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 research addresses the bottlenecks experienced in supply-chain management (SCM) in an African hydrocarbon company. These bottlenecks slow down processes and make the procedures tedious, leading to operational inefficiencies. This paper discusses the security of the SCM data and the overall automation of the procurement value chain, providing transparency to the s… -
A recent mission that saw the robot submarine Autosub Long Range, better known as "Boaty McBoatface," explore and visually map end-of-life oil fields has been hailed as a success.
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Large geological models are needed for modeling the subsurface processes in geothermal, carbon-storage, and hydrocarbon reservoirs. The size of these models contributes to the computational cost of history matching, engineering optimization, and forecasting. To reduce this cost, low-dimensional representations need to be extracted. Deep-learning tools, such as autoenc…
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The new Methane Alert and Response System initiative aims to scale up global efforts to detect and act on major emission sources in a transparent manner and accelerate implementation of the UN’s Global Methane Pledge. The system is designed to alert governments, companies, and operators about large methane sources to aid rapid mitigation.
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Methods inspired by artificial intelligence and software development help generate more ideas that add more value.
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Feeding better battery storage with the energy produced by cleaner sources such as solar panels and wind turbines is not a new idea. But are good ideas enough? Or could AI be the answer to unlocking the true value of the next generation of solar and energy innovations?
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This paper shares details of 2 years of monitoring the first commingled updip smart water injector drilled in the Piltun area of the Piltun-Astokhskoye offshore oil and gas field.
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A consortium of 20 organizations, REX-CO2, including research institutions, operators, and regulatory authorities, studied mature wells in two areas of the UK Continental Shelf. Subsurface data were evaluated and verified the wells’ potential suitability for both reuse and CO2 injection and storage.
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This paper discusses a waterflood optimization system that provides monitoring and surveillance dashboards with artificial-intelligence and machine-learning components to generate and assess insights into waterflood operational efficiency.
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At the company’s annual conference, leaders from its Automations Solutions business laid out a three-pronged effort to improve automation architecture—intelligent fields, the edge, and the cloud.
