Drilling Digital Twin Success Stories the Last 10 Years
- M. Gholami Mayani (eDrilling) | M. Svendsen (eDrilling) | S. I. Oedegaard (eDrilling)
- Document ID
- Society of Petroleum Engineers
- SPE Norway One Day Seminar, 18 April, Bergen, Norway
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Petroleum Engineers
- 4.2 Pipelines, Flowlines and Risers, 1.6 Drilling Operations, 6.1 HSSE & Social Responsibility Management, 4.2.4 Risers, 3.2.9 Lifecycle Management and Planning, 4 Facilities Design, Construction and Operation, 4.5 Offshore Facilities and Subsea Systems, 6 Health, Safety, Security, Environment and Social Responsibility, 3.2 Well Operations and Optimization, 6.1.5 Human Resources, Competence and Training, 4.5.7 Controls and Umbilicals, 3 Production and Well Operations
- Drilling simulator, Digital twin, Drilling simulation
- 12 in the last 30 days
- 338 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 9.50|
|SPE Non-Member Price:||USD 28.00|
Objective of the paper is to describe and present results of using a "Digital Twin" in Drilling Operations (Planning and Engineering, Training and Operational Support) in the last 10 years for Operators worldwide. The concept of Digital Twin was first introduced by Michael Grieves at the University of Michigan in 2003 through Grieves’ Executive Course on Product Lifecycle Management.
Winning a Formula 1 race is no longer just about building the fastest car, hiring the bravest driver and praying for luck. These days, when a McLaren technology group races in Monaco or Singapore, it beams data from hundreds of sensors wired in the car to Woking, England. There, analysts study that data and use complex computer models to relay optimal race strategies back to the driver. The McLaren race crew and the online retailers both harness data and use algorithms to make reasonable projections about the future, Parris explains. The concept is called Digital Twin .
A Digital Twin contains information such as a piece of equipment or asset, including its physical description, instrumentation, data and history. A Digital Twin can be created for assets ranging from a well to a piece of equipment to an entire oilfield. For example, a subsea system could have a Digital Twin via a simulation model of a subsea system's components, including the blowout preventer, tiebacks, risers, manifolds, umbilical and moorings.
Drilling and extracting simulations can determine whether virtual designs can actually be built using the machines available," GE said. "Last but not least, real-time data feeds from sensors in a physical operating asset are now used to know the exact state and condition of an operating-asset product, no matter where it is in the world".
|File Size||1 MB||Number of Pages||13|
Cerrone A, Hochhalter J, Heber G, Ingraffea A. On the Effects of Modeling As-Manufactured Geometry: Toward Digital Twin. International Journal of Aerospace Engineering, 2014, 2014, 10. http://dx.doi.org/10.1155/2014/439278
Cayeux E, Daireaux B, Dvergsnes E W, Saelevik G, Zidan M. An Early Warning System for Identifying Drilling Problems: An Example From a Problematic Drill-Out Cement Operation in the North-Sea. In. IADC/SPE Drilling Conference and Exhibition. San Diego, California, USA: Society of Petroleum Engineers; 2012.
Datta S. Internet of Things Collaborative Research Initiative (ICRI) at MIT Auto-ID Labs: Emergence of Digital Twins- Is this the march of reason? MIT's research collection https://dspace.mit.edu/ 2017, 16.
Petersen J, Rommetveit R, Bjorkevoll K S, Froyen J. A General Dynamic Model for Single and Multi-phase Flow Operations during Drilling, Completion, Well Control and Intervention. In. IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition. Jakarta, Indonesia: Society of Petroleum Engineers; 2008.
Rommetveit R, Bjorkevoll K S, Odegaard S I, Herbert M C, Halsey G W, Kluge R, korsvold T. eDrilling used on Ekofisk for Real-Time Drilling Supervision, Simulation, 3D Visualization and Diagnosis. In. Intelligent Energy Conference and Exhibition. Amsterdam, The Netherlands: Society of Petroleum Engineers; 2008.
Rommetveit R, Odegard S I, Nordstrand C, Bjorkevoll K S, Cerasi P R, Helset H M, Fjeldheim M, Havardstein S T. Drilling a Challenging HP/HT Well Utilizing an Advanced ECD Management System With Decision Support and Real-Time Simulations. In. IADC/SPE Drilling Conference and Exhibition. New Orleans, Louisiana, USA: Society of Petroleum Engineers; 2010.
Rommetveit R, Bjorkevoll K S, Cerasi P R, Havardstein S T, Fjeldheim M, Helset H M, Odegard S I, Nordstrand C. Real Time Integration of ECD, Temperature, Well Stability and Geo/Pore Pressure Simulations during drilling a challenging HPHT well. In. SPE Intelligent Energy Conference and Exhibition. Utrecht, The Netherlands: Society of Petroleum Engineers; 2010.
Barr Aas I, Skjerve K, Haaland L E, Svendsen M, Rommetveit R. Successful Use of Sophisticated Flow Modelling in the Planning and Operational Phase of Drilling, Liner Running and Cementing Operations: All in Managed Pressure Mode. In. SPE Annual Technical Conference and Exhibition. Dubai, UAE: Society of Petroleum Engineers; 2016.