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 …

The production of gas and oil from the unconventional tight and shale reservoirs is the
outcome through a series of cooperative efforts of drilling, completion, and production …

The article presents a method of statistical modeling and forecasting of oil production rate at
a real field that has been in operation for a long time. Nowadays such fields form the basis of …

Performance evaluations of oil and gas assets are crucial for continuously improving
operational efficiency in the mainstream petroleum industry. The success of such …

Optimizing strategies in the Oil and Gas Industry, particularly within reservoir engineering
and management, remains a significant challenge due to the prohibitive computational time …

This paper aims to evaluate the efficiency of various machine learning algorithms integrating
with numerical simulations in optimizing oil production for a highly heterogeneous reservoir …

The global increase in energy demand and the decreasing number of newly discovered
hydrocarbon reservoirs caused by the relatively low oil price means that it is crucial to exploit …

This study presents a comprehensive investigation into the application of reservoir
simulation and machine learning techniques to improve the understanding and prediction of …

Computer intelligent models are the order of the day for the manipulation of data to better
understand the trend of complex situations under the questioned industry. The petroleum …

In recent years, machine learning and its subset, deep learning, have been quickly
developed and applied with great success in various areas of petroleum engineering …