Abstract
Since early 2005, Simula Research Laboratory and StatoilHydro have built a strong and long-term research collaboration in computational geosciences. The main goal for this collaboration is to strengthen the procedures used in oil and gas exploration through new and improved computer-based models of geological and geophysical processes. So far, the 4D Lithosphere Model and a new generation of the Compound Modelling technology have been successfully established, and the collaboration has become strategically important for both organisations. More contributions to the field are progressing rapidly and potentially will lead to improved reliability of depositional models, better insight into the physics of underwater gravity flows of sediments, and more accurate descriptions of deformations in sedimentary basins.
This chapter describes the background for the research collaboration as well as ongoing scientific activities. Using the results obtained from academic and industrial pursuits as a backdrop, we also summarise the key factors responsible for the successful implementation of a close link between the basic research community and industry. The coupling of research tasks of an academic nature with technology development has proven to be bidirectional, in that development-oriented activities lead to new PhD and postdoctoral research projects and vice versa. The intimate connection between the axes of research and development is a particular strength in the StatoilHydro-Simula collaboration. This feature is a consequence of both companies being committed to long-term research and the flexibility offered by Simula’s organisation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M. A. Tatang, W. Pan, R. G. Prinn, and G. J. McRae. An efficient method for parametric uncertainty analysis of numerical geophysical models. J. Geophysical Research, 102:21925–21932, 1997.
P. M. C. Leod, S. Carey, and R. S. J. Sparks. Behaviour of particle-laden flows into the ocean: Experimental simulation and geological implications. Sedimentation, 46:523–536, 1999.
H. Li and D. Zhang. Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods. Water Resources Research, 43:523–536, 2007.
A. K. Thurmond, J. Skogseid, C. Heine, T. V. Stensby, C. Tarrou, and A. M. Bruaset. Development of the 4D lithosphere model (4DLM): How exploration research has contributed to 4-dimensional visualization and interpretation of geological and geophysical data. Eos Trans., 89:53, 2008.
R. Walker. The origin and significance of the internal sedimentary structures of turbidites. Proceedings of the Yorkshire Geological Society, 35:1–32, 1965.
J. Shirolkar, C. Coimbra, and M. Queroz McQuay. Fundemental aspects of modeling turbulent particle dispersion in dilute flows. Progress In Energy Combustion Science, 22:363–399, 1996.
H. Li, H. Fang, Z. Lin, S. Xu, and S. Chen. Lattice Boltzmann simulation on particle suspensions in a two-dimensional symmetric stenotic artery. Physical Review E, 69(3):031919–+, Mar. 2004.
Z. Fan, F. Qiu, A. Kaufman, and S. Yoakum-Stover. GPU cluster for high performance computing. SuperComputing Conference, 2004.
A. Masselot and B. Chopard. A Lattice Boltzmann model for particle transport and deposition. Europhys. Lett, 42:264, 1998.
S. Huang, S. Mahadevan, and R. Rebba. Collocation-based stochastic finite element analysis for random field problems. Probabilistic Engineering Mechanics, 22:194–205, 2007.
Ø. Hjelle and M. Dæhlen. Multilevel least squares approximation of scattered data over binary triangulations. Computing and Visualization in Science, 8(2):83–91, 2005.
J. P. M. Syvitski and E. W. H. Hutton. 2D SEDFLUX 1.0C: an advanced process-response numerical model for the fill of marine sedimentary basins. Computers & Geosciences, 27(6):731–753, 2001.
K. Borovkov. Elements of Stochastic Modelling. World Scientific Publishing, 2003.
B. J. T. Morgan. Applied Stochastic Modelling. Chapmann & Hall, 2nd edition, 2008.
B. D. Ripley. Stochastic Simulation. Wiley Series in Probability and Statistics. Wiley, 2006.
W. Gautschi. Algorithm 726: ORTHPOL–a package of routines for generating orthogonal polynomials and Gauss-type quadrature rules. ACM Trans. Math. Softw., 20(1):21–62, 1994.
R. Ghanem and P. D. Spanos. Polynomial chaos in stochastic finite elements. Journal of Applied Mechanics, 57(1):197–202, 1990.
L. Rainald. Applied Computational Fluid Dynamics Techniques: An Introduction Based on Finite Element Methods. Wiley, 2008.
