Position: |
Chief Scientist |
Affiliations: |
NORCE Norwegian Research
Centre-NORCE Energy |
Office: |
Room F-418 |
Visiting address: |
Nygårdsgaten 112, 5008 Bergen, Norway |
Postal address: |
P.O. Box 22, Nygårdstangen, 5838 Bergen, Norway |
Phone: |
(+47) 56 10 71 27 |
E-mail: |
Research interests:
· Inverse problems
· Data assimilation
· Reservoir history matching
· Geophysical monitoring
1999 - 2008; SPE Journal.
2009 - Computational
Geosciences.
Mohammad Nezhadali. Dept.
Of Mathematics, University of Bergen, Norway. Started September 2019
Svenn Tveit. Dept. Of
Mathematics, University of Bergen, Norway. Thesis: Inversion of CSEM data for
subsurface structure identification and numerical assessment of the upstream
mobility scheme. Graduated 2015.
Kristian Fossum. Dept. Of
Mathematics, University of Bergen, Norway. Thesis:
Assessment of sequential and simultaneous ensemble-based history matching
methods for weakly non-linear problems. Graduated 2015.
Théophile Gentilhomme.
Dept of Geology, University of Lorraine, France. Thesis: Multi-scale reservoir data integration and uncertainty
quantification. Graduated 2014.
Andrey Kovalenko. Dept. of
Mathematics, University of Bergen, Norway. Thesis: Assessment of the ensemble
Kalman filter sampling error. Graduated 2012.
Shaaban Bakr. Dept. of
Mathematics, University of Bergen, Norway. Thesis: An approximate hybrid method
for modeling of electromagnetic scattering from an underground target.
Graduated 2010.
Inga Berre. Dept. of
Mathematics, University of Bergen, Norway. Thesis: Fast simulation of transport
and adaptive permeability estimation in porous media. Graduated 2005.
Martha Økland
Lien. Dept. of Mathematics, University of Bergen, Norway. Thesis: Adaptive
methods for permeability estimation and smart well management. Graduated 2005.
Harald Kruger. Dept. of
Physics and Technology, University of Bergen, Norway. Thesis: Estimating the
permeability using adaptive multiscale estimation. Graduated 2004.
Trygve Kastberg
Nilssen. Dept. of Mathematics, University of Bergen,
Norway. Thesis: Parameter estimation with the augmented Lagrangian
method and a study of some fourth order problems. Graduated 2002.
Alv-Arne Grimstad.
Dept. of Physics and Technology, University of Bergen, Norway. Thesis: On
nonlinearities and covariance analysis for the reservoir fluid flow model.
Graduated 1999.
Kari Brusdal. Dept. of Mathematics, University of Bergen, Norway. Thesis: Operator splitting techniques and nonlinear parameter estimation for flow in porous media. Graduated 1999.
Submitted
manuscripts:
Publications
in press:
Journal
publications (since 1995):
S. Tveit, T. Mannseth, J.
Park, G. Sauvin, R. Agersborg:
Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of
large-scale CO2 injection. Comput. Geosci. 24(3), 2020
T. Mannseth: Assimilation
of multiple linearly
dependent data vectors. Comput. Geosci. 24(1), 2020.
K. Fossum, T. Mannseth, A.
S. Stordal: Assessment
of multilevel ensemble-based data assimilation for reservoir history matching. Comput. Geosci. 24(1), 2020.
T. Mannseth, K. Fossum:
Assimilating spatially dense data for subsurface applications---balancing
information and degrees of freedom. Comput. Geosci. 22(5), 2018.
K. Fossum, T. Mannseth:
Coarse-scale data assimilation as a generic alternative to localization. Comput. Geosci. 21(1), 2017.
T. Gentilhomme, D.S.
Oliver, T. Mannseth, G. Caumon, R. Moyen, P. Doyen: Ensemble-based multi-scale
history matching using second generation wavelet transform. Comput. Geosci.19(5),
2015.
S. Tveit, S. A. Bakr, M. Lien, T. Mannseth:
Ensemble-based Bayesian inversion of CSEM data for subsurface structure
identification. Geophys. J. Int. 201(3), 2015.
K.
Fossum, T. Mannseth: Assessment of ordered sequential data assimilation. Comput. Geosci. 19(4), 2015.
T. Mannseth: Comparison of five
different ways to assimilate data for a simplistic weakly non-linear parameter
estimation problem. Comput. Geosci., 19(4), 2015.
