Digital oilfield
Weatherford International plc announced a strategic agreement with Amazon Web Services (AWS) to advance the company's digital transformation and drive innovation across the energy sector.
The rapid development of oil and gas intelligent operations depends on artificial intelligence, automation, and data analytics to achieve optimal conditions in oil and gas operations.
The authors of this paper describe a project to develop a virtual sensor to monitor the cooling effect downstream of a subsea choke to avoid hydrate plugs during cold-start operations.
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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. -
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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This paper describes an intelligent completion design installed in two deepwater wells with dual-zone stack-pack sand-control lower completions and the installation of an intermediate string to isolate the reservoir in each zone.
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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.
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This paper compiles recommendations from a broad range of sources into a single document to aid future intelligent-completion installations and operations.
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The supermajor and oilfield service company have teamed up for the second time in 4 years on the deployment of a new optimization software.
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The authors of this paper evaluate the effectiveness of production-enhancement activities for a long-string, gas-lifted producer using distributed-temperature-sensing technology.
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The authors of this paper write that 4D data are an integral part of a reservoir-management program and, together with geological and production history data, are being used to update reservoir models to further the goals of field development.
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The authors of this paper describe the development of a continuous monitoring solution throughout its deployment.
