Data & Analytics
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.
This paper presents an automated workflow deployed for scheduling and validating steady-state production-well tests across more than 2,300 wells in the Permian Basin.
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The company has announced that it will be expanding the use of generative AI to assist its employees. -
Energy companies now can get more oil out of the ground using vast amounts of data that makes their offshore exploration more accurate, using a satellite uplink to transmit the data from oil rigs up to space and then off to the cloud.
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The US has had a lackluster response to the emergence of the technology, currently lacking any comprehensive roadmap for adoption, which translates into a low adoption rate.
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The advancement of the oil and gas industry hinges on its ability to transform digitally by applying high-quality data to illuminate its path forward.
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Case studies provide evidence of achievements in corporate sustainability while pursuing the adopted United Nations Sustainable Development Goals, thus highlighting the possibilities made available by digital twin technology.
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The two companies will combine their software efforts to help measure, monitor, and report emissions.
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When it comes to new projects, the technology helps companies try virtually before they buy in to the venture or commission the undertaking, as well as address any design changes or flaws.
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The three companies have signed an agreement for Shell to use SLB software on the Amazon Web Services cloud with work flows using OSDU standards.
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This paper presents the concept of a supervisory and advisory system dedicated to support the detection of abnormal events and to provide guidelines for fluid treatment.
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In this paper, the authors present data analyses to comprehensively evaluate the performance of a steady-state multiphase-flow point model in predicting high-pressure, near-horizontal data from independent experiments.
