Directional/complex wells

Polar coordinate heat maps representing the Von Mises probability densityfor a series of slides, with black lines denoting estimated α. Each ring corresponds to aslide. The left shows individual slide estimates, and the right shows the filtered estimates

Drilling automation

Integration of Physics Models and ML Algorithms Enhances Automated Sliding Performance

This paper presents a multifaceted approach leveraging precise rig control, physics models, and machine-learning techniques to deliver consistently high performance in a scalable manner for sliding.

Fig. 1—Fractured pin connection on one of the subs in the BHA.

Directional/complex wells

Study Explores BHA Damage Caused by Trapped Torque During Drillpipe Connection

This paper presents a study of trapped-torque incidents during drillpipe connection, highlighting contributing factors and root causes and proposing prevention and mitigation measures for these transient events.

Fig. 1—Computer-aided images of the 17.5-in. PDC bits that have been used for all modeling work presented in this paper. (a) A seven-bladed PDC bit (baseline) design; (b) another PDC bit design that only differs from the baseline because of the inclusion of DOC-limiting features on the cone section of the primary blades.

Directional/complex wells

Modeling Approach Mitigates Premature PDC Failure in Transitional Drilling

In this study, a method was developed to analyze the effects of drilling through transitions on bit-cutting structures and construct an ideal drilling strategy using a detailed drilling model.