Forecasting Incremental Oil Production of a Polymer-Pilot Extension in the Matzen Field Including Quantitative Uncertainty Assessment
- Maria-Magdalena Chiotoroiu (OMV) | Jörg Peisker (OMV) | Torsten Clemens (OMV) | Marco R. Thiele (Streamsim Technologies; Stanford University)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- November 2017
- Document Type
- Journal Paper
- 894 - 905
- 2017.Society of Petroleum Engineers
- Tracer, Incremental Oil, Uncertainty Assessment, Clustering, Polymer Pilot
- 6 in the last 30 days
- 298 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 12.00|
|SPE Non-Member Price:||USD 35.00|
The polymer-pilot project performed in the 8 TH reservoir of the Matzen field showed encouraging incremental oil production. To improve further the understanding of recovery effects resulting from polymer injection, an extension of the pilot is planned by adding a second polymer injector.
Forecasting of the incremental oil production needs to take the uncertainty of the geological models and dynamic parameters into account. We propose a work flow that is composed of a geological sensitivity and clustering step followed by a dynamic-calibration step for decreasing the objective function (OF) to improve the reliability of a probabilistic forecast of the incremental oil recovery.
For the geological sensitivity, hundreds of geological realizations were generated by taking the uncertainty in the correlation of the sand and shale layers, logs, cores, and geological facies into account. The simulated tracer response was used as dissimilarity distance to classify the geological realizations. Clustering was then applied to select 70 representative realizations (centroids) from a total of 800 to use in the full-physics dynamic simulation.
In the dynamic simulation, an OF composed of liquid rate and tracer concentration of the produced fluids was introduced.
To improve the calibration further, the P50 value of incremental oil production as derived from simulation was compared with the incremental oil production determined from decline-curve analysis (DCA) from the wells surrounding the polymer-injection well. The mismatch between the P50 and the DCA was improved by adjusting polymer viscosity.
The calibrated models were then used for both a probabilistic forecast of incremental oil caused by an additional polymer injector and an estimate of the expected polymer concentration at the producing wells.
|File Size||1 MB||Number of Pages||12|
Aanonsen, S. I., Naevdal, G., Oliver, D. S. et al. 2009. The Ensemble Kalman Filter in Reservoir Engineering—A Review. SPE J. 14 (3): 393–412. SPE-117274-PA. https://doi.org/10.2118/117274-PA.
Baker, M. 2015. Use of Cluster Analysis to Improve Representative Model Selection: A Case Study. Presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, Nusa Dua, Bali, Indonesia, 20–22 October. SPE-176408-MS. https://doi.org/10.2118/176408-MS.
Bianco, A., Cominelli, A., Dovera, L. et al. 2007. History Matching and Production Forecast Uncertainty by Means of Ensemble Kalman Filter: A Real Field Application. Presented at the SPE EUROPEC/EAGE Annual Conference and Exhibition, London, 11–14 June. SPE-107161-MS. https://doi.org/10.2118/107161-MS.
Borg, I. and Groenen, P. J. F. 1997. Modern Multidimensional Scaling: Theory and Applications. Springer series in statistics, Springer.
Caers, J. 2011. Modeling Uncertainties in the Earth Sciences, first edition. Wiley-Blackwell.
Cheng, J., Wei, J., Song, K. et al. 2010. Study on Remaining Oil Distribution After Polymer Injection. Presented at the SPE Annual Technical Conference and Exhibition, Florence, Italy, 19–22 September. SPE-133808-MS. https://doi.org/10.2118/133808-MS.
Cheng, H., Shook, G. M., Taimur, M. et al. 2012. Interwell Tracer Tests to Optimize Operating Conditions for a Surfactant Field Trial: Design, Evaluation, and Implications. SPE Res Eval & Eng 15 (2): 229–242. SPE-144899-PA. https://doi.org/10.2118/144899-PA.
Clemens, T., Lu¨ftenegger, M., Laoroongroj, A. et al. 2016. The Use of Tracer Data To Determine Polymer-Flooding Effects in a Heterogeneous Reservoir, 8 Torton Horizon Reservoir, Matzen Field, Austria. SPE Res Eval & Eng. 19 (4). SPE-174349-PA. https://doi.org/10.2118/174349-PA.
De Koning, E. J. L., Mentzer, E., and Heemskerk, J. 1988. Evaluation of a Polymer Pilot Flood in the Marmul Field, Oman. Presented at the 63rd SPE Annual Technical Conference and Exhibition, Houston, 2–5 October. SPE-18092-MS. https://doi.org/10.2118/18092-MS.
Fenwick, D., Scheidt, C., and Caers, J. 2014. Quantifying Asymmetric Parameter Interactions in Sensitivity Analysis: Application to Reservoir Modeling. Mathematical Geosciences 46 (4): 493–511.
Gross, H., Honarkhah, M., and Chen, Y. 2011. Offshore Gas Condensate Field History-Match and Predictions: Ensuring Probabilistic Forecasts Are Built With Diversity in Mind. Presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Jakarta, 20–22 September. SPE-147848-MS. https://doi.org/10.2118/147848-MS.
Guan, L., Du, Y., Johnson, S. G. et al. 2005. Advances of Interwell Tracer Analysis in the Petroleum Industry. J Can Pet Technol. 44 (5): 12–15. PETSOC-05-05-TN2. https://doi.org/10.2118/05-05-TN2.
Hite, R. J., Avashti, S., and Bondor, P. L. 2004. Planning EOR Projects. Presented at the 2004 International Petroleum Conference, Puebla, Mexico, 8–9 November. SPE-92006-MS. https://doi.org/10.2118/92006-MS.
Huseby, O., Valestrand, R., Naevdal, G. et al. 2010. Natural and Conventional Tracers for Improving Reservoir Models Using the EnKF Approach. SPE J. 15 (4). SPE-121190-PA. https://doi.org/10.2118/121190-PA.
Hwang, J., Bryant, E. C., and Sharma, M. M. 2015. Stress Reorientation in Waterflooded Reservoirs. Presented at the SPE Reservoir Simulation Symposium, Houston, 23–25 February. SPE-173220-MS. https://doi.org/10.2118/173220-MS.
Idrobo, E. A., Choudhary, M. K., and Datta-Gupta, A. 2000. Swept Volume Calculations and Ranking of Geostatistical Reservoir Models Using Streamline Simulation. Presented at the SPE/AAPG Western Regional Meeting, Long Beach, California, 19–22 June. SPE-62557-MS. https://doi.org/10.2118/62557-MS.
Jacob, M., Demangel, A., Goldszalu, A. et al. 2015. Impact of Back Produced Polymer on TertiaryWater Treatment Performance. Presented at the SPE Asia Pacific Enhanced Oil Recovery Conference, Kuala Lumpur, 11–13 August. SPE-174683-MS. https://doi.org/10.2118/174683-MS.
Laoroongroj, A., Gumpenberger, T., and Clemens, T. 2014. Polymer Flood Incremental Oil Recovery and Efficiency in Layered Reservoirs Including Non-Newtonian and Viscoelastic Effects. Presented at the SPE Annual Technical Conference and Exhibition, Amsterdam, 27–29 October. SPE-170657-MS. https://doi.org/10.2118/170657-MS.
Lueftenegger, M., Kadnar, R., Puls, C. et al. 2016. Operational Challenges and Monitoring of a Polymer Pilot, Matzen Field, Austria. SPE Prod & Oper 31 (3). SPE-174350-PA. https://doi.org/10.2118/174350-PA.
Mack, J. C. 1989. Volumetric Sweep Improvement in the Heterogeneous Tyler Sand of Central Montana. Presented at the SPE Joint Rocky Mountain Regional/Low-Permeability Reservoirs Symposium, Denver, 6–8 March. SPE-18975-MS. https://doi.org/10.2118/18975-MS.
McLennan, J. A. and Deutsch, C. V. 2005. Ranking Geostatistical Realizations by Measures of Connectivity. Presented at the SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium, Alberta, Canada, 1–3 November. SPE-98168-MS. https://doi.org/10.2118/98168-MS.
Needham. R. B. and Doe, P. 1987. Polymer Flooding Review. J Pet Technol 39 (12). SPE-17140-PA. https://doi.org/10.2118/17140-PA.
