Seismic History Matching of Nelson Using Time-Lapse Seismic Data: An Investigation of 4D Signature Normalization
- Alkireza Kazemi (Heriot-Watt University) | Karl Stephen (Herot-Watt University) | Asghar Shams (Heriot-Watt University)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- October 2011
- Document Type
- Journal Paper
- 621 - 633
- 2011. Society of Petroleum Engineers
- 5.5.8 History Matching, 5.1.8 Seismic Modelling, 5.1.9 Four-Dimensional and Four-Component Seismic
- 4D, Normalization, Time-lapse seismic, History matching
- 6 in the last 30 days
- 616 since 2007
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History matching of a reservoir model is always a difficult task. In some fields, we can use time-lapse (4D) seismic data to detect production-induced changes as a complement to more conventional production data. In seismic history matching, we predict these data and compare to observations. Observed time-lapse data often consist of relative measures of change, which require normalization. We investigate different normalization approaches, based on predicted 4D data, and assess their impact on history matching.
We apply the approach to the Nelson field in which four surveys are available over 9 years of production. We normalize the 4D signature in a number of ways. First, we use predictions of 4D signature from vertical wells that match production, and we derive a normalization function. As an alternative, we use crossplots of the full-field prediction against observation. Normalized observations are used in an automatic-history-matching process, in which the model is updated. We analyze the results of the two normalization approaches and compare against the case of just using production data.
The result shows that when we use 4D data normalized to wells, we obtain 49% reduced misfit along with 36% improvement in predictions. Also over the whole reservoir, 8 and 7% reduction of misfits for 4D seismic are obtained in history and prediction periods, respectively. When we use only production data, the production history match is improved to a similar degree (45%), but in predictions, the improvement is only 25% and the 4D seismic misfit is 10% worse.
Finding the unswept areas in the reservoir is always a challenge in reservoir management. By using 4D data in history matching, we can predict reservoir behavior better and identify regions of remaining oil or better.
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Aanonsen, S.I., Aavatsmark, I., Barkve, T., Cominelli, A.,Gonard, R., Gosselin, O., Kolasinski, M., and Reme, H. 2003. Effect of ScaleDependent Data Correlations in an Integrated History Matching Loop CombiningProduction Data and 4D Seismic Data. Paper SPE 79665 presented at the SPEReservoir Simulation Symposium, Houston, 3-5 February. http://dx.doi.org/10.2118/79665-MS.
Arenas, E.M., Oldenziel, T., and Van Kruijsdijk, C.P.J.W. 2001.History Matching a Reservoir Model to Time-Lapse Seismic using the Pilot PointMethod. Presented at the EAGE Conference and Technical Exhibition, Amsterdam,11-15 June.
Backus, G.E. 1962. Long-wave elastic anisotropy produced byhorizontal layering. J. Geophysical Research 67 (11):4427-4440. http://dx.doi.org/10.1029/JZ067i011p04427.
Castro, S.A. 2007. A Probabilistic Approach to JointlyIntegrate 3D/4D Seismic Production Data and Geological Information for BuildingReservoir Models. PhD thesis, Stanford University, Stanford, California, USA(December 2007).
Clifford, P.J., Trythall, R., Parr, R.S., Moulds, T.M., Cook,T., Allan, P.M., and Sutcliffe, P. 2003. Integration of 4D Seismic Data intothe Management of Oil Reservoirs with Horizontal Wells between Fluid Contacts.Paper SPE 83956 presented at Offshore Europe, Aberdeen, 2-5 September. http://dx.doi.org/10.2118/83956-MS.
Connolly, P. 1999. A Simple Robust Algorithm for Seismic Net Pay Estimation.The Leading Edge 26 (10): 1278-1282. http://dx.doi.org/10.1190/1.2794386.
de Marseily, G., Levendan, G., Boucher, M., and Fasanino, G.1984. Interpretation of interference tests in a well field using geostatisticaltechniques to fit the permeability distributions in a reservoir model. InGeostatistics for Natural Resource Characterisation, ed. G. Verly, M.David, A.G. Journel, and A. Marechal, Part 2, 831-849. Dordrecht, TheNetherlands: NATO-ASI series C122, D. Reidel Publishing Company.
