Digital Transformation
Digital transformation in the oil and gas industry is likened to a major home renovation—requiring a clear vision, skilled collaboration, patience, and investment in lasting solutions. Though the process is challenging, the end goal is an improved, future-ready operation.
Students at the Melbourne, Australia, university took home first place at the 32nd US-based Intelligent Ground Vehicle Competition.
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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Grab a pen and paper and settle in for Part 1 of a four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study. -
The future of oil and gas technologies seems promising and full of opportunities from a young professional’s perspective. The floor is wide open for disruptive inventions that can significantly optimize operations.
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Data validation is not a direct out-of-the-box process and requires planning and even budgeting, but high-quality data can save your time, money, and effort.
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"Digital gives you superpower...volunteering makes you a superstar," says Josh Etkind while sharing his insights on digital transformation and his vision as SPE Gaia chair.
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The enthusiasm for AI practice is growing rapidly across all industries. This article gives a brief overview of AI's key elements.
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A key part of the energy ecosystem is the trading of commodities and the freight that transports them. Throughout this process, optionality allows traders to find opportunities and create value for their respective businesses.
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The SPE Research Portal uses artificial intelligence technology, fortified by industry knowledge, to address the long-term challenges of finding and analyzing information in unstructured data.
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In the ongoing digital transformation in the industry, it's not enough if we only adapt and improve data-processing capabilities; we should also empower human interaction, study, engagement, and collaboration through the use of that data.
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A workforce with the right know-how to maximize the tools being used or investigated in the industry is a critical feature to support a clear route forward.
