Flow assurance
This case study from Italian technology developer Sentris highlights the effectiveness of using sensors during pigging operations to optimize cleaning efficiency.
The objective of this study is to field test a non-nuclear multiphase flowmeter and assess its performance under challenging operating conditions.
For more than a century, LSU has shaped petroleum engineering education, but few assets showcase its impact like the PERTT Lab. With six deep test wells and rare reservoir-depth gas-injection capabilities, the facility is helping drive breakthroughs in well control, carbon-dioxide injection, and next-generation energy technologies.
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This study contributes to enhancing the understanding of scale-inhibitor retention in rock formations. -
In the wake of the falling number of exploratory wells in the country, Brazil-owned Petrobras addressed audience concerns as well as outlined new avenues for production at the Offshore Technology Conference.
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This paper describes a case history in the UAE in which the cleanout of scale contaminated with naturally occurring radioactive material was conducted successfully.
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The authors of this paper describe a project to develop a virtual sensor to monitor the cooling effect downstream of a subsea choke to avoid hydrate plugs during cold-start operations.
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Subject-matter experts from industry and academia advanced distributed fiber-optic sensing technologies and their implementation in flow measurement during a special session.
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This paper reports the observation of stealth asphaltenes, a potential flow-assurance issue, by means of experimental analysis.
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This year’s Flow Assurance Technology Focus provides a trio of papers concerning the use of advanced techniques in detection, mitigation, and risk calculation
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This study investigates hydrate formation in a water-alternating-gas injection well under water-to-gas and gas-to-water changeover operations.
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This paper describes the suite of cloud-based digital twin tools that the operator has developed and is integrating into its operations, providing online, real-time calculation of scale risk and deployed barrier health to manage risk on a well-by-well basis.
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Machine learning and a decade of gas composition records helped the operator identify wells that were most likely to produce paraffins.