Department of Energy & Climate Change. 2011. UK Monthly OilProduction (M3), https://www.og.decc.gov.uk/pprs/full_production.htm(accessed 2009).
Emerick, A.A., de Moraes, R.J., and Rodrigues, J.R.P. 2007.History Matching 4D Seismic Data With Efficient Gradient Based Methods. PaperSPE 107179 presented at the EUROPEC/EAGE Conference and Exhibition, London,11-14 June. http://dx.doi.org/10.2118/107179-MS.
FrontSIM User Guide. 2009. Abingdon, UK:Schlumberger/GeoQuest.
Gosselin, O., van den Berg, S., and Cominelli, A. 2001.Integrated History-Matching of Production and 4D Seismic Data. Paper SPE 71599presented at the SPE Annual Technical Conference and Exhibition, New Orleans,30 September-3 October. http://dx.doi.org/10.2118/71599-MS.
Guérillot, D. and Pianelo, L. 2000. Simultaneous Matching ofProduction Data and Seismic Data for Reducing Uncertainty in ProductionForecasts. Paper SPE 65131 presented at the SPE European Petroleum Conference,Paris, 24-25 October. http://dx.doi.org/10.2118/65131-MS.
Huang, X.R., Meister, L., and Workman R. 1997. ReservoirCharacterization by Integration of Time-lapse Seismic and Production Data. SPE38695 presented at the SPE Annual Technical Conference and Exhibition, SanAntonio, Texas, USA, 5-8 October. http://dx.doi.org/10.2118/38695-MS.
Jafarpour, B. and McLaughlin, D.B. 2009. ReservoirCharacterization With the Discrete Cosine Transform. SPE J. 14 (1): 182-201. SPE-106453-PA. http://dx.doi.org/10.2118/106453-PA.
Jin, L., Sen, M.K., Stoffa, P.L., and Seif, R.K. 2007. OptimalModel Parameterization in Stochastic Inversion for Reservoir Properties UsingTime-Lapse Seismic and Production Data. Presented at the Society of ExplorationGeophysicists International Exposition and Annual Meeting (SEG San Antonio2007), San Antonio, Texas, USA, 23-28September.
Kazemi, A. 2011. Optimal Parameter Updating and Appropriate 4Dseismic Normalization in Seismic History Matching of the Nelson Field. PhDthesis, Heriot-Watt University, Edinburgh, Scotland, UK.
Kazemi, A. and Stephen, K.D. 2010. Optimal Parameter Updatingin Assisted History Matching of the Nelson Field using Streamlines as a Guide.Paper SPE 131540 presented at the SPE EUROPEC/EAGE Annual Conference andExhibition, Barcelona, Spain, 14-17 June. http://dx.doi.org/10.2118/131540-MS.
Kazemi, A. and Stephen, K.D. 2011. Automatic Production andSeismic History Matching by Updating Locally and by Geological Environment inthe Nelson field. Paper SPE 143629 prepared for presentation at the SPEEUROPEC/EAGE Conference and Exhibition, Vienna, Austria, 23-26 May.
Kretz, V., Le Ravalec-Dupin, M., and Roggero, F. 2002. AnIntegrated Reservoir Characterization Study Matching Production Data and 4DSeismic. Paper SPE 77516 presented at the SPE Annual Technical Conference andExhibition, San Antonio, Texas, USA, 29 September-2 October. http://dx.doi.org/10.2118/77516-MS.
Kyte, J.R. and Berry, D.W. 1975. New Pseudo Functions toControl Numerical Disperison. SPE J. 15 (4): 269-276.SPE-5105-PA. http://dx.doi.org/10.2118/5105-PA.
Lancaster, S. and Whitcombe, D. 2000. Fast Track ColouredInversion. Proc., Annual International Meeting of the Society ofExploration Geophysicists, 1572-1575.
Lygren, M., Fagervik, K., Valen, T.S., Hetelid, A., Berge, G.,Dahl, G.V., Sønneland, L., Lie, H. E., and Magnus, I. 2003. A method forperforming history matching of reservoir flow models using 4D seismic data.Petroleum Geoscience 9 (1): 83-90. http://dx.doi.org/10.1144/1354-079302-532.
