Ensemble Kalman filter / assisted history matching journal papers:
2012:
- Lorentzen, R.J., Flornes, K.M. and Nævdal, G.: “History Matching Channelized Reservoirs Using the Ensemble Kalman Filter”, SPE Journal, Vol. 17, No. 1, March 2012
- Stordal,A.S., Karlsen, H.A., Nævdal, G., Oliver, D. and Skaug, H.J.: «Filtering with state space localized Kalman gain”, Physica D: Nonlinear Phenomena, Volume 241, Issue 13, 1 July 2012, Pages 1123–1135
- Luo, X. and Hoteit, I.: “Ensemble Kalman filtering with residual nudging”, Tellus A: Meteorology and Oceanography, 64, 17130
- Chen, Y. and Oliver, D.: “Information Content in Lagrangian Sensor Measurements for Reservoir Characterization”, published online Computers & Geosciences, 2012
- Chen, Y. and Oliver, D.: “Multiscale parameterization with adaptive regularization for improved assimilation of nonlocal observation”, Water Resources Research, 48, W04503, 15 pp, 2012
- Peters, E., Chen, Y., Leeuwenburgh, O. and Oliver, D. S.: “Extended Brugge benchmark case for history matching and water flooding optimization”, published online in Computers & Geosciences, 2012
2011:
- Stordal, A.S., Karlsen, H.A., Nævdal, G., Skaug, H.J. and Vallès, B.: “Bridging the ensemble Kalman filter and particle filters: The adaptive Gaussian mixture filter”, Computational Geoscience, Volume 15, Number 2, p293-305
- Oliver, D., Chen, Y. and Nævdal, G.: “Updating Markov chain models using the ensemble Kalman filter”, Computational Geosciences, Volume 15, Number 2, p 325-344
- Nævdal, G., Hanea, R., Oliver, D. and Vallès, B.: “Ensemble Kalman filter for model updating ��� A special issue”, Comput Geosci (2011), Volume 15, Number 2, p223-224
- Lorentzen, R.J. and Nævdal, G.: “An iterative ensemble Kalman filter”, IEEE Transactions on Automatic Control, Vol. 56, no. 8, August 2011, pg 1990-1995
- Kovalenko, A., Mannseth, T. and Nævdal, G.: “Sampling error distribution for the ensemble Kalman filter update step”, Computational Geosciences (2012) 16:455–466
- Stordal, A.S., Valestrand, R., Karlsen, H.A., Nævdal, G. and Skaug, H.J.: “Comparing the adaptive Gaussian mixture filter with the ensemble Kalman filter on synthetic reservoir models”, Computational Geosciences, Volume 16, Number 2, 467-482
- Kovalenko, A., Mannseth, T. and Nævdal, G.: “Error estimate for the ensemble Kalman filter analysis step”, SIAM Journal on Matrix Analysis and Applications, Vol.32, No.4, pp.1275-1287
- Chen, Y. and Oliver, D.: “Ensemble Randomized Maximum Likelihood Method as an Iterative Ensemble Smoother”, Mathematical Geosciences, Volume 44, Number 1, 1-26
2010:
- Valestrand, R., Sagen, J., Nævdal, G. and Huseby, O.: “The Effect of Including Tracer Data in the ensemble Kalman filter Approach��, SPE Journal, Volume 15, Number 2, June 2010, p 454-470
- Thulin, K., Nævdal, G., Skaug, H.J. and Aanonsen, S.I.: “Quantifying Monte Carlo Uncertainty in the ensemble Kalman filter”, SPE Journal, Volume 16, Number 1, March 2011, pp. 172-182
- Huseby, O., Valestrand, R., Nævdal, G. and Sagen, J.: "Natural and Conventional Tracers for Improving Reservoir Models Using the EnKF Approach", SPE Journal, Vol. 15, 2010, No. 4, pp. 1047-1061 (SPE 121190)
- Peters, E., Arts, R.J., Brouwer, G.K., Geel, C.R., Cullick, S., Lorentzen, R.J., Chen, Y., Dunlop, K.N.B., Vossepoel, F.C., Xu, R., Sarma, P., Alhutali, A.H. and Reynolds, A.C.: ���Results of the Brugge Benchmark Study for Flooding Optimization and History Matching”, SPE Reservoir Evaluation and Engineering, Vol. 13, no.3, June 2010, pp. 391-405
Historical key publications:
- Aanonsen, S.I., Nævdal, G., Oliver, D.S., Reynolds, A.C., and Vallès, B.: “The Ensemble Kalman Filter in Reservoir Engineering--a Review”, SPE Journal 14 (3): 393-412, 2009
- Nævdal, G., Haugen, V., Natvik, L-J., Evensen, G., Berg, A.M. and Flornes, K.M..: “History Matching Using the Ensemble Kalman Filter on a North Sea Field Case,”, SPE 102430, SPE Annual Technical Conference and Exhibition, September 24-27, 2006, San Antonio, Texas, USA
- Lorentzen, R.J., Nævdal, G., Vallès, B., Berg, A.M. and Grimstad, A.A.: “Analysis of the ensemble Kalman filter for estimation of permeability and porosity in reservoir models”, SPE 96375, SPE Annual Technical Conference and Exhibition, 9 - 12 October, 2005, Dallas, Texas, USA
- Lorentzen, R.J., Nævdal, G. and Lage, A.C.V.M.: “Tuning of parameters in a two-phase flow model using an ensemble Kalman filter”, International Journal of Multiphase Flow,2003, 29, 1283-1309
- Nævdal, G., Vefring, E.H., Johnsen, L.M. and Aanonsen S.I.: “Reservoir Monitoring and Continuous Model Updating Using Ensemble Kalman Filter”, SPE 84372, SPE Annual Technical Conference and Exhibition, 5-8 October 2003, Denver, Colorado, USA
- Nævdal, G., Mannseth, T. and Vefring, E.H.: “Near-Well Reservoir Monitoring Through Ensemble Kalman Filter”, SPE 75235, SPE/DOE Thirteenth Symposium of Improved Oil Recovery, April 13-17, 2002, Tulsa, Oklahoma, USA
- Lorentzen, R.J., Fjelde, K.K., Frøyen, J., Lage, A.C.V.M., Nævdal, G. and Vefring, E.H.: “Underbalanced and Low-head Drilling Operations: Real Time Data Interpretataion of Measured Data and Operational Support”, SPE 71384, 2001 Annual Technical Conference and Exhibition, September 30 - October 3, 2001, New Orleans, Louisiana, USA