Publication Date: 2023/12/02
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.
Keywords: Artificial Lift, Failure, Run Life, Machine Learning, Pump.
DOI: https://doi.org/10.5281/zenodo.10251115
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV1545.pdf
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