Key publications

Ensemble Kalman filter / assisted history matching journal papers:

  1. 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
  2. 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
  3. Luo, X. and Hoteit, I.: “Ensemble Kalman filtering with residual nudging”, Tellus A: Meteorology and Oceanography, 64, 17130
  4. Chen, Y. and Oliver, D.: “Information Content in Lagrangian Sensor Measurements for Reservoir Characterization”, published online Computers & Geosciences, 2012
  5. Chen, Y. and Oliver, D.: “Multiscale parameterization with adaptive regularization for improved assimilation of nonlocal observation”, Water Resources Research, 48, W04503, 15 pp, 2012
  6. 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
  1. 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
  2. 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
  3. 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
  4. 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
  5. Kovalenko, A., Mannseth, T. and Nævdal, G.: “Sampling error distribution for the ensemble Kalman filter update step”, Computational Geosciences (2012) 16:455–466
  6. 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
  7. 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
  8. Chen, Y. and Oliver, D.: “Ensemble Randomized Maximum Likelihood Method as an Iterative Ensemble Smoother”, Mathematical Geosciences, Volume 44, Number 1, 1-26
  1. 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
  2. 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
  3. 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)
  4. 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:
  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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