Accurate prediction of hydrocarbon production is crucial for the oil and gas industry.
However, the strong heterogeneity of underground formation, the inconsistency in oil–gas …

In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …

Throughout the application of enhanced oil recovery (EOR), surfactant adsorption is
considered the leading constraint on both the successful implementation and economic …

Oil production forecasting is an important means of understanding and effectively
developing reservoirs. Reservoir numerical simulation is the most mature and effective …

Developing a model that can accurately predict the hydrocarbon production by only
employing the conventional mathematical approaches can be very challenging. This is …

Saybolt color is a standard measurement scale used to determine the quality of petroleum
products and the appropriate refinement process. However, the current color measurement …

This study proposed a new geological modelling procedure for CO2 storage assessment in
offshore Vietnam by integrating artificial neural networks, co-kriging and object-based …

Abstract Pressure-Volume-Temperature (PVT) crude oil properties play a significant role in
reservoir evaluation and field planning. PVT properties are usually determined through …

A new deep-learning-based surrogate model is developed and applied for predicting
dynamic oil rate and water rate with different well controls. The surrogate model is based on …

Accurate production prediction plays a key role in the development and management of
reservoirs. Since reservoir parameters are difficult to obtain for the hydraulically fractured …