Dr Mohamed Amish's Outputs (18)

Enhancing employability through collaborative project-based learning. (2025)
Journal Article
AMISH, M. 2025. Enhancing employability through collaborative project-based learning. International journal of innovative science and research technology [online], 10(1), pages 1923-1932. Available from: https://doi.org/10.5281/zenodo.14831458

There is a gap between the skills taught in higher education and those needed in the workplace, with employers often finding engineering graduates lacking in soft and digital skills. Traditional university courses may not adequately prepare students... Read More about Enhancing employability through collaborative project-based learning..

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..

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..

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..

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..

Developing a technology to design a collaborative online project-based learning model. (2022)
Presentation / Conference Contribution
AMISH, M. 2022. Developing a technology to design a collaborative online project-based learning model. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

This poster describes a project that aimed to develop technology that would support the design of collaborative online project-based learning within the RGU School of Engineering. Project-based learning is reported to help students develop soft skill... Read More about Developing a technology to design a collaborative online project-based learning model..

University-employer partnerships: petroleum engineering work-based learning models using adopted Merrill's first principles of instruction. (2022)
Presentation / Conference Contribution
AMISH, M. 2022. University-employer partnerships: petroleum engineering work-based learning models using adopted Merrill's first principles of instruction. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

This poster describes models for work-based learning used by the petroleum engineering industry, in partnership with the RGU School of Engineering. The reasoning and impact of such models are evaluated, and reflections made on their benefits.

Developing a virtual engineering lab using ADDIE model. [Poster] (2022)
Presentation / Conference Contribution
AMISH, M. 2022. Developing a virtual engineering lab using ADDIE model. Presented at the 2022 RGU annual learning and teaching conference (RGU LTC 2022): enhancing for impact, 21 October 2022, Aberdeen, UK.

This poster describes a project in RGU's School of Engineering that aims to develop a complete learning management product that will aim to address the limitations of hands-on laboratories and meet students' growing expectation for seamless integrati... Read More about Developing a virtual engineering lab using ADDIE model. [Poster].

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..

Drilling fluids filtration and impact on formation damage. [Supplementary data] (2004)
Data
AMISH, M.B. 2004. Drilling fluids filtration and impact on formation damage. [Supplementary data]. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/2830062

Three major methods that the production engineer uses to quantify formation damage in terms of well performance based on the total skin factor after drilling operations are: production logging, flow measurement and well test data. The total skin fact... Read More about Drilling fluids filtration and impact on formation damage. [Supplementary data].

Drilling fluids filtration and impact on formation damage. (2004)
Thesis
AMISH, M.B. 2004. Drilling fluids filtration and impact on formation damage. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2807277

Three major methods that the production engineer uses to quantify formation damage in terms of well performance based on the total skin factor after drilling operations are: production logging, flow measurement and well test data. The total skin fact... Read More about Drilling fluids filtration and impact on formation damage..