All Outputs (3)

A summary of artificial lift failure, remedies and run life improvements in conventional and unconventional wells. (2023)
Journal Article
MAHDI, M.A.A., AMISH, M., OLUYEMI, G. and ABDULMONIEM, M. 2023. A summary of artificial lift failure, remedies and run life improvements in conventional and unconventional wells. International journal of innovative science and research technology [online], 8(11), pages 1589-1596. Available from: https://doi.org/10.5281/zenodo.10251115

Artificial lift (AL) systems are crucial for enhancing oil and gas production from reservoirs. However, the failure of these systems can lead to significant losses in production and revenue. This paper explores the different types of AL failures and... Read More about A summary of artificial lift failure, remedies and run life improvements in conventional and unconventional wells..

Plug and abandonment of oil and gas wells: a comprehensive review of regulations, practices, and related impact of materials selection. (2023)
Journal Article
CHUKWUEMEKA, A.O., OLUYEMI, G., MOHAMMED, A.I. and NJUGUNA, J. 2023. Plug and abandonment of oil and gas wells: a comprehensive review of regulations, practices, and related impact of materials selection. Geoenergy science and engineering [online], 226, article 211718. Available from: https://doi.org/10.1016/j.geoen.2023.211718

This paper reviews the state of research in permanent barrier materials for plug and abandonment of oil and gas wells to identify key strengths and weaknesses of each barrier material and understand the impact of reservoir conditions and fluids on ba... Read More about Plug and abandonment of oil and gas wells: a comprehensive review of regulations, practices, and related impact of materials selection..

An artificial lift selection approach using machine learning: a case study in Sudan. (2023)
Journal Article
MAHDI, M.A.A., AMISH, M. and OLUYEMI, G. 2023. An artificial lift selection approach using machine learning: a case study in Sudan. Energies [online], 16(6), article number 2853. Available from: https://doi.org/10.3390/en16062853

This article presents a machine learning (ML) application to examine artificial lift (AL) selection, using only field production datasets from a Sudanese oil field. Five ML algorithms were used to develop a selection model, and the results demonstrat... Read More about An artificial lift selection approach using machine learning: a case study in Sudan..