AUTOMATED PRE-SCREENING METHOD FOR PRODUCTION ENHANCEMENT USING ELECTRICAL SUBMERSIBLE PUMP IN MALAYSIA’S OFFSHORE BROWN FIELDS

Authors

  • T.C. Segaran Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia.
  • M.A.M. Sidek Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia.
  • K. Trajangganung Mise Energy Sdn.Bhd., Kuala Lumpur, Malaysia.
  • I.I. Kamaruddin Mise Energy Sdn.Bhd., Kuala Lumpur, Malaysia.
  • M.A.S. Ahnap Mise Energy Sdn.Bhd., Kuala Lumpur, Malaysia.

DOI:

https://doi.org/10.54554/jet.2024.15.02.011

Keywords:

Automation, Data Analysis, Data Digitalization

Abstract


With over 80% of Malaysia's fields using gas lifts, tackling late-life challenges is crucial for maintaining oil production. Issues like gas lift gas shortages, aging infrastructure, and rising water cuts limit efficient oil recovery, prompting the search for alternative lift technologies. Replacing gas lift systems is complex, making it essential to streamline candidate identification. This study proposes an automated pre-screening approach to quickly evaluate candidates, reducing the time and effort needed to process numerous wells. The system, tested with data from Fields B, D, and S, pre-screens strings to identify opportunities for detailed analysis. By digitizing this process, automation narrows down potential candidates for electrical submersible pump (ESP) design, economic assessment, and other enhancements, saving time and broadening candidate selection. This method extends to acid stimulation, gas lift optimization, and water shut-off candidates, revolutionizing the process and improving decision-making for production enhancement activities.

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Published

2024-12-31

How to Cite

Segaran, T., Sidek, M., Trajangganung, K., Kamaruddin, I., & Ahnap, M. (2024). AUTOMATED PRE-SCREENING METHOD FOR PRODUCTION ENHANCEMENT USING ELECTRICAL SUBMERSIBLE PUMP IN MALAYSIA’S OFFSHORE BROWN FIELDS. Journal of Engineering and Technology (JET), 15(2), 179–188. https://doi.org/10.54554/jet.2024.15.02.011

Issue

Vol. 15 No. 2 (2024): JOURNAL OF ENGINEERING AND TECHNOLOGY

Section

Articles

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