Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …

Prediction of well production from unconventional reservoirs is a complex problem given an
incomplete understanding of physics despite large amounts of data. Recently, Data …

The utilization of carbon capture utilization and storage (CCUS) in unconventional
formations is a promising way for improving hydrocarbon production and combating climate …

The energy demand is still increasing across the globe, while environmental concerns about
global warming effect and greenhouse gases have augmented recently. CO 2 injection into …

Underground coal fires release substantial carbon dioxide (CO 2), posing significant
environmental and health threats. Accurate prediction of surface CO 2 emissions in these …

In this work, the radial basis function neural network (RBFNN) and random forest (RF)
algorithms were employed to develop generic AI models predicting mass transfer coefficient …

Carbon dioxide (CO 2) capture and sequestration in saline aquifers have turned into a key
focus as it becomes an effective way to reduce CO 2 in the atmosphere. The solubility of CO …

Oil recovery during in situ combustion is majorly controlled by hydrocarbon oxidation and
pyrolysis reactions, which govern fuel formation and heat evolution. Fuel deposition, in turn …

In this study, considering the differences of minimum miscibility pressure (MMP) measured
with the slim-tube and rising bubble apparatus (RBA) methods and taking each individual …

CO2 dissolution in water at different temperature and pressure conditions is of essential
interest for various environmental, geochemical, and thermodynamic related problems. The …