Digital Oil Field
This paper introduces an agentic artificial-intelligence framework designed for offshore production surveillance and intervention.
Reaching further than dashboards and data lakes, the agentic oil field envisions artificial intelligence systems that reason, act, and optimize.
This paper presents a robust workflow to identify optimization opportunities in gas lift wells through real-time data analysis and a surveillance-by-exception methodology.
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In addition to the well-recognized elements of digital transformation such as real-time monitoring, remote intelligence, and extraction of insights from data, there is a need to evolve the industry hardware through application of enhanced edge computing. -
A recent panel discussion highlighted the industry’s progress in achieving significant digital advances. Barriers remain, however, and the measurement of success is being defined in this evolving technological step change.
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SponsoredWhile more operators than ever are digitizing their operations, they also need to consider the advantages of selecting a scheduling software. This White Paper illustrates the benefits of selecting AI-powered scheduling software that properly addresses the total needs of a drilling program.
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This paper presents the basic concepts and architecture of the Eni Reservoir Electromagnetic Mapping borehole electromagnetic mapping system that integrates borehole EM methodology with surface EM methods to provide real-time mapping of reservoir-fluid distribution during production or injection.
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A volatile market, and a shift to more remote operations during the global pandemic has been a catalyst for demand for mIQroTech’s leak-detection technology
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The E&P subsurface sector today faces the lowest reserve replacement ratios in decades as well as an increasing need to maximize recoverable oil and gas from developed fields.
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An intelligent drilling optimization application performs as an adaptive autodriller. In the Marcellus Shale, ROP improved 61% and 39% and drilling performance, measured as hours on bottom, improved 25%.
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Logging-while-drilling remote operations has hit a wall. Since the outbreak of COVID-19, there is an increased demand for personnel with multidisciplinary skill sets to work on offshore rigs. But the demand cannot be satiated.
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The 5-year effort will take advantage of Microsoft technologies in machine learning, augmented reality, user interactions, and the industrial Internet of things to deliver integrated solutions to the upstream industry.
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A test showing that it’s possible to automate the billing process for produced water hauling has opened the door for tracking a wide range of field activities. The industry downturn brought on by COVID-19 has motivated big companies to test practical applications sooner.
