[HTML][HTML] A survey on the application of machine learning and metaheuristic algorithms for intelligent proxy modeling in reservoir simulation

CSW Ng, MN Amar, AJ Ghahfarokhi… - Computers & Chemical …, 2023 - Elsevier
Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …

Carbonate rocks and petroleum reservoirs: a geological perspective from the industry

TP Burchette - Geological Society, London, Special Publications, 2012 - lyellcollection.org
Carbonate oil reservoirs are sometimes regarded with apprehension in the petroleum
industry since it can be difficult to predict the quality of, and ensure high recovery factors …

Well placement optimization: A survey with special focus on application for gas/gas-condensate reservoirs

H Nasrabadi, A Morales, D Zhu - Journal of Natural Gas Science and …, 2012 - Elsevier
Well placement within a reservoir is a challenging step in the reservoir development
process. Determining the optimal well location is a complex problem involving many factors …

Efficient well placement optimization coupling hybrid objective function with particle swarm optimization algorithm

S Ding, R Lu, Y Xi, G Liu, J Ma - Applied Soft Computing, 2020 - Elsevier
Well placement optimization is a critical part of the oil field development planning which
aims to find the optimal locations of wells to maximize a traditional objective function (TOF) …

Bridging the gap between deterministic and probabilistic uncertainty quantification using advanced proxy based methods

N Goodwin - SPE Reservoir Simulation Conference?, 2015 - onepetro.org
The use of proxy models for optimisation of expensive functions has demonstrated its value
since the 1990's in many industries. Within reservoir engineering, similar techniques have …

An efficient method for injection well location optimization using fast marching method

R Yousefzadeh, M Sharifi, Y Rafiei - Journal of Petroleum Science and …, 2021 - Elsevier
Well placement is one of the challenging steps in field development optimization. Finding
optimal locations with fewer function evaluations and less time is crucial when dealing with …

Well placement optimization using an analytical formula-based objective function and cat swarm optimization algorithm

H Chen, Q Feng, X Zhang, S Wang, W Zhou… - Journal of Petroleum …, 2017 - Elsevier
Well placement optimization is a crucial and complex task in oil field development. Well
placement is usually optimized by coupling reservoir numerical simulator with optimization …

Scenario reduction of realizations using fast marching method in robust well placement optimization of injectors

R Yousefzadeh, M Sharifi, Y Rafiei… - Natural Resources …, 2021 - Springer
Choosing a representative subset of realizations can reduce significantly the number of
simulations and the computational cost associated with optimization under geological …

[HTML][HTML] Well production optimization using streamline features-based objective function and Bayesian adaptive direct search algorithm

QH Feng, SS Li, XM Zhang, XF Gao, JH Ni - Petroleum Science, 2022 - Elsevier
Well production optimization is a complex and time-consuming task in the oilfield
development. The combination of reservoir numerical simulator with optimization algorithms …

Well placement optimization using direct mapping of productivity potential and threshold value of productivity potential management strategy

S Ding, R Lu, Y Xi, S Wang, Y Wu - Computers & Chemical Engineering, 2019 - Elsevier
Well placement optimization is usually complex, nonlinear and multimodal in oil field
development. Well placement is usually optimized by coupling reservoir numerical simulator …