Robert Ewald
IRIS - International Research Institute of Stavanger, Norway
Jan Einar Gravdal
IRIS - International Research Institute of Stavanger, Norway
Dan Sui
University of Stavanger, Dept. of Petroleum Technology, Norway
Roman Shor
University of Calgary, Dept. of Chemical and Petroleum Engineering, Canada
Download article
http://dx.doi.org/10.3384/ecp18153162Published in: Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59), 26-28 September 2018, Oslo Metropolitan University, Norway
Linköping Electronic Conference Proceedings 153:23, p. 162-168
Published: 2018-11-19
ISBN: 978-91-7685-494-5
ISSN: 1650-3686 (print), 1650-3740 (online)
Next generation intelligent software for drilling control systems together with automated monitoring and analysis systems is expected to save costs for the drilling industry. However, the transition from monitoring a process, which today is controlled manually, to automating the process requires a step-change in education of personnel as well as in infrastructure for development and testing new technology. The lack of high quality field data from drilling and well operations is a major problem in research and innovation projects within the oil & gas and geothermal drilling sector, as well as in education within these areas. Since 2015, IRIS and the University of Stavanger have developed a web enabled high fidelity drilling simulator as part of the OpenLab Drilling project. This paper describes the objectives of the project, the technical solutions of the web enabled drilling simulator, and the results obtained during the first year after deployment to the users.
