Digital Transformation
In an industry that rarely slows down, memory can be a powerful engineering tool. Not in terms of nostalgia, but in perspective. Many of the activities that constituted daily operations have been so deeply transformed that new generations of engineers may never have experienced them before.
This article explores how AI is transforming oil and gas operations, including its real impact on methane reduction, predictive maintenance, energy efficiency, and whether it truly delivers measurable sustainability gains or just adds complexity.
AI is evolving into a practical tool that helps geoscientists and engineers work faster, evaluate more opportunities, and manage subsurface uncertainty.
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Acquiring data from an abandoned subsea well has been done before, but never quite like this.
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Microsoft deployed a datacenter underwater near Scotland’s Orkney Islands, as part of a project to assess bringing datacenters closer to population centers.
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Wearable computers are turning heads in the oil and gas industry and appear to be on a trajectory for widespread adoption.
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Data story consumers are focused on summarized results and highlights instead of details of the analysis. It’s a data scientist’s responsibility to identify the significance of the data and to present it in a simple but scientific manner.
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More than 400 students from 20 SPE student chapters across the US, Mexico, and Canada gathered at the annual SPE North America Student Symposium (NASS) held at Louisiana State University in Baton Rouge during 21–24 February.
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The fourth industrial revolution, or Industry 4.0, has the potential to disrupt every industry, including the oil and gas industry through large-scale automation, robotics, artificial intelligence, and big data analytics. Young professionals (YPs) will be the main engine responsible for the development of many Industry 4.0 technologies in the oil and gas industry. Thi…
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NUS Engineering is working on a hybrid UAV, which combines the features of a helicopter and an airplane.
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Statoil's Acting head of Digital Centre of Excellence shares the company's digital road map.
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The data science, machine learning, and artificial intelligence fields do have a great deal of overlap, but they are not interchangeable.
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BHGE shared its plans for the integration of its services, products, and digital platforms for upstream to downstream applications.