04: Drilling Automation

As automated drilling has moved into the mainstream, the degree of sophistication of the accompanying models in support of its implementation continues to grow. This session provides an insight into some of these new capabilities, including technologies deployed on the edge that integrate multiple drilling models and systems that combine 3D visualization of the drilling process with machine learning applications. The challenge of achieving a safe transition from automatic to manual control when an abnormal condition is encountered is a critical issue in the design of automated systems and a technical approach on how to achieve this is discussed here for the first time. 

Session Chairpersonss: Riaz Israel, BP America Inc and John Thorogood, Drilling Global Consultant LLP

(GMT)

1600-1630 | 204114

A Technical Approach to Safe Mode Management for a Smooth Transition from Automatic to Manual Drilling  E. Cayeux, R. Mihai, L. Carlsen, NORCE; M. Ørevik, K. Birgisson, National Oilwell Varco; R. Bergerud, SEKAL  

1630-1700 | 204074

Drilling Advisory for Automatic Drilling Control  K. Lahlou, S. Oedegaard, M. Svendsen, eDrilling; T. Weltzin, Equinor; K. Bjørkevoll, Sintef; B. Rudshaug, Equinor

1700-1730 | 204064

A Hybrid Test Environment for Verification of Drilling Automation Systems  J. Gravdal, NORCE; D. Sui, University of Stavanger; A. Nagy, National Oilwell Varco / University of Stavanger; N. Saadallah, R. Ewald, NORCE   

Access to this on-demand session will be made available 24-hours after the session and will remain available for 90 days post-event.