[HTML][HTML] A state-of-the-art literature review on capacitance resistance models for reservoir characterization and performance forecasting

RW Holanda, E Gildin, JL Jensen, LW Lake, CS Kabir - Energies, 2018 - mdpi.com
Capacitance resistance models (CRMs) comprise a family of material balance reservoir
models that have been applied to primary, secondary and tertiary recovery processes …

Optimization of miscible CO2 EOR and storage using heuristic methods combined with capacitance/resistance and Gentil fractional flow models

SE Eshraghi, MR Rasaei, S Zendehboudi - Journal of Natural Gas Science …, 2016 - Elsevier
Ongoing increase in worldwide oil demand and emission of greenhouse gases persuades
engineers to utilize new approaches to optimize enhanced hydrocarbon recovery operations …

[HTML][HTML] Production optimization under waterflooding with Long Short-Term Memory and metaheuristic algorithm

CSW Ng, AJ Ghahfarokhi, MN Amar - Petroleum, 2023 - Elsevier
In petroleum domain, optimizing hydrocarbon production is essential because it does not
only ensure the economic prospects of the petroleum companies, but also fulfills the …

Particle swarm optimization of thermal enhanced oil recovery from oilfields with temperature control

M Siavashi, MH Doranehgard - Applied Thermal Engineering, 2017 - Elsevier
Thermal enhanced oil recovery (EOR) methods are commonly used to extract heavy oil from
oilfields. Hot water injection into reservoirs reduces oil viscosity and increases its mobility to …

[HTML][HTML] Reservoir characterization and productivity forecast based on knowledge interaction neural network

Y Jiang, H Zhang, K Zhang, J Wang, S Cui, J Han… - Mathematics, 2022 - mdpi.com
The reservoir characterization aims to provide the analysis and quantification of the injection-
production relationship, which is the fundamental work for production management. The …

Reducing the computation time of well placement optimisation problems using self-adaptive metamodelling

M Sayyafzadeh - Journal of Petroleum Science and Engineering, 2017 - Elsevier
A group of optimisers, widely used for well placement problems, are population-based
algorithms. These algorithms have a major downside; they are computationally demanding …

Efficient particle swarm optimization of well placement to enhance oil recovery using a novel streamline-based objective function

M Siavashi, MR Tehrani… - Journal of Energy …, 2016 - asmedigitalcollection.asme.org
One of the main reservoir development plans is to find optimal locations for drilling new
wells in order to optimize cumulative oil recovery. Reservoir simulation is a necessary tool to …

A generalized framework for Capacitance Resistance Models and a comparison with streamline allocation factors

RW de Holanda, E Gildin, JL Jensen - Journal of Petroleum Science and …, 2018 - Elsevier
Abstract The Capacitance Resistance Model (CRM) is a fast way for modeling and
simulating gas and waterflood recovery processes, making it a useful tool for improving real …

Water flooding performance prediction in layered reservoirs using improved capacitance-resistive model

A Mamghaderi, P Pourafshary - Journal of Petroleum Science and …, 2013 - Elsevier
Traditional strategies have attempted to combine complicated petrophysics, geophysics and
thermodynamics with economic factors in order to determine the best method of recovery …

Water flooding performance prediction by multi-layer capacitance-resistive models combined with the ensemble Kalman filter

Z Zhang, H Li, D Zhang - Journal of Petroleum Science and Engineering, 2015 - Elsevier
In this study, a system of multi-layer capacitance resistive models (MLCRMs) is established
for water flooding performance prediction in a layered reservoir. Three different types of …