Stochastic optimization strategies applied to the OLYMPUS benchmark
VLS Silva, MA Cardoso, DFB Oliveira… - Computational …, 2020 - Springer
In this work, we discuss the application of stochastic optimization approaches to the
OLYMPUS case, a benchmark challenge which seeks the evaluation of different techniques …
OLYMPUS case, a benchmark challenge which seeks the evaluation of different techniques …
[HTML][HTML] An efficient robust optimization workflow using multiscale simulation and stochastic gradients
RJ de Moraes, RM Fonseca, MA Helici… - Journal of Petroleum …, 2019 - Elsevier
We present an efficient workflow that combines multiscale (MS) forward simulation and
stochastic gradient computation-MS-StoSAG-for the optimization of well controls applied to …
stochastic gradient computation-MS-StoSAG-for the optimization of well controls applied to …
BHPSO combined with statistical net hydrocarbon thickness map for well placement optimization under uncertainty
A Harb, A Moallem, K Ghorayeb - Computational Geosciences, 2021 - Springer
Investments in oil and gas projects are driven by critical field development decisions
including well placement, which often significantly affect the projects' economics. Due to …
including well placement, which often significantly affect the projects' economics. Due to …
Fast robust optimization using bias correction applied to the mean model
Ensemble methods are remarkably powerful for quantifying geological uncertainty.
However, the use of the ensemble of reservoir models for robust optimization (RO) can be …
However, the use of the ensemble of reservoir models for robust optimization (RO) can be …
Production optimisation under uncertainty with automated scenario reduction: A real-field case application
E Barros, RM Fonseca, RJ De Moraes - … Reservoir Characterisation and …, 2019 - onepetro.org
In this work we discuss the successful application of our previously developed automated
scenario reduction approach applied to life-cycle optimization of a real field case. The …
scenario reduction approach applied to life-cycle optimization of a real field case. The …
Fast Robust Optimization Using Mean Field Bias Correction
Ensemble methods are remarkably powerful for quantifying geological uncertainty.
However, robust optimization of a cost function for a problem in which uncertainty is …
However, robust optimization of a cost function for a problem in which uncertainty is …
[引用][C] Optimizing Geothermal Well Planning under Reservoir Uncertainty with Stochastic Programming
R Adiga - 2023 - ResearchSpace@ Auckland