Data management
A roundtable discussion during CERAWeek pointed to the necessity of a mindset shift for the oil and gas industry to tap into AI’s true potential.
The authors make the case that data science captures value in well construction when data-analysis methods, such as machine learning, are underpinned by first principles derived from physics and engineering and supported by deep domain expertise.
A recent survey conducted by Rackspace Technology reveals new attitudes about using the cloud, including a change from using the public cloud to using private, on-site clouds or a hybrid of the two.
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The international energy company will use Amazon Web Services to reduce IT infrastructure costs and develop systems for carbon removal plants. -
The high-speed, low-latency communication offered by 5G is enabling real-time data transmission and remote control of operations, thereby reducing the need for human presence in hazardous areas.
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The industry's increasing dependence on digital systems has escalated the importance of robust cybersecurity strategies, presenting an array of unprecedented challenges.
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The Brazilian major said it plans to integrate the software throughout its exploration, development, and production operations.
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The US-based drilling contractor is buying the drilling technology company just three weeks after announcing a merger with NexTier Oilfield Solutions.
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Whether inconsistent, incomplete, ambiguous, or just plain wrong, bad data is a big barrier to digital transformation.
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The Landmark DecisionSpace Geosciences software aims to incorporate geoscientists into the company’s digital work flow.
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This paper describes an approach implemented by the operator to solve research and development challenges by creating in-house infrastructure of both software and hardware.
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The model is an industry standard template for operators to maintain land survey data, mainly acquired for the oil and gas industry.
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For organizations that do it well, data management provides a competitive edge in an increasingly digital oil field. But teams all too often are so busy managing all the moving parts of data management that they take their eye off of “the prize”—the payoff after you have put everything into place to sustain successful data management.
