Dr Mohamed Amish's Outputs (7)

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..

Models of work-based learning with examples of practice in petroleum engineering: a university-employer partnership. (2023)
Presentation / Conference Contribution
AMISH, M., JIHAN, S. and WYATT, A. 2023. Models of work-based learning with examples of practice in petroleum engineering: a university-employer partnership. In Proceedings of the 4th Global conference on education and teaching (GLOBALET 2023), 21-23 April 2023, Athens, Greece. Vilnius: Mokslines Leidybos Deimantas (Diamond Scientific Publishing) [online], pages 33-49. Available from: https://doi.org/10.33422/4th.globalet.2023.04.103

Work-based learning (WBL) is a collaborative tool employed by educational institutions and industry to educate and develop their students or workforce in all three strands of learning: for, at, and through work. This paper presents petroleum engineer... Read More about Models of work-based learning with examples of practice in petroleum engineering: a university-employer partnership..

Developing collaborative online project-based learning model to enhance learning in engineering. (2023)
Presentation / Conference Contribution
AMISH, M. and JIHAN, S. 2023. Developing collaborative online project-based learning model to enhance learning in engineering. In Proceedings of the 4th Global conference on education and teaching 2023 (GlobalET 2023), 21-23 April 2023, Athens, Greece. Vilnius: Diamond scientific publishing [online], pages 59-75. Available from: https://doi.org/10.33422/4th.globalet.2023.04.105

It has been widely reported that knowledge and skills gained in formal Higher Education Institute courses are different from those required at work. Students lack soft skills, according to feedback from employers. Many universities have become proact... Read More about Developing collaborative online project-based learning model to enhance learning in engineering..

Integrated data analysis approach to select artificial lift method using machine learning. (2023)
Thesis
MAHDI, M.A.A. 2023. Integrated data analysis approach to select artificial lift method using machine learning. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2571156

The optimisation of artificial lift (AL) selection in the oil and gas industry stands as a critical endeavour, directly impacting production efficiency, cost-effectiveness and overall operational success. Traditional AL selection methods rely on engi... Read More about Integrated data analysis approach to select artificial lift method using machine learning..

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..