Prasad, D., Pandey, A., Kumar, M. S. et al. 2014. Pilot to Full-field Polymer Application in One of the Largest Onshore Fields in India. Presented at the SPE Improved Oil Recovery Symposium, Tulsa, 12–16 April. SPE-169146-MS. https://doi.org/10.2118/169146-MS.
Putz, A. G., Bazin, B., and Pedron, B. M. 1994. Commercial Polymer Injection in the Courtenay Field, 1994 Update. Presented at the SPE 69th Annual Technical Conference and Exhibition, New Orleans, 25–28 September. SPE-28601-MS. https://doi.org/10.2118/28601-MS.
Saad, N., Maroongroge, V., and Kalkomey, C. T. 1996. Ranking Geostatistical Models Using Tracer Production Data. Presented at the European 3D Reservoir Modeling Conference, Stavanger, Norway, 16–17 April. SPE-35494-MS. https://doi.org/10.2118/35494-MS.
Scheidt, C. and Caers, J. 2009. Uncertainty Quantification in Reservoir Performance Using Distances and Kernel Methods—Application to a West Africa Deepwater Turbidite Reservoir. SPE J. 14 (4). SPE-118740-PA. https://doi.org/10.2118/118740-PA.
Seright, R. S., Seheult, M., and Talashek, T. 2009. Injectivity Characteristics of EOR Polymers. SPE-115142-PA. SPE Res Eval & Eng 12 (5): 783–792. SPE-115142-PA. https://doi.org/10.2118/115142-PA.
Sharma, M. M., Pang, S., Wennberg, K. E. et al. 2000. Injectivity Decline in Water-Injection Wells: An Offshore Gulf of Mexico Case Study. SPE Prod & Fac 15 (1). SPE-60901-PA. https://doi.org/10.2118/60901-PA.
Shook, G. M. and Mitchell, K. M. 2009. A Robust Measure of Heterogeneity for Ranking Earth Models: The F-PHI Curve and Dynamic Lorenz Coefficient. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 4–7 October. SPE-124625-MS. https://doi.org/10.2118/124625-MS.
Streamsim Technologies. Reference Manual 3DSL v2015.1217.
Streamsim Technologies. 2015. Reference Manual studioSL v2015.1217.
Taber, J. J., Martin, F. D., and Seright, R. S. 1997. EOR Screening Criteria Revisited—Part 1: Introduction to Screening Criteria and Enhanced Recovery Field Projects. SPE Res Eng 12 (3). SPE-35385-PA. https://doi.org/10.2118/35385-PA.
Tavassoli, Z., Carter, J. N., and King, P. R. 2004. Errors in History Matching. SPE J. 9 (3). SPE-86883-PA. https://doi.org/10.2118/86883-PA.
Teletzke, G. F., Wattenbarger, R. C., and Wilkinson, J. R. 2010. Enhanced-Oil-Recovery Pilot-Testing Best Practices. SPE Res Eval & Eng 13 (1). SPE-118055-PA. https://doi.org/10.2118/118055-PA.
Weiss, W. W. 1992. Performance Review of a Large-Scale Polymer Flood. Presented at the SPE/DOE Enhanced Oil Recovery Symposium, Tulsa, 22–24 April. SPE-24145-MS. https://doi.org/10.2118/24145-MS.
Zechner, M., Clemens, T., Suri, A. et al. 2015. Simulation of Polymer Injection Under Fracturing Conditions—An Injectivity Pilot in the Matzen Field, Austria. Res Eval & Eng 18 (2). SPE-169043-PA. https://doi.org/10.2118/169043-PA.
Zheng, F., Quiroga, P., and Sams, G. W. 2011. Challenges in Processing Produced Emulsion From Chemical Enhanced Oil Recovery—Polymer Flood Using Polyacrylamide. Presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, 19–21 July. SPE-144322-MS. https://doi.org/10.2118/144322-MS.
Zhou, Y., Muggeridge, A. H., Berg, C. F. et al. 2015. Quantifying Viscous Cross-flow and Its Impact on Tertiary Polymer Flooding in Heterogeneous Reservoirs. Presented at the EAGE IOR 2015 18th European Symposium on Improved Oil Recovery, Dresden, Germany, 14–16 April. Paper ThB02. https://doi.org/10.3997/2214-4609.201412152.