bottomhole assembly

This paper describes an 18-month intensive continuous improvement process between an operator, a rig contractor, and bottomhole-assembly (BHA) service providers aimed at reducing BHAs per well in two Oklahoma rigs.

This paper presents the study, resulting recommendations, and a proposed change in standard bottomhole-assembly configurations to reduce service-quality-compromising incidents and productive time lost from jar twistoffs.

This study illustrates how a combination of a straddle-packer system and a downhole real-time telemetry successfully stimulated up to 38 stages while maintaining packer-seal integrity and downhole pressure.

The authors of this paper present an autonomous directional-drilling framework built on intelligent planning and execution capabilities and supported by surface and downhole automation technologies.

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.

Anomalies in heart function can be diagnosed in real time by measuring an electrical signal. Petroleum engineers have adapted the concept to diagnose anomalous drilling conditions in real time using a shock signature recorded downhole.

The complete paper discusses a new performance-evaluation methodology that combines bottomhole assembly (BHA) modeling with field data.

The complete paper presents a methodology designed for optimally matching drill bits, mud motors, and bottomhole-assembly components for reduced failure risks and improved drilling performance.