drilling optimization
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The duo’s new services will be initially deployed in Iraq.
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The objective of this paper is to review selected completions to provide insights for adoption of multilateral technologies, including lessons learned, operational experience, and recommendations.
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This paper describes preplanning, execution, and results of drilling extended-reach wells with a large-bore design of 12¼-in. as the main stepout section and deploying 9⅝-in. casing at a shallow true vertical depth of 4,200 ft.
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Nabors is connecting Corva’s platform to its universal rig controls and automation platform, allowing apps built and developed in Corva to monitor and control any rig equipped with the platform.
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The authors of this paper discuss a global rate-of-penetration machine-learning model with the potential to eliminate learning curves and reduce time and costs associated with developing a new model for every field.
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The data-management company has raised its investment in the technology company IWS by $7.9 million, with an agreement to invest an additional $25 million depending on the performance of IWS.
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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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This paper highlights the potential of machine learning to be used as a tool in assisting the drilling engineer in bit selection through data insights previously overlooked.
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The authors write that simple changes in drillstring design can lead to huge savings in a climate that demands continual reductions in well-delivery time and well costs.
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This paper describes a collaboration between the operator and a service company that resulted in a successful deployment of an automation platform to manage risks and optimize drilling operations in exploration wells.
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