Data management
The Regulators’ Pioneer Fund has provided the North Sea Transition Authority with funding for two data work streams—a data viewer and an AI chatbot—to facilitate access to the vast amounts of North Sea data.
Industry experts dissected the challenges in deploying artificial intelligence across the energy sector during a special session at SPE’s Annual Technical Conference and Exhibition.
AI is transforming the field of cybersecurity, offering new possibilities and challenges for both defenders and attackers, but AI also can introduce new vulnerabilities and risks and raise new ethical, legal, and social issues for cybersecurity.
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The authors describe an integrated geological-engineering data-management project covering all aspects of well-engineering work flows. -
The paper demonstrates the application of an interpretable machine-learning work flow using surface drilling data to identify fracable, brittle, and productive rock intervals along horizontal laterals in the Marcellus shale.
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SponsoredAre you ready? Data is an enterprise asset, underlying your ability to deliver on your commitments. But are you deploying it in ways that serve your strategic goals? Datagration makes the case for changing how you think about data management.
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SponsoredIntense global competition, explosive market dynamics and the industry’s energy transformation are all creating business strains not seen in decades. Harness information produced during the lifecycle to extract valuable insights and attain management excellence.
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The recent cyberattack on Colonial Pipeline’s IT system has thrust the issue of oil and gas industry cybersecurity into the spotlight, which, according to specialists in the field, is where it should always be.
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The new data-management platform is designed to increase access to energy data.
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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 paper discusses a methodology for integrating intelligent completion and production systems with a modeling and analytics framework for efficient development of fiber-optic-based data-interpretation services for complex downhole environments.
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Smaller and independent upstream companies often have limited resources for data management. Nonetheless, their data are valuable and must be managed for that value to be realized. Geologists may just be in the perfect position to do the job, if they can get the training.
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The digital repository will use a hybrid cloud architecture to provide subsurface data for the Norwegian Petroleum Directorate.
