Life-cycle optimization of the carbon dioxide huff-n-puff process in an unconventional oil reservoir using least-squares support vector and Gaussian process …

A Almasov, M Onur - SPE Journal, 2021 - onepetro.org
In this work, we investigate the efficient estimation of the optimal design variables that
maximize net present value (NPV) for the life-cycle production optimization during a single …

[HTML][HTML] A survey on multi-objective, model-based, oil and gas field development optimization: Current status and future directions

A Rostamian, MB de Moraes, DJ Schiozer, GP Coelho - Petroleum Science, 2024 - Elsevier
In the area of reservoir engineering, the optimization of oil and gas production is a complex
task involving a myriad of interconnected decision variables shaping the production system's …

A stochastic simplex approximate gradient (StoSAG) for optimization under uncertainty

RRM Fonseca, B Chen, JD Jansen… - … Journal for Numerical …, 2017 - Wiley Online Library
We consider a technique to estimate an approximate gradient using an ensemble of
randomly chosen control vectors, known as Ensemble Optimization (EnOpt) in the oil and …

Robust multiobjective nonlinear constrained optimization with ensemble stochastic gradient sequential quadratic programming-filter algorithm

Z Liu, A Reynolds - SPE Journal, 2021 - onepetro.org
As the crucial step in closed-loop reservoir management, robust life-cycle production
optimization is defined as maximizing/minimizing the expected value of a predefined …

A classification-based surrogate-assisted multiobjective evolutionary algorithm for production optimization under geological uncertainty

M Zhao, K Zhang, G Chen, X Zhao, J Yao, C Yao… - SPE Journal, 2020 - onepetro.org
Multiobjective optimization (MOO) is a popular procedure for waterflooding optimization
under geological uncertainty that maximizes the expectation of net present value (NPV) over …

Reservoir modeling and optimization based on deep learning with application to enhanced geothermal systems

B Yan, Z Xu, M Gudala, Z Tariq… - … Conference and Exhibition …, 2023 - onepetro.org
With the energy demand arising globally, geothermal recovery by Enhanced Geothermal
Systems (EGS) becomes a promising option to bring a sustainable energy supply and …

Multi-objective optimization under uncertainty of geothermal reservoirs using experimental design-based proxy models

DO Schulte, D Arnold, S Geiger, V Demyanov, I Sass - Geothermics, 2020 - Elsevier
Geothermal energy has a high potential to contribute to a more sustainable energy system if
the associated economic risks can be overcome in the design process. The development …

CO2 water-alternating-gas injection for enhanced oil recovery: Optimal well controls and half-cycle lengths

B Chen, AC Reynolds - Computers & Chemical Engineering, 2018 - Elsevier
Abstract CO 2 water-alternating-gas (WAG) injection is an enhanced oil recovery method
designed to improve sweep efficiency during CO 2 injection with the injected water to control …

Convolutional–recurrent neural network proxy for robust optimization and closed-loop reservoir management

YD Kim, LJ Durlofsky - Computational Geosciences, 2023 - Springer
Production optimization under geological uncertainty is computationally expensive, as a
large number of well control schedules must be evaluated over multiple geological …

Surrogate-assisted multiobjective optimization of a hydraulically fractured well in a naturally fractured shale reservoir with geological uncertainty

H Zhang, JJ Sheng - SPE Journal, 2022 - onepetro.org
Hydraulic fracturing is the most widely used technology for the commercial exploitation of
shale-gas reservoirs, yet still faces high cost and development risk caused by many …