Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
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One of the foremost threats companies face today is that posed by cybercriminals, and the unique vulnerabilities of companies in the oil and gas sector create heightened cybersecurity risks for those pursuing transactions in the sector. -
The two companies have entered into a partnership to develop the oil and gas industry’s first methodology for qualifying the integrity of digital twin technology.
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What is the effect of the reservoir type on the application of AI and ML in reservoir and production modeling?
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Here are some thoughts on recent discussions around natural-language-processing transformer models being too big to put into production and a dive into how they have been shipped at Monzo using the HuggingFace library.
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The $43-million deal with Saipem will utilize a wireless underwater intervention drone and an ROV for intervention work on the Njord field in the Norwegian North Sea. Equinor said the contract is the first ever from an operator for advanced wireless drone services.
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The types of advancements made in real-time drilling data acquisition and processing are now on the doorstep of the North American completions sector. Technology developers are banding together under the umbrella of “coopetition” in a bid to change the way producers fracture tight reservoirs.
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This paper presents lessons learned regarding design, testing, and installation of a completely integrated managed-pressure-drilling (MPD) control system on a deepwater drilling rig.
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This work focuses on the development of specific methodologies to support managed-pressure-dilling (MPD) operations implemented on real-time diagnostic software.
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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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Seismic imaging provides vital tools for the exploration of potential hydrocarbon reserves and subsequent production-planning activities. The acquisition of high-resolution, regularly sampled seismic data may be hindered by physical or financial constraints.
