Data & Analytics
Gautam Swami, manager of corporate R&D at NOV and SPE member, shares his experiences in building a career in oil and gas R&D, discusses how innovation is shaping the industry, and offers guidance to young professionals.
The multiplayer training platform developed by the Texas A&M Mary Kay O'Connor Process Safety Center and EnerSys Corp. uses artificial intelligence and gaming technology to simulate pipeline emergencies.
The report highlights the fast evolution of AI with better performance, bigger investment, and rising global optimism. But job concerns, education gaps, and environmental costs reveal a more complex picture.
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Integrating financial and HR expertise boosts profitability, reduces operational risks, and enhances long-term planning—empowering HR to tackle sector-specific challenges like budget constraints and talent shortages more effectively. -
The data include high-resolution spatial layers for environmental research, monitoring, and geospatial analysis.
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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.
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Although 92% of energy companies say they plan on digital technology investments, only 27% currently retrain and reskill existing employees to meet the upcoming demand, according to a recent survey from Ernst & Young.
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The company is investing $1 billion to establish the Engineering and Innovation Excellence Center (ENGINE) in Bengaluru, India.
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The department was established in October with $3 million in funding from Anuradha and Vikas Sinha and aims to advance data science education, research, and career development.
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Yujing Du made history as she was named The University of Tulsa's first female petroleum engineering faculty member in January. In this Q&A, she discusses the role of petroleum engineering in the global energy transition, diversity in STEM, and strategies for supporting women in the energy sector.
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On long-term trends, most things in the world are getting better, but gradual improvements don't make the news.
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Subsurface modeling and history matching are critical steps for driving decisions. Generative artificial intelligence can support these efforts by incorporating various sources of information and allowing for low-dimensional parameterization for history matching.
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TWA editors met with Satyam Priyadarshy, a technology fellow and chief data scientist at Halliburton, about how young professionals can prepare themselves for the application of data science in their work and how to approach problems and challenges.
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