H. K. Hvidevold, G. Alendal, A. Ali, T.
Johannessen, T. Mannseth, H. Avlesen: Layout of CCS monitoring infrastructure
with highest probability of detecting a footprint of a CO_{2 }leak in a
varying marine environement. Int. Journal of Greenhouse Gas Control 37, 2015.
S. Tveit, S. A. Bakr, M. Lien, T. Mannseth:
Identification of subsurface structures using electromagnetic data and shape
priors. J. Comput.
Phys. 284, 2015.
K. Fossum, T. Mannseth: Sampling capabilities
of sequential and simultaneous data assimilation. Part I: analytical
comparison. Inverse Probl. 30(11), 114002, 2014.
K. Fossum, T. Mannseth: Sampling capabilities
of sequential and simultaneous data assimilation. Part II: statistical analysis
of numerical results. Inverse Probl. 30(11), 114003,
2014.
M. Lien, T. Mannseth: Facies estimation trough
data assimilation and structure parameterization. Comput. Geosci.18
(5), 2014
T. Mannseth: Relation between level set and
truncated pluri-gaussian methodologies for facies representation. Math. Geosci. 46 (6), 2014.
S. A. Bakr, D. Pardo, T.
Mannseth: Domain decomposition Fourier finite
element method for the simulation of 3D marine CSEM measurements. J. Comput. Phys., 255,
2013.
S. A. Bakr, T. Mannseth: An
approximate hybrid method for electromagnetic scattering from an underground
target. IEEE Trans. on Geoscience and Remote Sensing, 51 (1), 2013.
H. K. Hvidevold,
G. Alendal, T. Johannessen, T. Mannseth: Assessing model parameter
uncertainties for rising velocity of CO_{2 }droplets through
experimental design. Int. Journal of Greenhouse Gas Control, 11,
2012.
A. Kovalenko, T. Mannseth,
G. Nævdal: Sampling error distribution for the ensemble Kalman filter update
step. Comput. Geosci.. 16 (2), 2012.
A. Kovalenko, T. Mannseth,
G. Nævdal: Error estimate for the ensemble Kalman filter analysis step. SIAM
J. Matrix Analysis and Applications, 32 (4), 2011.
I. Berre, M. Lien, T. Mannseth:
Identification of three-dimensional electric conductivity changes from
time-lapse electromagnetic observations. J. Comput. Phys. 230
(2011), 3915-3928.
T. Feng, T. Mannseth:
Impact of time-lapse seismic data for permeability estimation. Comput. Geosci.
14 (2010), 705-719.
I. Berre, M. Lien, T.
Mannseth: Multi-level parameter structure identification for two-phase
porous-media flow problems using flexible representations. Advances in Water
Resources 32 (2009), 1777-1788.
T. Feng, T. Mannseth: Improvements
on a predictor-corrector strategy for parameter estimation with several data
types. Inverse Problems 25 (10), 2009.
S. A. Bakr, T. Mannseth:
Feasibility of simplified integral equation modeling of low-frequency marine
CSEM with a resistive target. Geophysics 74 (2009), F107-F117.
T. K. Nilssen, K. H.
Karlsen, T. Mannseth, X.-C. Tai: Identification of diffusion parameters in a
nonlinear convection-diffusion equation using the augmented Lagrangian method. Comput.
Geosci. 13 (2009), 317-329.
M. Lien, T. Mannseth:
Sensitivity study of marine CSEM data for reservoir production monitoring. Geophysics.
73 (2008), F151-F163.
M. Lien, J. D. Jansen, T.
Mannseth, R. Brouwer: Multiscale regularization of dynamic water flood
optimization. SPE Journal. 13 (2008), 195-204.
I. Berre, M. Lien, T.
Mannseth: A multi-level strategy for regularized parameter identification using
nonlinear reparameterization with sample application for reservoir
characterization. Journal of Physics, Conference Series 2008; Vol. 135
I. Berre, M. Lien, T.
Mannseth: A level set corrector to an adaptive multiscale permeability
prediction. Comput. Geosci. 11 (2007), 27-42.
T. Mannseth: Analysis and
comparison of mixed finite element- and multi point flux approximation methods
for homogeneous media. Comput. Geosci. 11 (2007), 59-72.
