Data & Analytics
The cloud platform provider said the initiative is designed to help energy companies manage and analyze large-scale operational data.
Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
This paper presents an automated workflow deployed for scheduling and validating steady-state production-well tests across more than 2,300 wells in the Permian Basin.
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The authors discuss a study based on twistoffs experienced with bottomhole assembly components during drilling operations and provide recommendations for reduction or elimination of these incidents.
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Only 30% of oil and gas companies have successfully scaled digital manufacturing. In this video, McKinsey & Company presents a few digital transformation ideas that can help oil and gas CEOs achieve real impact on production key performance indicators.
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The data company will use drones supplied by Carbonix to expand its remote data acquisition.
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The Seaeye Falcon underwater robot is being used in the decommissioning and repurposing of an oil rig offshore Angola.
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A network of more than 1,600 offshore facilities produces a significant portion of US domestic oil and gas. The facilities, which rely on technology to remotely monitor and control equipment, face a growing risk of cyberattacks.
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Baker Hughes has signed a memorandum of understanding with Petronas to deploy industrial digital capabilities through Petronas’ AI Center of Excellence in Malaysia.
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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…
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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.