Waterflood Optimization: Review on Gradient-Ensemble Based Optimizers and Data Driven Proxies.
Waterflooding is the most common secondary recovery technique used in oil and gas
industries today, owing to its cheap investment cost and easy implementation. However …
industries today, owing to its cheap investment cost and easy implementation. However …
[HTML][HTML] Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques
Well placement optimization refers to the identification of optimal locations for wells
(producers and injectors) to maximize net present value (NPV) and oil recovery. It is a …
(producers and injectors) to maximize net present value (NPV) and oil recovery. It is a …
Comparative study on the optimal control of smart well in oil reservoir waterflooding with uncertainty
In oil reservoir setting, an alternative for conventional wells are the smart wells having inflow
control valves (ICVs). In this work, optimal control theory is implemented to investigate the …
control valves (ICVs). In this work, optimal control theory is implemented to investigate the …
[PDF][PDF] Pattern effect for oil reservoir waterflooding using smart well
MK Marvin, AB Ngulde, AM Abubakar - Applied Engineering, 2022 - researchgate.net
Waterflooding is a primary enhanced oil recovery involving the injection of water into an oil-
gas rich reservoir to increase production capacity. Waterflooding is one of the most used …
gas rich reservoir to increase production capacity. Waterflooding is one of the most used …
[PDF][PDF] Carbon Capture Technology and Its Potential to Global Emission: Mini-Review
ZM Sarkinbaka - International Journal of Recent Engineering …, 2022 - ijresonline.com
Carbon capture is one of the most effective measures to mitigate greenhouse gas emissions.
With the evolution of several techniques, some implications are encountered based on …
With the evolution of several techniques, some implications are encountered based on …
An Echo State Network Approach to Data-Driven Modelling and Optimal Control of Carbonate Reservoirs with Uncertainty Fields
MK Marvin, ZM Sarkinbaka, VI Fagorite… - Geoenergy Science and …, 2024 - Elsevier
Previous studies of reservoir simulation have shown that it is required to have every inherent
carbonate reservoir physics available at the model development phase. However, this …
carbonate reservoir physics available at the model development phase. However, this …
[PDF][PDF] Potential Swing to Natural Gas-Powered Electricity Generation
AZ Abdul, AM Abubakar - … Journal of Natural Sciences: Current and …, 2021 - academia.edu
Natural gas (NG) is a light gas, known also as methane due to high percentage of the
gaseous compound methane (CH4). Percentage of methane in natural gas varies country …
gaseous compound methane (CH4). Percentage of methane in natural gas varies country …
[PDF][PDF] Advances on Process Heat Utilization: Systemic Review
ZM Sarkinbaka, AB Ngulde - Gas, 2022 - ijresonline.com
Waste heat has been described as the energy disposed of or given off to the environment.
This waste energy, in many cases, arises from process operations in the industry. Heat …
This waste energy, in many cases, arises from process operations in the industry. Heat …
[PDF][PDF] Geoenergy Science and Engineering
MK Marvin, ZM Sarkinbaka, VI Fagorite, Y Ishaku - researchgate.net
Previous studies of reservoir simulation have shown that it is required to have every inherent
carbonate reservoir physics available at the model development phase. However, this …
carbonate reservoir physics available at the model development phase. However, this …
[PDF][PDF] Oil Reservoir Simulation via Deep Learning: Mini
TM Mainta, YA Dzakwa, Y Ishaku - researchgate.net
Reservoir engineers are faced with constitutive reservoir estimation due to monumental
data. In some cases, these datasets are difficult to analyze and extrapolate. Geological …
data. In some cases, these datasets are difficult to analyze and extrapolate. Geological …