Digital oilfield
Operators that demand control of their future position in global energy production are forging ahead into new territory by digitally transforming their operations at a time that still feels relatively comfortable. They’ve recognized that, while traditional approaches served the industry well for many decades, the chance to reimagine how they do things is not something…
Weatherford International announced a strategic agreement with Amazon Web Services (AWS) to advance the company's digital transformation and drive innovation across the energy sector.
This paper describes the operator’s digital-twin end-to-end production system deployed for model-based surveillance and optimization.
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This paper presents an intelligent tube solution that combines data retrieved by the sensors with the actual resistance of each pipe in the well to allow adjustment of production parameters while ensuring installation safety. -
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 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 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 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.
