Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
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Analytics, sensors, and robots are changing the way one of the world’s largest oil and gas companies does business. Underpinning all the new technology though is a shift in how BP thinks, and what it means to be a supermajor in the 21st century. -
Digitalization and new technologies are disrupting old practices and shaping a new safety landscape for the oil and gas industry. At OTC, a panel sponsored by the Center for Offshore Safety looked at the effects of some of these new technology trends.
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The partnership opportunity is designed to spur the development of next-generation tools and technologies that will become widely adopted throughout the energy sector to reduce the risk that a cyber incident could disrupt the country’s energy system.
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Data science and decision science are related but still separate fields, so, at some points, it might be hard to compare them directly. This article attempts to show the commonalities, differences, and specific features of data science and decision science.
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The technologies born out of innovative ideas have been critical for advancing deepwater assets in the past, and venture-capital investment helps incubate risk-taking companies developing those technologies. With digitization becoming a greater focus in industry, what role will venture capital play?
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Advances in robotics can revolutionize the way maintenance, inspection, and testing is performed, making operations safer by reducing exposure of personnel to hazards. This paper analyzes the causes of slow industry adoption of robotic technologies and presents a roadmap for accelerated adoption.
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Maybe we don’t need to look inside the black box after all. Maybe we just need to watch how machines behave, instead.
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Robots may not be ready to take over the world just yet, but they are making great strides in the offshore industry. A technical session at this year’s Offshore Technology Conference presented some of the advances, including untethered ROVs and subsea broadband communications.
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Adoption of digital technologies will continue to improve the offshore sector, including improved well efficiency, real-time directional drilling, lower maintenance costs, and safer operations.
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As the oil and gas industry moves more into the machine learning space, Python-conversant petroleum domain specialists will prove to be increasingly valuable to organizations.
