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.
This study demonstrates the transformative potential of physics-informed neural networks as a hybrid framework for multiphase flow measurement.
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This paper describes a solutions hub that integrates engineering tools to maximize value and improve decision quality using recent digital technologies. -
Highlighting news on the recent SPE Board of Directors meeting in Saudi Arabia and SPE’s utilization of artificial intelligence now and its plans for the future.
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This paper proposes a series of work flows to simplify model deployment and set up an automatic advisory system to provide insight in justifying an engineer’s day-to-day engineering decisions.
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This paper presents an artificial intelligence algorithm called dual heuristic dynamic programming that can be used to solve petroleum optimization-control problems.
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This paper describes an approach implemented by the operator to solve research and development challenges by creating in-house infrastructure of both software and hardware.
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The new Kongsberg Discovery business area will turn the company’s sensors toward mapping and monitoring the ocean.
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Researchers with the Energy & Environmental Research Center highlight the key use cases ChatGPT holds today for petrotechnicals.
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A study from the International Association of Oil and Gas Producers shows the value of eye-tracking in well control operations.
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The company’s edge software allowed the remotely operated vehicle to operate autonomously without being tethered to a surface ship.
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The model is an industry standard template for operators to maintain land survey data, mainly acquired for the oil and gas industry.
