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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The complete paper discusses optimization of a development plan involving low-salinity water injection. -
Decline-curve analysis is one of the more widely used forms of data analysis that evaluates well behavior and forecasts production and reserves. This paper presents technologies that apply DCA methods to wells in an unbiased, systematic, intelligent, and automated fashion.
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The complete paper describes the development of the “digital field worker” at Johan Sverdrup, an initiative that has changed the approach toward not only construction and completion but also operations.
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The Norwegian company completed what it describes as the world’s first logistics operation with a drone to an offshore installation.
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Equinor said drones could reinforce safety, boost production efficiency and contribute to lower CO2 emissions from Norwegian oil and gas
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The 3-year contracts were awarded to Solstad, OceanPact, and Fugro.
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Using 3D and artificial intelligence technologies, a digital map of all three bridge-linked jackets was captured, enabling Neptune to detect asset-integrity issues early and plan fabric maintenance work on Cygnus.
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In this 30-minute interview, Angela Dang Atkinson, a data scientist with Cognite, talks about what skills beyond technology new petroleum engineers need and what challenges they will face in the digital oil field.
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Weatherford will embed INT’s IVAAP framework into the Weatherford Centro digital well delivery software, advancing its data-visualization capabilities.
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As companies begin to embrace the concepts of digitalization and big data, the main challenge remains: How do we make a step change in reducing human error in heavily paper-based operating and maintenance procedures?
