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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This paper reviews clusters of information that will be termed “building blocks” for deepwater-field-development planning, discussing how they are currently used and exploring more-affordable, but technically robust, alternatives. -
With the availability of more-complex smart-well instrumentation, immediate evaluation of the well response is possible as changes in the reservoir or well occur.
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The complete paper evaluates optimization techniques to develop, or support, business cases for intelligent or smart wells.
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An industry expert said that workforce education will be critical to helping companies adapt to a changing data landscape and optimize their operations.
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SPE’s newly launched technical section will provide a central hub for questions, answers, discussion, collaboration, and networking around unmanned systems for the oil and gas industry.
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Honeypots and pen testers. If these terms are unfamiliar, you’ll want to learn their roles in the safekeeping of critical evaluation and operational data in oil and gas activities, from the reservoir to the well pad to pipelines.
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Atos, a global leader in digital services, and Siemens, a global engineering leader, announced that they have entered into a memorandum of understanding and will leverage their portfolios to help customers establish an integrated first line of defense against cyberattacks.
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An investigator from the US National Energy Technology Laboratory examines the role remotely operated vehicles played in flow rate estimation from the Macondo well.
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Industry CIOs examine the challenges operators and service companies face in understanding cybersecurity threats.
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A real-time production-surveillance and -optimization system has been developed to integrate available surveillance data with the objective of driving routine production optimization.
