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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.

Research areas

Last 5 scientific articles

    Vonnet, Julie; Hermansen, Gudmund Horn. Using predictive analytics to unlock unconventional plays. First Break (ISSN 0263-5046). 33 pp 87-92. 2015. Full-text 

    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.

    Hauge, Vera Louise; Kolbjørnsen, Odd. Spatial Resolution in Bayesian Inversion of Gravimetric Data. In: Conference proceedings. 76th EAGE Conference & Exhibition. (ISBN 978-90-73834-89-7). doi: 10.3997/2214-4609.20141001. 2014. Full-text 

Publications in 2015, 2014, 2013, 2012, 2011, earlier years
Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
(+47) 22 85 25 00
Address How to get to NR
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR