[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 review on closed-loop field development and management

A Mirzaei-Paiaman, SMG Santos… - Journal of Petroleum …, 2021 - Elsevier
Closed-loop field development and management (CLFDM) is defined as a periodic update
of an uncertain field model using the latest measurements (data assimilation), followed by …

PSO+: A new particle swarm optimization algorithm for constrained problems

M Kohler, MMBR Vellasco, R Tanscheit - Applied Soft Computing, 2019 - Elsevier
Abstract The Particle Swarm Optimization algorithm is a metaheuristic based on populations
of individuals in which solution candidates evolve through simulation of a simplified model of …

Model-based decision analysis applied to petroleum field development and management

DJ Schiozer, AAS dos Santos… - Oil & Gas Science …, 2019 - ogst.ifpenergiesnouvelles.fr
This work describes a new methodology for integrated decision analysis in the development
and management of petroleum fields considering reservoir simulation, risk analysis, history …

Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations

B Beykal, F Boukouvala, CA Floudas, N Sorek… - Computers & Chemical …, 2018 - Elsevier
This work presents recent advances within the AlgoRithms for Global Optimization of
coNstrAined grey-box compUTational problems (ARGONAUT) framework, developed for …

Probabilistic history matching using discrete Latin Hypercube sampling and nonparametric density estimation

C Maschio, DJ Schiozer - Journal of Petroleum Science and Engineering, 2016 - Elsevier
This paper describes a new iterative procedure for probabilistic history matching using a
discrete Latin Hypercube (DLHC) sampling method and nonparametric density estimation …

Operator-based linearization approach for modeling of multiphase flow with buoyancy and capillarity

X Lyu, M Khait, D Voskov - SPE Journal, 2021 - onepetro.org
Numerical simulation of coupled multiphase multicomponent flow and transport in porous
media is a crucial tool for understanding and forecasting of complex industrial applications …

Integrated model based decision analysis in twelve steps applied to petroleum fields development and management

DJ Schiozer, AA Santos, PS Drumond - SPE Europec featured at EAGE …, 2015 - onepetro.org
This work describes a new methodology based on 12 steps for integrated decision analysis
related to petroleum fields development and management considering reservoir simulation …

UNISIM-II-D: Benchmark case proposal based on a carbonate reservoir

M Correia, J Hohendorff, AT Gaspar… - SPE Latin America and …, 2015 - onepetro.org
Brazilian pre-salt reservoirs are mainly carbonate formations and they represent a great
opportunity for research development. There is an increasing need of synthetic simulation …

Risk quantification combining geostatistical realizations and discretized Latin Hypercube

DJ Schiozer, GD Avansi… - Journal of the Brazilian …, 2017 - Springer
This work presents an alternative way to combine different types of uncertainty to quantify
risk in petroleum field development. Risk quantification is key in decision analysis. Some …