Optimization of ionic concentrations in engineered water injection in carbonate reservoir through ANN and FGA
نویسندگان
چکیده
Engineered Water Injection (EWI) has been increasingly tested and applied to enhance fluid displacement in reservoirs. The modification of ionic concentration provides interactions with the pore wall, which facilitates oil mobility. This mechanism carbonates alters natural rock wettability being quite an attractive recovery method. Currently, numerical simulation this injection method remains limited simplified models based on experimental data. Therefore, study uses Artificial Neural Networks (ANN) learnability incorporate analytical correlation between combination relative permeability (Kr), depicts alteration. composition system a Brazilian Pre-Salt benchmark is optimized maximize Net Present Value (NPV) field. optimization results indicate EWI be most profitable for cases tested. also increased by about 8.7% same injected amount reduced accumulated water production around 52%, compared common injection.
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ژورنال
عنوان ژورنال: Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles
سال: 2021
ISSN: ['1294-4475', '1953-8189']
DOI: https://doi.org/10.2516/ogst/2020094