control optimization using StoSAG

R Lu, F Forouzanfar, AC Reynolds - Journal of Petroleum Science and …, 2017 - Elsevier
There is significant geological uncertainty in the reservoir description due to the limited
knowledge about the underground formation. The common approach is to use multiple …

Simultaneous optimization of well count and placement: algorithm, validation, and field testing

FO Alpak - SPE Journal, 2023 - onepetro.org
Robust identification of the optimal well count and corresponding well locations/trajectories
under the influence of subsurface uncertainty is a very challenging yet crucial element of …

Sequential field development plan through robust optimization coupling with CNN and LSTM-based proxy models

J Kim, J Choe, K Lee - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Well operation optimization is vital in maximizing the net present value (NPV) of the field
development plan (FDP). As well operation is a time-series scenario, this problem contains …

[HTML][HTML] A compositional function hybridization of PSO and GWO for solving well placement optimisation problem

D Ocran, SS Ikiensikimama, E Broni-Bediako - Petroleum Research, 2022 - Elsevier
Advances in technology and optimisation are helping to improve decision making in the oil
and gas industry. However, most of the traditional metaheuristic algorithms applied in well …

Benchmarking and Field-Testing of the Distributed Quasi-Newton Derivative-Free Optimization Method for Field Development Optimization

F Alpak, Y Wang, G Gao, V Jain - SPE Annual Technical Conference …, 2021 - onepetro.org
Recently, a novel distributed quasi-Newton (DQN) derivative-free optimization (DFO)
method was developed for generic reservoir performance optimization problems including …

Integrated well placement and completion optimization using heuristic algorithms: A case study of an Iranian carbonate formation

R Khoshneshin, S Sadeghnejad - Journal of Chemical and Petroleum …, 2018 - jchpe.ut.ac.ir
Determination of optimum location for drilling a new well not only requires engineering
judgments but also consumes excessive computational time. Additionally, availability of …

Support-vector regression accelerated well location optimization: algorithm, validation, and field testing

FO Alpak, V Jain - Computational Geosciences, 2021 - Springer
We have developed a machine-learning (ML) accelerated optimization method for
challenging real-life well-location optimization (WLO) applications. The optimization protocol …

An optimized-hybrid in-situ-upgrading and steam-injection process for enhanced-heavy-oil recovery in a naturally fractured reservoir

FO Alpak, JM Karanikas - SPE Journal, 2020 - onepetro.org
The subsurface hybridization of the in‐situ‐upgrading process (IUP) and steam injection (ie,
the hybrid‐IUP/steam recovery scheme) integrates the advantages of process robustness …