Data & Analytics
This article explores the integration of hydrogen into existing natural gas infrastructure and introduces practical solutions, including the application of machine learning models, to support decision-making and infrastructure adaptation in the energy transition.
Artificial intelligence is transforming—not replacing—petroleum engineering. As AI-driven, data-centric methods replace traditional deterministic models, engineers must adapt by acquiring skills in data science, algorithmic thinking, and software tools. The industry’s evolution raises a critical question: Will petroleum engineers evolve with these changes or risk beco…
This research developed a clear framework for assessing and selecting fit-for-purpose software. The study focuses on the role of a data-driven approach in the decision process, with application to operational software systems in the oil and gas industry.
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The SPE Gulf Coast Section Data Analytics Group and Fervo Energy invite you to participate in the Machine Learning Challenge 2025 on 21 March. -
The portal includes SPE resources like OnePetro, PetroWiki, JPT, Energy Stream, and SPE journals which can be easily searched using i2k Connect's AI-driven technology.
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Experts from various fields met to discuss the role of AI in the energy transition and its challenges including high energy consumption and carbon-intensive infrastructure requirements.
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Join TWA Editorial Board member Md Imtiaz as he interviews ONGC’s Western Offshore Asset Executive Director Ravi Shankar.
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As the pace of data collection accelerates in the oil and gas industry, the ability to understand and perform statistical analysis becomes increasingly valuable. Professionals who lack a background in statistics can focus on key concepts to improve their understanding.
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Join TWA's Mrigya Fogat as she interviews four of the 2024 TWA Energy Influencers in this Get to Know series.
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Five key themes to AI's success including standardization, automation, integration, scalability, and continuous improvement can provide a clear roadmap for effective AI deployment, addressing challenges and driving sustainability across the subsurface energy sector.
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Tune in 28 October for a discussion with SPE Technical Directors about the future of data science for professionals in the energy sector.
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We’re thrilled to announce the launch of the 2025 SPE/JPT Drilling and Hydraulic Fracturing Technology Review. This exclusive, official publication will be distributed at three major SPE industry events.
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The SPE Europe Energy GeoHackathon aims at educating and disseminating knowledge to all the participants on how data science applications can support geothermal energy developments and drive the energy transition. Boot camps begin 21 October.
