Leeuwenburgh, O.

Profile

2017 – present Senior Research Associate (part-time) at TU Delft

2007 – present Senior Scientist at TNO

2005 – 2007 Postdoc at IMAU, Utrecht University

2002 – 2005 Postdoc at KNMI/Royal Netherlands Meteorological Institute

2000 – 2002 Postdoc at Scripps Institution of Oceanography, UCSD

1997 – 2000 PhD in Geophysics, University of Copenhagen

1989 – 1995 MSc in Geodesy, TU Delft

Teaching

AES 1490 Advanced Reservoir Simulation

Research interest

My main research interests are conditioning of models to data (data assimilation/parameter estimation/inversion), model simulation, and model-based optimization, with a particular interest in ensemble-based methods. I have applied such methods in the past to ocean models (global ocean tides and state estimation), and currently focus on subsurface flow models as used for closed-loop reservoir management, with applications to oil and natural gas production, CO2 storage, and geothermal heat recovery. Related topics include the construction of fast models through model order reduction and data-driven models. Activities on these topics are clustered in the Smart Fields theme at TU Delft.

Recent MSc projects

Wind-powered water injection in offshore oilfields
Optimization of radial jetted well design
Optimization of in-depth diversion strategies
Comparison of multi-model history matching methods
Life-cycle optimization of reservoir operating ranges
Simulation of in-depth water diversion

Please contact me for currently available projects.

Current PhD projects

Model order reduction for reservoir models (with Prof. A. W. Heemink)

Publications

Selected Journal Publications

Xiao, C., O. Leeuwenburgh, H.X. Lin and A. Heemink, Non-intrusive subdomain POD-TPWL for reservoir history matching, Computational Geosciences, doi:10.1007/s10596-018-9803-z, 2018.

Hanea, R.G., P. Casanova, L. Hustoft, R.B. Bratvold, R. Nair, C. Hewson, O. Leeuwenburgh and R. M. Fonseca, Drill and learn: a decision making workflow to quantify Value of Learning, SPE Reservoir Evaluation and Engineering, doi:10.2118/182719-PA, 2018.

Zhang, Y., and O. Leeuwenburgh, Image-oriented distance parameterization for ensemble-based seismic history matching, Computational Geosciences, 21:713-731, DOI: 10.1007/s10596-017-9652-1, 2017.

Chen, B., R.M. Fonseca, O. Leeuwenburgh and A.C. Reynolds, Minimizing the risk in the robust life-cycle production optimization using stochastic simplex approximate gradients, Journal of Petroleum Science and Engineering, 153:331-344, DOI 10.1016/j.petrol.2017.04.001, 2017.

Leeuwenburgh, O., S. Meekes, V. Vandeweijer and J. Brouwer, Stochastic history matching to time-lapse seismic of a CO2-EOR project sector model, International Journal of Greenhouse Gas Control 54P2, pp. 441-453, DOI: 10.1016/j.ijggc.2016.05.027, 2016.

Juez-Larré, J., G. Remmelts, J. Breunese, S. van Gessel and O. Leeuwenburgh, Using underground gas storage to replace the swing capacity of the giant natural gas field of Groningen in the Netherlands. A reservoir performance feasibility study, Journal of Petroleum Science and Engineering, 145, 34-53, 2016.

Fonseca, R.M., O. Leeuwenburgh, E. Della Rossa, P.M.J. Van den Hof, and J.D. Jansen, Ensemble-based multi-objective optimization of on-off control devices under geological uncertainty, SPE RE&R, doi: 10.2118/173268-PA, 2015.

Stordal, A. S. , S. P. Szklarz, and O. Leeuwenburgh, A theoretical look at ensemble-based optimization in reservoir management, Math. Geosci., doi:10.1007/s11004-015-9598-6, 2015.

Leeuwenburgh, O., F. Neele, C. Hofstee, P. J. Weijermans, H. de Boer, P. Oosthoek, A. Lefebvre, R. Godderij, and M. Gutierrez-Neri, Enhanced gas recovery – a potential ‘U’ for CCUS in The Netherlands, Energy Procedia 63, 7809-7820, 2014.

Fonseca, R.M., O. Leeuwenburgh, P.M.J. Van den Hof, and J.D. Jansen, Improving the Ensemble-Optimization method through covariance-matrix adaptation, SPE Journal, doi:10.2118/163657-PA, 2014.

