All Outputs (9)

Review of detection, prediction and treatment of fluid loss events. (2024)
Journal Article
AMISH, M. and KHODJA, M. 2025. Review of detection, prediction and treatment of fluid loss events. Arabian journal of geosciences [online], 18(1), article number 8. Available from: https://doi.org/10.1007/s12517-024-12142-9

Lost circulation has the potential to cause formation damage, wellbore instability and a blowout. Many methods have been introduced, but there is no industry-wide solution available to predict lost circulation due to some constraints in the field. It... Read More about Review of detection, prediction and treatment of fluid loss events..

A review of well life cycle integrity challenges in the oil and gas industry and its implications for sustained casing pressure (SCP). (2024)
Journal Article
IBUKUN, M., ELYAN, E., AMISH, M., NJUGUNA, J. and OLUYEMI, G.F. 2024. A review of well life cycle integrity challenges in the oil and gas industry and its implications for sustained casing pressure (SCP). Energies [online], 17(22), article number 5562. Available from: https://doi.org/10.3390/en17225562

Sustained Casing Pressure (SCP) is a condition in oil and gas wells where continuous pressure buildup in the well casing over a long period of time occurs. Several factors might be responsible for this, including the influx of formation fluids, the l... Read More about A review of well life cycle integrity challenges in the oil and gas industry and its implications for sustained casing pressure (SCP)..

Enhancing workplace skills through work-based learning in engineering education. (2024)
Journal Article
AMISH, M. 2024. Enhancing workplace skills through work-based learning in engineering education. International journal of innovative science and research technology [online], 9(7), pages 1983-1990. Available from: https://doi.org/10.38124/ijisrt/IJISRT24JUL1276

The industry's modern workplace is rapidly evolving due to the energy transition. This transformation focuses on advanced technology and solutions to energy-related challenges. Aligning the skills taught in higher education with the demands of the wo... Read More about Enhancing workplace skills through work-based learning in engineering education..

Artificial lift selection methods in conventional and unconventional wells: a summary and review from old techniques to machine learning applications. (2024)
Journal Article
MAHDI, M.A.A., AMISH, M. and OLUYEMI, G. 2024. Artificial lift selection methods in conventional and unconventional wells: a summary and review from old techniques to machine learning applications. International journal of innovative science and research technology [online], 9(3), pages 2342-2356. Available from: https://doi.org/10.38124/ijisrt/IJISRT24MAR2108

Artificial lift (AL) selection is an important process in enhancing oil and gas production from reservoirs. This article explores the old and current states of AL selection in conventional and unconventional wells, identifying the challenges faced in... Read More about Artificial lift selection methods in conventional and unconventional wells: a summary and review from old techniques to machine learning applications..

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..

Genetic programming application in predicting fluid loss severity. (2023)
Journal Article
AMISH, M. and ETTA-AGBOR, E. 2023. Genetic programming application in predicting fluid loss severity. Results in engineering [online], 20, article number 101464. Available from: https://doi.org/10.1016/j.rineng.2023.101464

Numerous wells worldwide encounter significant, costly, and time-consuming lost circulation issues during drilling or while deploying tubulars across naturally fractured or induced fractured formations. This can potentially lead to formation damage,... Read More about Genetic programming application in predicting fluid loss severity..

Developing a virtual engineering lab using ADDIE model. (2023)
Journal Article
AMISH, M. and JIHAN. S. 2023. Developing a virtual engineering lab using ADDIE model. Journal of e-learning research [online], 2(1), pages 50-69. Available from: https://doi.org/10.33422/jelr.v2i1.417

In recent years, digital competence has become essential at the workplace. There is a growing demand for engineers with both employability and digital skills. As a result of the technological advancements, the Virtual Laboratory (VLab) concept was cr... Read More about Developing a virtual engineering lab using ADDIE model..

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..

New HTHP fluid loss control agent for oil-based drilling fluid from pharmaceutical waste. (2022)
Journal Article
KHODJA, M., DEBIH, H., LEBTAHI, H. and AMISH, M.B. 2022. New HTHP fluid loss control agent for oil-based drilling fluid from pharmaceutical waste. Cleaner engineering and technology [online], 8, article number 100476. Available from: https://doi.org/10.1016/j.clet.2022.100476

In oil-based drilling fluid systems (OBM, for Oil-Based Mud) the oil phase is the major source of contamination and hydrocarbon pollution is, by far, the main concern. However, the release and accumulation of mud additives in the environment may be d... Read More about New HTHP fluid loss control agent for oil-based drilling fluid from pharmaceutical waste..