Data & Analytics
Digital transformation in oil and gas depends less on adopting advanced technologies and more on maturing data so people and processes can reliably convert raw information into aligned, asset-level value.
As global electricity demand surges, driven by AI, digitalization, and electrification, offshore innovation, spanning oil and gas, renewables, nuclear, and data infrastructure, will be critical to delivering a cleaner, more resilient energy future.
Agentic AI can enhance subsurface workflows when its autonomy is deliberately designed around physics, data integrity, and accountable decision-making through architectures that separate reasoning, computation, interpretation, and validation.
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Mineralogical, mechanical, and flow complexities in major US shale plays are tightly linked, making traditional 1D modeling inadequate. Emmanuel Obasi, SPE, addresses this with a physics-informed ML approach detailed in this article. -
Secondary and tertiary efforts are critical for sustaining the productive lives of unconventional plays.
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The SPE Ecuador Section brought the excitement of robotics and energy education to life through an intensive 1-day Energy4me training, reaching 1,324 children from rural Quito.
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The university will join a small number of institutions in the US offering an undergraduate degree focused exclusively on artificial intelligence.
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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.
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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.
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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.
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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.