MacBeth, C., Stephen, K.D., and McInally, A. 2005. The 4Dseismic signature of oil-water contact movement due to natural production in astacked turbidite reservoir. Geophysical Prospecting 53(2): 183-203. http://dx.doi.org/10.1111/j.1365-2478.2004.00463.x.
Mantica, S., Cominelli, A., and Mantica, G. 2001. CombiningGlobal and Local Optimization Techniques for Automatic History MatchingProduction and Seismic Data. Paper SPE 66355 presented at the SPE ReservoirSimulation Symposium, Houston, 11-14 February. http://dx.doi.org/10.2118/66355-MS.
McInally, A.T., Redondo-López, T., Garnham, J., Kunka, J., Brooks, A.D.,Stenstrup Hansen, L., Barclay, F., and Davies, D. 2003. Optimizing 4D fluidimaging. Petroleum Geoscience 9 (1): 91-101. http://dx.doi.org/10.1144/1354-079302-537.
Mezghani, M., Fornel, A., Langlais, V., and Lucet, N. 2004.History Matching and Quantitative Use of 4D Seismic Data for an ImprovedReservoir Characterisation. Paper SPE 90420 presented at the SPE AnnualTechnical Conference and Exhibition, Houston, 26-29 September. http://dx.doi.org/10.2118/90420-MS.
Portella, R.C.M. and Emerick, A.A. 2005. Use of Quantitative4D-Seismic Data in Automatic History Match. Paper SPE 94650 presented at theSPE Latin American and Caribbean Petroleum Engineering Conference, Rio deJaneiro, 20-23 June. http://dx.doi.org/10.2118/94650-MS.
Roggero, F., Ding, D.Y., Berthet, P., Lerat, O., Cap, J., andSchreiber, P.E. 2007. Matching of Production History and 4D SeismicData--Application to the Girassol Field, Offshore Angola. Paper SPE 109929presented at the SPE Annual Technical Conference and Exhibition, Anaheim,California, USA, 11-14 November. http://dx.doi.org/10.2118/109929-MS.
Sambridge, M.S. 1999. Geophysical inversion with aneighbourhood algorithm--I. Searching a parameter space. Geophysical J.International 138 (2): 479-494. http://dx.doi.org/10.1046/j.1365-246X.1999.00876.x.
Sedighi, F. and Stephen, K.D. 2010. Faster Convergence inSeismic History Matching by Dividing and Conquering the Unknowns. SPE J. 15 (4): 1077-1088. SPE-121210-PA. http://dx.doi.org/10.2118/121210-PA.
Skjervheim, J.-A., Evensen, G., Aanonsen, S.I., Ruud, B.O., andJohansen, T.A. 2007. Incorporating 4D Seismic Data in Reservoir SimulationModels Using Ensemble Kalman Filter. SPE J. 12 (3):282-292. SPE-95789-PA. http://dx.doi.org/10.2118/95789-PA.
Staples, R., Hague, P., Cooke, G., Asthon, P., Stammeijer, J.,Jolley, S., Stevens, T., and Marshall, J. 2002. Integrating 4D Sesimic toOptimize Production. Paper SPE 78346 presented at the European PetroleumConferences, Aberdeen, 29-31 October. http://dx.doi.org/10.2118/78346-MS.
Stephen, K.D., Shams, A., and MacBeth, C. 2009. Faster SeismicHistory Matching in a United Kingdom Continental Shelf Reservoir. SPE ResEval & Eng 12 (4): 586-594. SPE-107147-PA. http://dx.doi.org/10.2118/107147-PA.
Stephen, K.D., Soldo, J., MacBeth, C., and Christie, M. 2006.Multiple-Model Seismic and Production History Matching: A Case Study. SPEJ. 11 (4): 418-430. SPE-94173-PA. http://dx.doi.org/10.2118/94173-PA.
Vasco, D.W., Datta-Gupta, A., He, Z., Behrens, R., Rickett, J.,and Condon, P. 2003. Reconciling Time-Lapse Seismic and Production Data UsingStreamline Models: The Bay Marchand Field, Gulf of Mexico. Paper SPE 84568presented at the SPE Annual Technical Conference and Exhibition, Denver, 5-8October. http://dx.doi.org/10.2118/84568-MS.