Data & Analytics
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.
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This paper describes the suite of cloud-based digital twin tools that the operator has developed and is integrating into its operations, providing online, real-time calculation of scale risk and deployed barrier health to manage risk on a well-by-well basis. -
There is no shortage of quantum technology applications in the upstream industry, from supply chain to well placement, making now the time to take it seriously.
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Technology uptake aimed at optimizing resources, delivering consistency, and augmenting what humans can do.
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The companies have finished a seismic survey of an underexplored area of the Bonaparte Basin offshore northwest Australia.
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Kongsberg Digital and other industry leaders see the arrival of artificial intelligence (AI) as a catalyst for major change in the office and in the field.
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Analytics company GlobalData has released a report, “Robotics in Oil and Gas,” that aims to provide an overview of robotics technology and its applications in the oil and gas industry, highlighting the role of major oil and gas companies in the development and adoption of robotics to enhance safety and productivity.
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Machine learning and a decade of gas composition records helped the operator identify wells that were most likely to produce paraffins.
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The companies plan to develop new artificial-intelligence-powered processes and workflows to optimize oil and gas production.
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Routine status reporting often presents a challenge because of its intimidating and time-consuming nature for both employees and supervisors. With large language models, a system was developed to generate coherent artificial-intelligence-driven reports. The goal is to enhance the understanding of overall insights and reduce the time required for individual report read…
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We’re thrilled to announce the launch of the 2025 SPE/JPT Drilling and Hydraulic Fracturing Technology Review. This exclusive, official publication will be distributed at three major SPE industry events.