L. K. Nielsen, S. Subbey,
M. Christie, T. Mannseth: Reservoir description using dynamic parameterisation
selection with a combined stochastic and gradient search. Comput. Geosci.
10 (2006), 321-342.
M. Ø. Lien, T. Mannseth:
Resolution power of pressure data for permeability identification. Transport
in Porous Media 64 (2006), 141-159.
T. Mannseth: Permeability
Identification from Pressure Observations: Some Foundations for Multiscale
Regularization. Multiscale Model. Simul. 5 (2006), 21-44.
M. Lien, I. Berre, T.
Mannseth: Combined adaptive multiscale and level set parameter estimation. Multiscale
Model. Simul. 4 (2005), 1349-1372.
H. Kruger, T. Mannseth:
Extension of the parameterization choices in adaptive multiscale estimation. Inverse
Problems in Science and Engineering 13 (2005), 469-484.
A.-A. Grimstad, T.
Mannseth, S. I. Aanonsen, I Aavatsmark, A. Cominelli, S. Mantica:
Identification of unknown permeability trends from history matching of
production data. SPE Journal 9 (2004), 419-428
H. Kruger, A.-A. Grimstad,
T. Mannseth: Adaptive multiscale estimation of a spatially dependent diffusion
function within porous media flow. Inverse Problems in Engineering 11
(2003), 341-358
A.-A. Grimstad, T.
Mannseth, G. Nævdal, H. Urkedal: Adaptive multiscale permeability estimation. Comput.
Geosci. 7 (2003), 1-25
T. K. Nilssen, T. Mannseth,
X.-C. Tai: Permeability estimation with the augmented Lagrangian method for a
nonlinear diffusion equation. Comput. Geosci. 7 (2003), 27-47
A.-A. Grimstad, K.
Kolltveit, T. Mannseth, J.-E. Nordtvedt: Assessing the validity of a linearized
accuracy measure for a nonlinear parameter estimation problem. Inverse
Problems 17 (2001), 1373-1390
G. Nævdal, E.H. Vefring,
A.M. Berg, T. Mannseth, J.-E. Nordtvedt: A New Methodology for the Optimization
of the Placement of Downhole Production-Monitoring Sensors. SPE Journal 6
(2001), 108-116
G. Nævdal, T. Mannseth, K
Brusdal, J.-E. Nordtvedt: Multi-scale estimation with spline-wavelets, with
application to two-phase porous-media flow. Inverse Problems 16
(2000), 315-332.
K. Brusdal, T. Mannseth:
Basis norm rescaling for nonlinear parameter estimation. SIAM J. Sci.
Comput. 21 (2000), 2114-2125
A.-A. Grimstad, T.
Mannseth: Nonlinearity, scale, and sensitivity for parameter estimation
problems. SIAM J. Sci. Comput. 21 (2000), 2096-2113.
K. Brusdal, H. K. Dahle, K.
Hvistendahl Karlsen, T. Mannseth: A study of the modeling error in two operator
splitting algorithms for porous media flow. Comput. Geosci. 2
(1998), 23-36.
I. Aavatsmark, T. Barkve,
Ø. Bøe, T. Mannseth: Discretization on unstructured grids for inhomogeneous,
anisotropic media. Part I: Derivation of the methods. SIAM Journal on
Scientific Computing 19 (1998), 1700-1716.
I. Aavatsmark, T. Barkve,
Ø. Bøe, T. Mannseth: Discretization on unstructured grids for inhomogeneous,
anisotropic media. Part II: Discussion and numerical results. SIAM Journal
on Scientific Computing 19 (1998), 1717-1736.
I. Aavatsmark, T. Barkve,
T. Mannseth: Control-volume discretization methods for 3D quadrilateral grids
in inhomogeneous, anisotropic reservoirs. SPE Journal 3 (1998),
146-154.
I. Aavatsmark, T. Barkve,
Ø. Bøe, T. Mannseth: Discretization on non-orthogonal, quadrilateral grids for
inhomogeneous, anisotropic media. Journal of Computational Physics 127
(1996), 2-14.
I. Aavatsmark, T. Barkve,
Ø. Bøe, T. Mannseth: Discretization on triangular grids for general media. ZAMM
76 (1996).
T. Mannseth: An analysis of
the robustness of some incomplete factorizations. SIAM J. Sci. Comput. 16
(1995), 1428-1450.
