SPE News
This paper presents a fundamental research study with the main objective of building a mechanistic numerical model that captures the important mechanisms of polymer flooding through various mechanistic equations using a combined reservoir flow and geochemical numerical simulator.
Forty-eight SPE student chapters around the world have been recognized with the 2025 Regional Outstanding Student Chapter Award.
The memorandum of understanding aims to foster knowledge exchange and seek synergies in technical activities and projects relevant to the oil and gas industry.
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This comprehensive review of stuck pipe prediction methods focuses on data frequency, approach to variable selection, types of predictive models, interpretability, and performance assessment with the aim of providing improved guidelines for prediction that can be extended to other drilling abnormalities, such as lost circulation and drilling dysfunctions. -
Amia Morgan, SPE, highlights this event designed to bring together students, young professionals, and seasoned industry experts to foster mentorship, inspire the next generation of STEM leaders, and promote inclusivity.
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Starting in May, the same trusted content will be available exclusively as web articles.
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C. Susan Howes is the nominee for 2027 SPE President. She and four others make up the new slate of nominees recommended for positions open on the SPE International Board of Directors.
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This section lists with regret SPE members who recently passed away.
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The second annual event included visits from two SPE Distinguished Lecturers and 2024 SPE President Terry Palisch.
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SPE has unveiled a new optional tagline—Solutions. People. Energy.—designed to emphasize the Society’s mission of sharing innovative solutions, empowering members, and addressing the global demand for sustainable energy.
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Nine companies, including one small business, were recognized this year for their demonstrated advancements in the industry.
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This paper introduces a novel optimization framework to address CO2 injection strategies under geomechanical risks using a Fourier neural operator-based deep-learning model.
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The energy-focused LLM project by Aramco Americas, SPE, and i2k Connect has entered the testing phase and is on track for licensing to operators later this year.