G. Hämmerlin and K.-H. Hoffmann. Numerical Mathematics. Springer, 1991.
T. Løseth. Submarine Massflow Sedimentation. Number 82 in Lecture Notes in Earth Sciences. Springer, 1999.
P. Keary and F. J. Vine. Global tectonics. Blackwell Publishing, 2nd edition, 1996.
P. A. Allen and J. R. Allen. Basin Analysis: Principles and Applications. Blackwell Publishing, 2nd edition, 2005.
L. M. Hwa, M. A. Duchaineau, and K. I. Joy. Adaptive 4-8 texture hierarchies. Visualization Conference, IEEE, 0:219–226, 2004.
L. M. Hwa, M. A. Duchaineau, and K. I. Joy. Real-time optimal adaptation for planetary geometry and texture: 4-8 tile hierarchies. IEEE Transactions on Visualization and Computer Graphics, pages 355–368, 2005.
K. Sahr, D. White, and A. J. Kimerling. Geodesic discrete global grid systems. Cartography and Geographic Information Science, 30(2):121–134, 2003.
J. Rivenæs. Application of a dual–lithology, depth–dependent diffusion equation in stratigraphic simulation. Basin Research, 4:133–146, 1992.
J. Rivenæs. A Computer Simulation Model for Siliciclastic Basin Stratigraphy. PhD thesis, NTH, 1993.
B. Doligez, D. Granjeon, P. Joseph, R. Eschard, and H. Beucher. How can stratigraphic modeling help to constrain geoststistical reservoir simulations? Numerical Experiments in Stratigraphy: Recent Advances in Stratigraphic and Sedimentologic Computer Simulations, volume 62 of SEPM Society for Sedimentary Geology Special Publications, pages 239–244. Geological Society Publishing House, 1999.
D. M. Tetzlaff and J. W. Harbaugh. Simulating Clastic Sedimentation. Van Nostrand Reinhold, 1989.
L. Landweber. An iteration formula for Fredholm integral equations of the first kind. Amer. J. Math., 73:615–624, 1951.
H.-J. Schroll. Automatic calibration of depositional models. Automated Solution of Differential Equations. Springer, 2009. Submitted by invitation.
A. R. Conn, K. Scheinberg, and L. N. Vicente. Introduction to Derivative-Free Optimization. MPS-SIAM Book Series on Optimization. SIAM, 2009.
D. Zhang. Stochastic Methods for Flow in Porous Media. Coping with Uncertainties. Academic Press, 2002.
K. Bitzer and R. Salas. SIMSAFADIM: 3D simulation of stratigraphic architecture and facies distribution modeling of carbonate sediments. Computers & Geosciences, 28:1177–1192, 2002.
J. Strobel, R. Cannon, C. Kendall, G. Biswas, and J. Bezdek. Interactive (SEDPAK) simulation of clastic and carbonate sediments in shelf to basin settings. Computers and Geoscience, 15:1279–1290, 1989.
J.-L. Mallet. Space-time mathematical framework for sedimentary geology. Mathematical Geology, 36(1), 2004.
S. A. Petersen. Compound Modelling - a geological approach to the construction of shared earth models. EAGE 61th Conference & Exhibition, Extended Abstracts, 1999.
S. A. Petersen. Optimization strategy for shared earth modeling. EAGE 66th Conference & Exhibition, Extended Abstracts, 2004.
S. A. Petersen, Ø. Hjelle, and S. L. Jensen. Earth modelling using distance fields derived by Fast Marching. EAGE 69th Conference & exhibition, Extended Abstracts, 2007.
S. A. Petersen and Ø. Hjelle. Earth recursion, an important component in sheared earth model builders. EAGE 70th Conference & exhibition, Extended Abstracts, 2008.
M. G. Imhof and A. K. Sharma. Seismostratigraphic inversion: Appraisal, ambiguity, and uncertainty. Geophysics, 72(4):Rr51–R66, 2007.
J. B. Haga, A. M. Bruaset, X. Cai, H. P. Langtangen, H. Osnes, and J. Skogseid. Parallelisation and numerical performance of a 3D model for coupled deformation, fluid flow and heat transfer in sedimentary basins. MekIT’07, pages 151–162. Tapir Academic Press, 2007.
O. Al-Khayat, A. M. Bruaset, and H. P. Langtangen. Lattice Boltzmann method and turbidity flow modeling. MekIT’07, pages 213–228. Tapir Academic Press, 2007.
M. W. Gee, C. M. Siefert, J. J. Hu, R. S. Tuminaro, and M. G. Sala. ML 5.0 Smoothed Aggregation User’s Guide. Technical Report SAND2006-2649, Sandia National Laboratories, 2006.
