drilling optimization

The duo’s new services will be initially deployed in Iraq.

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.

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.

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.

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.

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.

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.

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.

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.

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.