Data & Analytics
Proxy models are transforming reservoir management by enabling engineers to rapidly evaluate and optimize thousands of operating scenarios, helping improve CO2-EOR, carbon storage, geothermal, and underground gas storage decisions while keeping high-fidelity reservoir simulation at the core of validation.
In this interview, Sushma Bhan, energy data, AI leader, and technical director of the SPE Data Science and Engineering Analytics Technical Section, shares lessons from 3 decades at Shell, discussing digital transformation, the future of AI in upstream operations, leadership development, and career advice for the next generation of energy professionals.
Texas A&M Researchers To Develop AI-Powered Drilling System To Accelerate Critical Mineral Discovery
Backed by a $3.5 million US Department of Energy grant, Texas A&M researchers are developing an AI-enabled drilling system that can identify critical minerals in real time, reducing exploration time and costs for rare earth element deposits.
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In Part 2 of this three-part series, we dive into a practical example using the production data of Equinor’s Volve field data set. -
In Part 1 of this three-part series, we use long short-term memory (LSTM), a machine learning technique, to predict oil, gas, and water production using real field data.
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Register today for the SPE AI Hackathon taking place 7–9 May in Dubai.
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The Unmanned Technical Section has updated its name to the Robotics and Autonomous Systems Technical Section.
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The oil and gas industry’s sustainability and success depend on its ability to cultivate and nurture a skilled and knowledgeable workforce.
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This article provides a mirror between the past and the present of well intervention technologies, including R&D to advance to downhole robots and autonomous intervention methods.
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Registration is open for the SPE Europe Energy GeoHackathon, which will be held in October and November. It will be preceded by 4-week online bootcamp sessions on data science and geothermal energy, which will begin on 2 October.
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Explore the challenges associated with fiber-optics data analysis and how recent advances in technology can be leveraged to maximize the value of the data.
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Join Serkan Dursun, Saudi Aramco, and Salem Algharbi, SDAIA, as they explore the capabilities and limitations of large language models GPT-3 and GPT-4 and ChatGPT and discuss their potential applications in the oil and gas industry.
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SPE and Project Innerspace are organizing the first Geothermal AInnovation Competition. Teams from around the world are invited to participate in this virtual competition aimed at showcasing the potential of AI-assisted work flows in the geothermal life cycle.
