A summary of artificial lift failure, remedies and run life improvements in conventional and unconventional wells.

Mahdi, Mohaned Alhaj A.; Amish, M.; Oluyemi, G.; Abdulmoniem, Mohammed

Abstract

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 the causes behind them. The article discusses the traditional methods of identifying and mitigating these failures and highlights the need for new designs and technologies to improve the run life of AL systems. Advances in AL system design and materials, as well as new methods for monitoring and predicting failures using data analytics and machine learning techniques, have been discussed. The findings of this work provide valuable insights for researchers and practitioners in the development of more reliable and efficient AL systems.

Citation

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

• Journal Article Type: Article
• Acceptance Date: Dec 2, 2023
• Online Publication Date: Dec 2, 2023
• Publication Date: Nov 30, 2023
• Deposit Date: Dec 15, 2023
• Publicly Available Date: Dec 15, 2023
• Journal: International Journal of Innovative Science and Research Technology
• Electronic ISSN: 2456-2165
• Publisher: IJISRT
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 11
• Pages: 1589-1596
• DOI: https://doi.org/10.5281/zenodo.10251115
• Keywords: Artificial lift; Failure; Run life; Machine learning; Pump
• Public URL: https://rgu-repository.worktribe.com/output/2166011