Publications
in conference proceedings (since 1995):
S. Tveit, T. Mannseth: Identification of geothermal
reservoirs from ensemble-based Bayesian inversion of 3D MT data, expanded abstract in Proc. SEG
88ht International Exposition and Annual Meeting, Anaheim, CA, October 2018.
K. Fossum, T. Mannseth: A novel multilevel
method for assimilating spatially dense data, Proc. ECMOR XVI – 16^{th} European Conference on the Mathematics
of Oil Recovery, Barcelona, Spain, September 2018.
S. Tveit, T. Mannseth, M. Jakobsen: Discriminating time-lapse saturation
and pressure changes in CO_{2} monitoring from seismic waveform and CSEM
data using ensemble-based Bayesian inversion, expanded abstract in Proc. SEG 86st
International Exposition and Annual Meeting, Dallas, TX, October 18^{th} -21^{th}
2016.
K. Fossum, T. Mannseth: Large-ensemble data
assimilation using an upscaled model, Proc. ECMOR XV – 15^{th} European
Conference on the Mathematics of Oil Recovery, Amsterdam, the Netherlands,
August/September 2016.
K. Fossum, T. Mannseth: Evaluation of
ordered sequential assimilation for improved EnKF
sampling, Proc.
ECMOR XIV – 14^{th} European Conference on the Mathematics of Oil
Recovery, Catania, Italy, September 2014.
S. Tveit, S. A. Bakr, M. Lien, T. Mannseth: Ensemble-based,
Bayesian inversion of CSEM data using structural prior information,
expanded abstract in Proc. 76th EAGE Conference and Exhibition, Amsterdam, The
Netherlands, June 17^{th} -19^{th} 2014.
S. A. Bakr, T. Mannseth: Hybrid method for
modeling the CSEM response of a complex geoelectrical subsurface, expanded
abstract in Proc. 76th EAGE Conference and Exhibition, Amsterdam, The
Netherlands, June 17^{th} -19^{th} 2014.
H. K. Hvidevold,
G. Alendal, T. Johannessen, T. Mannseth: Assessing model uncertainties
through proper experimental design, GHGT-11; International Conference on
Greenhouse Gas Control, Kyoto, Japan, November 2012.
K. Fossum, T. Mannseth, D. Oliver, H.J. Skaug: Numerical comparison of Ensemble Kalman Filter
and Randomized Maximum Likelihood, Proc. ECMOR XIII – 13^{th} European
Conference on the Mathematics of Oil Recovery, Biarritz, France, September 2012.
T. Gentilhomme, T.
Mannseth, D. Oliver, G. Caumon, R. Moyen: Smooth multi-scale parameterization for
integration of seismic and production data using second-generation wavelets,
Proc. ECMOR XIII – 13^{th}
European Conference on the Mathematics of Oil Recovery, Biarritz, France,
September 2012.
S. A. Bakr, M. Lien, T. Mannseth: Performance
of a Fast Approximate Solver in Identification of
Electric Conductivity Changes from Time-lapse CSEM, 74th EAGE
Conference and Exhibition, (Expanded Abstracts), Copenhagen, Denmark, June
4^{th} - 7^{th} 2012.
S. A. Bakr, T. Mannseth :
Order-of-magnitude analysis of the range of validity of a low-frequency
approximation for CSEM, SEG 81st International Exposition and Annual Meeting,
(Expanded abstracts), San Antonio, TX, USA, September 18-23, 2011.
I. Berre, M. Lien, T. Mannseth: Robust
inversion of controlled source electromagnetic data for production monitoring. SEG
80th International Exposition and Annual Meeting, (Expanded abstracts),
Denver, CO, USA, October 2010.
A. Kovalenko, T. Mannseth,
G. Nævdal: Error estimate for the ensemble Kalman filter update step. ECMOR
XII – 12th European Conference on the Mathematics of Oil Recovery, Oxford,
UK, September 2010.
T. Feng, T. Mannseth:
Assessing the impact of different types of time-lapse seismic data on
permeability estimation. ECMOR XII – 12th European Conference on the
Mathematics of Oil Recovery, Oxford, UK, September 2010.
S. A. Bakr, T. Mannseth:
Numerical investigation of the range of validity of a low-frequency approximation
for CSEM. 72nd EAGE Conference and Exhibition, (Expanded abstracts),
Barcelona, Spain, June 2010.
