OpenLab

Gravdal et. al. "A New Approach to Development and Validation of Artificial Intelligence Systems for Drilling". In proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, IEEE Xplore, 2020. Link to paper

Saadallah et. al. «OpenLab: Design and Applications of a Modern Drilling Digitalization Infrastructure". Paper SPE 195629. In proceedings at the SPE Norway One Day Seminar, 14 May, 2019. Link to paper

Ewald et. al. «Web Enabled High Fidelity Drilling Computer Model with UserFriendly Interface for Education, Research and Innovation". In proceedings at the 59th Conference on Simulation and Modelling (SIMS 59), 26-28 September, Oslo, 2019. Link to paper


Selected publications with acknowledgement to OpenLab

Bansal et. al. "Development of a Bivariate Machine-Learning Approach for Decision-Support in Offshore Drilling Operations". In proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, November 2020. Link to paper

Fjetland et al. "Kick Detection and Influx Size Estimation during Offshore Drilling Operations using Deep Learning". IEEE Conference on Industrial Electronics and Applications, September 2019. Link to paper

Ambrus et al. "Automatic Detection of Anomalous Drilling Operations Using Machine Learning Methods and Drilling Process Simulations." Oil Gas European Magazine", 2019. Link to paper


Recent Master's thesis using OpenLab

Attila Nagy, "Availability and Quality of Drilling Data in the Volve Dataset", Master thesis, University of Stavanger, 2019. Link to paper

Andreas Kvalbein Fjetland "Kick Detection During Offshore Drilling using Artificial Intelligence". Master thesis, University of Agder, 2019. Link to paper

Rasho Alo, "Developing a methodology for generating an influx management envelope in MPD operations". Master thesis, University of Stavanger, 2019. Link to paper


Flow model and Numerical method in OpenLab

Lorentzen, R.J., Fjelde. K.K., RF-Rogaland Research*. “Use of slopelimiter techniques in traditional numerical methods for multi-phase flow in pipelines and wells.” International Journal for Numerical Methods in Fluids. Vol. 48: pages 723–745, 2005. Link to paper

Lorentzen, R.J., Stordal, A. and Nævdal, G., SPE, IRIS, and Karlsen, H.A. and Skaug, H.J., University of Bergen, Department of Mathematics. Estimation of Production Rates With Transient Well-Flow Modeling and the Auxiliary Particle Filter. Paper SPE 165582, SPE Journal, pages 172-180, February 2014. Link to paper

Temperature Model in OpenLab

Corre, B., Eymard, R. and Gounet, A. “Numerical computation of Temperature Distribution in a wellbore while drilling”. Paper SPE 132080 presented at the SPE Annual Technical Conference and exhibition, Houston, 16-19 September, 1984. Link to paper

Transient Cuttings transport model in OpenLab

Cayeux, E., IRIS – International Research Institute of Stavanger; Mesagan, T., Tanripada, S., and Zidan, M., Statoil; Fjelde, K.K., University of Stavanger. “Real-Time Evaluation of HoleCleaning Condidtions With a Transient Cuttings-Transport Model”. SPE 163492. Drilling and Completion Journal, March 2014. Link to paper

Torque & Drag model in OpenLab

Yunfeng Yi et. al. «An Advanced Coiled Tubing Simulator for Calculations of Mechanical and Flow Effects; Model Advancements and Full-Scale Verification Experiments.” SPE 89455. 2004. Link to paper

Kyllingstad, Aa., RF-Rogaland Research*. “Buckling of tubular strings in curved wells.” Journal of Petroleum Science and Engineering, Volume 12, Issue 3, Pages 209-218, January 1995. Link to paper