Data mining/analysis
In today’s era of asset management, digital twins are changing risk management, optimizing operations, and benefitting the bottom line.
Over decades of exploration and production, the oil and gas sector has accumulated vast amounts of legacy data in various formats. Artificial intelligence and machine learning present an opportunity to transform how this unstructured data is processed and used, enabling significant improvements in operational efficiency and decision-making.
A roundtable discussion during CERAWeek pointed to the necessity of a mindset shift for the oil and gas industry to tap into AI’s true potential.
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The November issues of SPE’s peer-reviewed journals SPE Reservoir Evaluation & Engineering and SPE Production & Operations include papers addressing data analytics and machine learning. -
The company used a maintenance optimization plan from Lloyd's Register for the centrifugal pumps and fire and gas detectors on a floating production, storage, and offloading vessel in the Norwegian Sea.
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YPF’s data analytics experts are eagerly seeking partnerships with oilfield operations experts who can help blend elegant data analysis with the messy reality of oil production.
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This work describes a heuristic approach combining mathematical modeling and associated data-driven work flows for estimating reservoir-pressure surfaces through space and time using measured data.
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The service company said it will make its data ecosystem available to the platform that is designed to bring together exploration, development, and wells data from across the industry. This will allow Schlumberger to integrate its solutions with its clients who have already joined the platform.
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ForeSite users will be able to create and visualize customized data reports or select from a series of built-in visualization dashboards and reports that monitor key performance indicators and identify production optimization opportunities.
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Merging tried-and-true physics-based models with data science is bolstering the Houston independent’s reservoir-engineering work on its deepwater and shale assets.
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This paper explains how an ultradeepwater drilling contractor is applying real-time analytics and machine learning to leverage its real-time operations center to improve process safety and performance.
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Fed by big data loads from big operators, a university consortium and software firm are each working to make upstream data access as quick and easy as a Google search.
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With new digital platforms and technologies driving the industry in the near future, organizations are examining the ways in which their established work flows may help or hinder their ability to adopt and adapt.
