Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
Novel lift systems, AI-driven automation, and real-time engineering models are helping operators extract more value from mature wells.
This case study from Tomax outlines the use of artificial intelligence to analyze high-fidelity data of the full drilling process.
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The service company announced that it will collaborate with Amazon Web Services to deploy its software, anchored by its Delfi Petrotechnical Suite, in the cloud. -
Amir Husain sat down with OTC Live to present the trajectory of artificial intelligence and how it will change the face of oil and gas.
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The risk-management firm is teaming up with academia and a robotics specialist for a research project focused on automatic processing of data gathered by autonomous and remote-controlled vehicles.
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Fuel is being delivered to the US East Coast again after hackers infiltrated the company’s operation. Colonial reportedly paid a $5-million ransom.
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Colonial Pipeline shuttered its East Coast fuel pipeline system as data were hacked and held for ransom.
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The conventional wisdom about artificial intelligence is that bigger is better. But enormous neural networks come with some costs, including making it difficult for researchers to figure out how and why the software makes its predictions and decisions.
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Big data analytics is a big deal right now in the oil and gas industry. This emerging trend is on track to become an industry best practice for good reason: It improves exploration and production efficiency.
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A lot has been learned about shale, but those working to eke out oil from that ultratight rock still extract more value from data than physics.
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SponsoredThe OSDU™ Data Platform has the potential to significantly increase the interoperability of E&P data. Find out how IHS Markit is supporting adoption of the standards-based data ecosystem through its Enterprise Data Management (EDM) for Energy platform.
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The last year has seen people in many sectors unexpectedly confronting a new challenge—working remotely. Even before this, our industry has been trying to operate fields remotely (either partially or fully) and make operations smarter and more automated.