S. A. Bakr, T. Mannseth:
Fast 3D modelling of the CSEM response of petroleum reservoirs. SEG 79th
International Exposition and Annual Meeting, (Expanded abstracts), Houston,
TX, USA, October 2009.
T. Feng, T. Mannseth, S. I.
Aanonsen: Randomized maximum likelihood with permeability samples generated by
a predictor-corrector technique. SPE 118975, Proc. 2009 SPE Reservoir
Simulation Symposium, The Woodlands, TX, February 2009.
A. Fahimuddin, S. I.
Aanonsen, T. Mannseth: Effect of large number of measurements on EnKF model
updating. ECMOR XI – 11th European Conference on the Mathematics of Oil
Recovery, Bergen, Norway, September 2008.
T. Feng, T. Mannseth, S. I.
Aanonsen: Generation of permeability samples for uncertainty assessment by a
predictor-corrector technique. ECMOR XI – 11th European Conference on the
Mathematics of Oil Recovery, Bergen, Norway, September 2008.
M. Lien, T. Mannseth: Controlled
source electromagnetic data for production monitoring – a sensitivity study. SEG
77th International Exposition and Annual Meeting, (Expanded abstracts), San
Antonio, TX, USA, September 2007.
I. Berre, F. Clement, M.
Lien, T. Mannseth: Data driven reparameterization structure for estimation of
fluid conductivity. ModelCARE 2007; International Conference on Calibration
and Reliability in Groundwater Modelling: Credibility of Modelling, Copenhagen,
Denmark, September 2007.
M. Lien, I. Berre, T.
Mannseth: Estimation of a piecewise constant function using reparameterized
level-set functions. ECMI 14; The 14th European Conference on Mathematics
for Industry (Extended abstracts), Madrid, Spain, July 2006.
M. Lien, I. Berre, T.
Mannseth: Combined adaptive multiscale and level set parameter estimation. 3rd
International Conference: Inverse Problems; Modeling and Simulation
(Extended abstracts), Fethiye, Turkey, May/June 2006.
M. Lien, D. R. Brouwer, T.
Mannseth, J. D. Jansen: Multiscale regularization of flooding optimization for
smart field management. SPE Intelligent Energy Conference and Exhibition,
Amsterdam, The Netherlands, April 2006.
A.-A. Grimstad, T.
Mannseth: Comparison of methods for downscaling of coarse scale permeability
estimates. ECMOR IX – 9th European Conference on the Mathematics of Oil
Recovery, Cannes, France, August/September 2004.
A.-A. Grimstad, T.
Mannseth: Adaptive multiscale permeability estimation. 1st International
Conference: Inverse Problems; Modeling and Simulation" (Extended
abstracts), Fethiye, Turkey, July 2002.
A.-A. Grimstad, T.
Mannseth, S. I. Aanonsen, I Aavatsmark, A. Cominelli, S. Mantica:
Identification of unknown permeability trends from history matching of
production data. SPE-77485. SPE 2002 Annual Technical Conference and
Exhibition, San Antonio, TX, USA, September/October 2002.
A.-A. Grimstad, H. Kruger,
T. Mannseth, G. Nævdal, H. Urkedal: Adaptive selection of parameterization for
reservoir history matching. ECMOR VIII – 8th European Conference on
Mathematics of Oil Recovery, Freiberg, Germany, September 2002.
G. Nævdal, T. Mannseth, E.
H. Vefring: Instrumented wells and near-well reservoir monitoring through
ensemble Kalman filter. ECMOR VIII – 8th European Conference on Mathematics
of Oil Recovery, Freiberg, Germany, September 2002.
H. Kruger, A.-A. Grimstad,
T. Mannseth: Adaptive multiscale estimation of a spatially dependent diffusion
function within porous media flow. 4th International Conference on Inverse
Problems in Engineering: Theory and Practice, Angra dos Reis, Brazil, May
2002.
G. Nævdal, T. Mannseth, E.
H. Vefring: Near-well reservoir monitoring through ensemble Kalman filter. SPE/DOE
Thirteenth Symposium on Improved Oil Recovery, Tulsa, OK, USA, April 2002.
G. Nævdal, E.H. Vefring,
A.M. Berg, T. Mannseth, J.-E. Nordtvedt: A New Methodology for the Optimization
of the Placement of Downhole Production-Monitoring Sensors. SPE-59301. SPE/DOE
Improved Oil Recovery Symposium, Tulsa, OK, USA, April 2000.
