Data & Analytics
Autonomous drilling through managed pressure drilling (MPD) at the Atlantis field has given the operator confidence to scale the method.
The cloud platform provider said the initiative is designed to help energy companies manage and analyze large-scale operational data.
Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
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TGS, BGP, and CGG signed an agreement with state-owned Staatsolie to acquire, promote, and license multiclient seismic programs, including new 3D acquisition, in the shallow waters offshore Suriname. -
Innovative oil and gas companies are leveraging blockchain, but the industry as a whole may be slow to adopt the technology.
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The event aims to educate energy professionals on data science and have them use those skills on the challenges of geothermal energy.
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In an increasingly data-dependent sector, oil and gas companies need to scale up their use of technology across the enterprise rapidly. Success will involve reframing the CIO’s role in driving not only digital transformation but also business outcomes.
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The ethics of artificial intelligence (AI) has become an important topic in the application of AI and machine learning in the past several years. This second part of a two-part series presents the relevance and use of the ethics of AI in engineering applications. Part 1 explains the evolution and importance of AI ethics.
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Blockchain has moved past its status as a niche technology and now is being looked at as one that can transform many traditional industries by bringing digital automation, security, and potentially large cost savings. Shareholders have been pushing oil and gas businesses to cut expenses while increasing earnings, putting them under pressure. Blockchain can help the oi…
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SponsoredUnconventional wells produce massive amounts of data across a multitude of systems. Bringing all this data together increases efficiency, speeds screening, enhances smart decision-making, and ultimately returns greater production. Learn how PetroVisor can help.
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The authors develop a data-driven approach, enabled by machine learning, to find an optimal operating envelope for gas-lift wells.
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The authors describe an integrated geological-engineering data-management project covering all aspects of well-engineering work flows.
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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.
