Well integrity/control
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.
This study identifies critical knowledge gaps in wellbore integrity and underscores areas that require further investigation, providing insights into how wellbores must evolve to meet the technical demands of the energy transition.
This study illustrates the new capabilities, tailored for carbon-dioxide storage applications, of a modeling framework that provides a quantitative, risk-based assessment of the long-term integrity of legacy plugged and abandoned wells.
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This paper presents a novel application of artificial intelligence in computer vision for automating blowout-preventer pressure-chart-data extraction, demonstrating significant efficiency gains and a high return on investment. -
Two critical facets of the discipline of well control and wellbore integrity—decarbonization and groundbreaking automation of essential processes—are highlighted in the three primary paper selections presented at SPE and SPE-affiliated conferences during the past year.
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This paper describes an automated workflow that helps mitigate sanding caused by excessive drawdown by determining the minimum tubinghead pressure.
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Intelligent completions could improve many of the world’s oil and gas wells, but not all are suited to the technology. There is another option.
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This paper presents the characterization and comparison of a metakaolin-based geopolymer as a candidate treatment for remedial operations in oil and gas wells versus conventional state-of-the-art materials.
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This paper describes the development of a method of predicting drillstring-friction coefficient during tripping operations that can be used for early warning of stuck pipe.
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This paper proposes a time-series analysis approach to build a reliable, easy-to-use tool to automatically detect stuck pipe accurately and early.
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This paper presents a novel methodology that merges principles of physics, data science, and uncertainty modeling to offer more-resilient and -precise solutions for managing real-time pipe-sticking occurrences
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This paper presents a comprehensive literature review of perforate, wash, and cement techniques that compares new methods with traditional ones and uses field cases and computational fluid dynamics to find the most cost- and time-effective practices without sacrificing safety.
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New strides in computer vision, well controls indicators, and BOP alignment were showcased at the recent Offshore Technology Conference.
![JPT_2025-09_GuestEd1_SS_382853197[4].jpg](https://assets.spe.org/dims4/default/860913d/2147483647/strip/true/crop/850x475+0+46/resize/365x204!/quality/90/?url=http%3A%2F%2Fspe-brightspot.s3.us-east-2.amazonaws.com%2F8a%2F95%2Fe4e82cb54fd597d497a5b1267f8a%2Fjpt-2025-09-guested1-ss-3828531974.jpg)
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