Oil and gas industries are facing several challenges and issues in data processing and
handling. Large amount of data bank is generated with various techniques and processes …

Abstract The advent of Artificial Intelligence (AI) in the petroleum industry has seen an
increase in its use in exploration, development, production, reservoir engineering and …

Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …

Aiming to find the most suitable development schemes of conventional and unconventional
reservoirs for maximum energy supply or economic benefits, reservoir production …

Abstract Machine learning models are often considered as black-box solutions which is one
of the main reasons why they are still not widely used in operation of process engineering …

Abstract Nowadays Machine Learning approaches are getting popular in almost all the
domains of Engineering Applications. One such widely used approach is Artificial Neural …

Human errors significantly contribute to transport accidents. Human performance
measurement (HPM) is crucial to ensure human reliability and reduce human errors …

For an oil well to be said to have been successfully and conclusively drilled, the drilling fluid
lies at the heart of the solution. Therefore, the guarantee to solving issues in oil well drilling …

Prediction of reservoir petrophysical properties from well-logs data has evolved from the use
of experts' knowledge and statistics to the use of artificial intelligence (AI) models. Several AI …

With the advances of technology, many new well logs have been acquired over the past
decade that carries vital information about the reservoir and subsurface layers. Thus …