T. V. Stensby, C. Tarrou, A. M. Bruaset, J. Skogseid, A. K. Thurmond, and C. Heine. Multi-resolution visualization of time-dependent horizons on the globe. Presentation at the 33rd International Geological Congress, Oslo, 2008.
Ø. Hjelle and S. Petersen. Mathematics of folding in structural geology. Working notes, 2009.
StatoilHydro and Simula. Interactive rendering of physical entities. UK Patent Application No. 0814474.3, filed August 6, 2008, 2008.
O. Al-Khayat, A. M. Bruaset, and H. P. Langtangen. A lumped particle model for the simulation of suspended flows. Journal paper in writing, 2009.
J. B. Haga, H. Osnes, and H. P. Langtangen. Parallelisation and numerical performance of a large-scale porothermoelastic basin model. Journal paper in writing, 2009.
S. Clark, A. M. Bruaset, T. Sømme, and T. Løseth. Probabilistic handling of uncertainty in diffusion-based stratigraphic models. Journal paper in writing, 2009.
T. Salles, S. Lopez, R. Eschard, O. Lerat, T. Mulder, and M. C. Cacas. Turbidity current modelling on geological time scales. Marine Geology, 248:127–150, 2008.
A. Kjeldstad, H. P. Langtangen, J. Skogseid, and K. Bjørlykke. Simulation of sedimentary basins. Advanced Topics in Computational Partial Differential Equations, pages 611–658. Springer, 2003.
H. P. Langtangen. Computational Partial Differential Equations: Numerical Methods and Diffpack Programming. Springer, 2nd edition, 2003.
M. J. D. Powell. UOBYQA: unconstrained optimization by quadratic approximation. Math. Program., Ser. B, 92:555–582, 2002.
DK Images. http://www.dkimages.com/.
Jerome Neufeld. Photo from a tank experiment showing a turbidity current.The experimental nonlinear physics group, University of Toronto, Canada. See http://www.physics.utoronto.ca/ nonlin/turbidity/turbidity.html.
Kevin Walsh. Photo of a stack of turbidites in Cornwall, UK. See http://www. everystockphoto.com/photo.php?imageId=8672.
A. B. Watts. Isostasy and Flexure of the Lithosphere. Cambridge University Press, 2001.
J.-L. Mallet. Numerical Earth Models. EAGE, 2008.
J.-L. Mallet. Geomodeling. Oxford University Press, 2002.
U. M. Yang. Parallel algebraic multigrid methods — High performance preconditioners. Numerical Solution of Partial Differential Equations on Parallel Computers, pages 209–236. Springer, 2006.
M. Rumpf and R. Strzodka. Graphics processor units: New prospects for parallel computing. Numerical Solution of Partial Differential Equations on Parallel Computers, pages 89–132. Springer, 2006.
G. Karypis, K. Schloegel, and V. Kumar. Parmetis parallel graph partitioning and sparse matrix ordering library, version 3.1. Technical report, University of Minnesota, 2003.
W. Joubert and J. Cullum. Scalable algebraic multigrid on 3500 processors. Electronic Transactions on Numerical Analysis, 23:105–226, 2006.
H. A. van der Vorst. Bi-CGSTAB: A fast and smoothly converging variant of Bi-CG for the solution of nonsymmetric linear systems. SIAM J. Sci. Stat. Comput., 13:631–644, 1992.
R. A. Olea. Geostatistics for Engineers and Earth Scientists. Kluwer Academic Publishers, 1999.
M. Perrin, B. Zhu, J.-F. Rainaud, and S. Schneider. Knowledge-driven applications for geological modeling. Journal of Petroleum Science and Engineering, 47(1):89–104, 2005.
J. A. Sethian. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science. Cambridge University Press, 1999.
J. G. Ramsay and M. I. Hubert. The Techniques of Modern Structural Geology: Folds and Fractures. Academic Press, 1987.
C. M. R. Fowler. The Solid Earth: An Introduction to Global Geophysics. Cambridge University Press, 2nd edition, 2004.
E. Rouy and A. Tourin. A viscosity solutions approach to shape-from-shading. SIAM J. Num. Anal, 29(3):867–884, 1992.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bruaset, A.M. (2010). Turning Rocks into Knowledge. In: Tveito, A., Bruaset, A., Lysne, O. (eds) Simula Research Laboratory. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01156-6_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-01156-6_40
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01155-9
Online ISBN: 978-3-642-01156-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)