Statistical Analysis of Natural Resource Data - SAND
The SAND department was established in 1984. It is a significant international contributor to research and services within reservoir description, stochastic modeling and geostatistics for the oil industry. Our primary goal is to use statistical methods to reduce and quantify risk and uncertainty. The main area is stochastic modeling of the geology in petroleum reservoirs including upscaling and history matching. There is also a significant activity on all kinds of risk quantification, primarily within the energy sector.
The staff has a background in statistics, mathematics, physics, numerical analysis and computer science. To ensure that we work with interesting and relevant problems for the petroleum industry, we encourage close cooperation with professionals within the geo-science whenever this is relevant for the project. Oil companies, software vendors within the oil industry and research project sponsored by the European Commission and The Research Council of Norway, finance most projects.
Last 5 scientific articles
Qu, Dongfang; Røe, Per; Tveranger, Jan. A method for generating volumetric fault zone grids for pillar gridded reservoir models. Computers & Geosciences (ISSN 0098-3004). 81 pp 28-37. doi: 10.1016/j.cageo.2015.04.009. 2015.
Martinelli, Gabriele; Eidsvik, Jo; Hokstad, Ketil; Hauge, Ragnar. Strategies for Petroleum Exploration on the Basis of Bayesian Networks: A Case Study. SPE Journal (ISSN 1086-055X). 19(4) pp 564-575. doi: 10.2118/159722-PA. 2014.
Røe, Per; Georgsen, Frode; Abrahamsen, Petter. An Uncertainty Model for Fault Shape and Location. Mathematical Geosciences (ISSN 1874-8961). 46(8) pp 957-969. doi: 10.1007/s11004-014-9536-z. 2014. Full-text
Røe, Per; Hauge, Ragnar. A Volume-conserving Representation of Cell Faces in Corner Point Grids. In: ECMOR XIV - Proceedings of 14th European Conference on the Mathematics of Oil Recovery, Catania, Italy, 8-11 September, 2014. (ISBN 978-90-73834-94-1). doi: 10.3997/2214-4609.20141859. 2014.