Surrogate-assisted evolutionary algorithm with dimensionality reduction method for water flooding production optimization
The objective of oil reservoir production optimization is finding optimal scheme of each well
to maximize the net present value (NPV) or the hydrocarbon production. Various …
to maximize the net present value (NPV) or the hydrocarbon production. Various …
Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations
This work presents recent advances within the AlgoRithms for Global Optimization of
coNstrAined grey-box compUTational problems (ARGONAUT) framework, developed for …
coNstrAined grey-box compUTational problems (ARGONAUT) framework, developed for …
Waterflood Optimization: Review on Gradient-Ensemble Based Optimizers and Data Driven Proxies.
Waterflooding is the most common secondary recovery technique used in oil and gas
industries today, owing to its cheap investment cost and easy implementation. However …
industries today, owing to its cheap investment cost and easy implementation. However …
Reduced-order modeling of CO2 storage operations
ZL Jin, LJ Durlofsky - International Journal of Greenhouse Gas Control, 2018 - Elsevier
Abstract A POD-TPWL reduced-order modeling framework is developed to simulate and
optimize the injection stage of CO 2 storage operations. The method combines trajectory …
optimize the injection stage of CO 2 storage operations. The method combines trajectory …
Dimensionality reduction for production optimization using polynomial approximations
The objective of this paper is to introduce a novel paradigm to reduce the computational
effort in waterflooding global optimization problems while realizing smooth well control …
effort in waterflooding global optimization problems while realizing smooth well control …
Model order reduction and control polynomial approximation for well-control production optimization
The objective of this paper is to reduce the computational effort in reservoir flooding
optimization problems by a combination of different optimization parametrization methods …
optimization problems by a combination of different optimization parametrization methods …
Short-term and long-term optimizations for reservoir management with intelligent wells
Short-term optimization of an oil field has been used to increase economic value of oil
recovery as compared to reactive control (shutting the well when water cut limit is reached …
recovery as compared to reactive control (shutting the well when water cut limit is reached …
Field development process revealing uncertainty assessment pitfalls
AL Morosov, DJ Schiozer - … Europec featured at EAGE Conference and …, 2016 - onepetro.org
The amount of information available for field development planning is limited, forcing the
Production Strategy to be designed under great amounts of uncertainty. During its …
Production Strategy to be designed under great amounts of uncertainty. During its …
A quasi-Newton trust-region method for optimization under uncertainty using stochastic simplex approximate gradients
The goal of field-development optimization is maximizing the expected value of an objective
function, eg, net present value for a producing oil field or amount of CO 2 stored in a …
function, eg, net present value for a producing oil field or amount of CO 2 stored in a …
[HTML][HTML] Constrained short-term and long-term multi-objective production optimization using general stochastic approximation algorithm
H Zhao, Y Zhang, L Cao, X Kang, X Xie - Cluster Computing, 2019 - Springer
In the water flooding reservoir management, engineers aim to make an optimal production
strategy to maximize both the net present value (NPV) in life-cycle and the short-term NPV …
strategy to maximize both the net present value (NPV) in life-cycle and the short-term NPV …