Fonseca, R. M., O. Leeuwenburgh, and J. D. Jansen, Ensemble based hierarchical multi-objective Production Optimization of Smart Wells, Computational Geosciences, 18:449-461, doi:10.1007/s10596-013-9399-2, 2014.

Leeuwenburgh, O. and R. Arts, Distance parameterization for efficient seismic history matching with the Ensemble Kalman Filter, Computational Geosciences, 18:535-548, doi:10.1007/s10596-014-9434-y, 2014.

Trani, M., R. Arts and O. Leeuwenburgh, Seismic history matching of fluid fronts using the Ensemble Kalman Filter, SPE-163043-PA, SPE Journal, p. 159-171, February 2013.

Peters, E., Y. Chen, O. Leeuwenburgh and D. S. Oliver, Extended Brugge benchmark case for history matching and water flooding optimization, Computers & Geosciences, doi: 10.1016/j.cageo.2012.07.018, 2012.

Trani, M., R. Arts, O. Leeuwenburgh and J. Brouwer, Estimation of changes in saturation and pressure from 4D seismic AVO and time-shift analysis, Geophysics, 76, no. 2, p. C1-C17, doi:10.1190/1.3549756, 2011.

Selected conference papers

Hewson, C, and O. Leeuwenburgh, CO2 Water-Alternating-Gas flooding optimization of the Chigwell Viking ‘I’ pool in the western Canadian Sedimentary Basin, Paper SPE-182596 presented at the SPE Reservoir Simulation Conference held in Montgomery, TX, USA 20-22 February 2017.

Hanea, R.G., P. Casanova, L. Hustoft, R.B. Bratvold, R. Nair, C. Hewson, O. Leeuwenburgh and R. M. Fonseca, Drill and learn: a decision making workflow to quantify Value of Learning, Paper SPE-182719 presented at the SPE Reservoir Simulation Conference held in Montgomery, TX, USA 20-22 February 2017.

Leeuwenburgh, O. and C. Hewson, Field case examples of monitoring and optimization of water-gas recovery strategies, Paper IBP2236_16 presented at the Rio Oil & Gas Expo and Conference, 24-27 October 2016, Rio de Janeiro.

Barros, E.G.D., O. Leeuwenburgh, P.M.J. Van den Hof, and J.D. Jansen, Value of multiple production measurements and water front tracking in closed-loop reservoir management, SPE-175608-MS, paper presented at the SPE Reservoir Characterisation and Simulation Conference and Exhibition held in Abu Dhabi, UAE, 14-16 September, 2015.

Leeuwenburgh, O., P.J.P. Egberts, A.G. Chitu and M. Alim, An ensemble-based method for constrained reservoir life-cycle optimization, paper SPE 174318 presented at EUROPEC 2015, held 1-4 June, Madrid, 2015.

Leeuwenburgh, O., C. Hofstee, and F. Wilschut, An upscaling workflow for recovery evaluation in heavy oil reservoirs, paper WHOC15-373 presented at the World Heavy Oil Congress held 24-26 March, Edmonton, 2015.

Selected Journal Publications - Oceanography

Leeuwenburgh, O., Estimation and correction of surface wind-stress bias in the Tropical Pacific with the Ensemble Kalman Filter, Tellus, 60A, p.716-727, doi:10.1111/j.1600-0870.2008.00325.x, 2008.

Leeuwenburgh, O., Validation of an EnKF system for OGCM initialization assimilating temperature, salinity and surface height measurements, Mon. Wea. Rev., 135, p.125-139,doi:10.1175/MWR3272.1, 2007.

Leeuwenburgh, O., Assimilation of along-track altimeter data in the Tropical Pacific region of an OGCM ensemble, Q. J. R. Meteorol. Society, 131, p.2455-2472, doi:10.1256/qj.04.146, 2005.

Leeuwenburgh, O., G. Evensen and L. Bertino, The impact of ensemble filter definition on the assimilation of temperature profiles in the Tropical Pacific, Q. J. R. Meteorol. Soc., 131, p.3291-3300, doi:10.1256/qj.05.90, 2005.

Leeuwenburgh, O. and D. Stammer, Uncertainties in altimetry-based velocity estimates, J. Geophys. Res., 107 (C10), 3175, doi:10.1029/2001JC000937, 2002.

Leeuwenburgh, O. and D. Stammer, The effect of surface currents on sea surface temperature, J. Phys. Oceanogr., 31, 2340-2358, 2001.