A.-A. Grimstad, T. Mannseth,
G. Nævdal, H. Urkedal: Scale splitting approach to reservoir characterization.
SPE-66394. SPE Reservoir Simulation Symposium, eds. L. Durlofsky et.
al., Houston, TX, USA, February 2001.
T. Mannseth, J.E.
Nordtvedt, G. Nævdal: Optimal management of advanced wells through fast updates
of the near-well reservoir model. ECMOR VII – 7th European Conference on the
Mathematics of Oil Recovery, Baveno, Italy, September 2000.
T. Mannseth, J.
Mykkeltveit, H.A. Friis, M. Haveraaen: Discretization on non-matching skewed
quadrilaterals in anisotropic and heterogeneous porous media. ECMOR VII –
7th European Conference on the Mathematics of Oil Recovery, Baveno, Italy,
September 2000.
A.-A. Grimstad, T.
Mannseth, J.E. Nordtvedt, G. Nævdal: Reservoir characterization through scale
splitting. ECMOR VII – 7th European Conference on the Mathematics of Oil
Recovery, Baveno, Italy, September 2000.
A.-A. Grimstad, T.
Mannseth, J.E. Nordtvedt, G. Nævdal: Scale splitting can reduce cost and
complexity of reservoir characterization. 62nd EAGE Conference &
Technical Exhibition (extended abstracts), Glasgow, Scotland, May 2000.
J.-E. Nordtvedt, G. Nævdal,
H. Urkedal, A. Berg, T. Mannseth, E. H. Vefring: Experimental design:
Importance in petroleum engineering. 3rd International Conference on Inverse
Problems in Engineering: Theory and Practice, Port Ludlow, WA, USA, June
1999.
T. Mannseth, A.-A.
Grimstad, K. Kolltveit, J.-E. Nordtvedt: Nonlinearity, scale, and sensitivity
for parameter estimation problems: Some implications for error analysis. 3rd
International Conference on Inverse Problems in Engineering: Theory and
Practice, WA, USA, June 1999.
T. Mannseth, K. Brusdal,
A.-A. Grimstad, J.-E. Nordtvedt, G. Nævdal: Nonlinearity, scale, and
sensitivity for parameter estimation problems: Some implications for estimation
algorithms. 3rd International Conference on Inverse Problems in Engineering:
Theory and Practice, Port Ludlow, WA, USA, June 1999.
T. Mannseth: Prediction
uncertainty assessment through scale splitting. EAGE/SPE International
Symposium on Petroleum Geostatistics (extended abstracts), Toulouse,
France, April 1999.
Mannseth, T., Mykkeltveit
J., Nordtvedt J. E., Sylte, A.: Effects of rock heterogeneities on capillary
pressure and relative permeabilities. SPE EUROPEC-98, the Hague, the
Netherlands, 1998.
Sylte, A., Mannseth, T.,
Mykkeltveit J., Nordtvedt J. E.: Relative permeability and capillary pressure:
Effects of rock heterogeneity. Society of Core Analysts 1998 International
Symposium, Montpellier, France, 1998.
I. Aavatsmark, T. Barkve,
T. Mannseth: Control-volume discretization methods for 3D quadrilateral grids
in inhomogeneous, anisotropic reservoirs. SPE-38000. SPE Reservoir
Simulation Symposium, eds. L. K. Thomas et. al., Dallas, TX, USA, June
1997.
Grimstad, A. A., Kolltveit,
K., Nordtvedt J. E., Watson, A. T., Mannseth, T., Sylte, A.: The uniqueness and
accuracy of porous media multiphase properties estimated from displacement
experiments. Society of Core Analysts 1997 International Symposium,
Calgary, Canada, 1997.
I. Aavatsmark, T. Barkve,
Ø. Bøe, T. Mannseth: A class of discretization methods for structured and
unstructured grids in anisotropic, inhomogeneous media. ECMOR V - 5th
European Conference on the Mathematics of Oil Recovery, eds. Z. E.
Heinemann and M. Kriebernegg, Leoben, Austria, September 1996.
I. Aavatsmark, T. Barkve,
Ø. Bøe, T. Mannseth: Discretization on general grids for general media. 9th
Conference of the European Consortium for Mathematics in Industry,
Copenhagen, Denmark, 1996.