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Abstract

Summary

A polymer pilot in the 8 TH reservoir in Austria showed promising results. The Utility Factors were below 2 of kg polymer injected / incremental barrel of oil produced (polymer cost are 2 – 4 USD/kg). Furthermore, substantial incremental oil was produced which might result in economic field implementation. The results triggered the planning for field implementation of polymer flooding.

To optimize the economics of field implementation, a workflow was chosen ensuring that the uncertainty was covered. 1200 geological models were generated covering a variety of different geological concepts. These geological models were clustered based on the dynamic response into 100 representative geological realizations and then used for history matching.

For infill drilling, probabilistic quality maps can be used to find locations. However, injection and production well optimization is more challenging. Introducing probabilistic incremental Net Present Value (NPV) maps allows for selection of locations of injection and production well patterns.

The patterns need to be optimized for geometry and operating parameters under uncertainty. The geometry was optimized in a first step followed by operating parameter optimization. In addition, injectivity effects of vertical and horizontal wells due to the non-Newtonian polymer rheology were evaluated. The last step was full-field simulation using the probabilistic NPV map, optimized well distance and operating parameters.

The resulting Cumulative Distribution Function of incremental NPV showed a Probability of Economic Success (PES) of 91 % and an Expected Monetary Value of 73 mn EUR.

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2019-04-08
2024-04-25
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References

  1. Al-Saadi, F. S., Amri, B. A., Nofli, S. M. et al.
    2012. Polymer Flooding in a Large Field in South Oman–Initial Results and Future Plans. Presented at the SPE EOR Conference at Oil and Gas West Asia, Muscat, Oman, 16–18 April. SPE-154665-MS. https://doi.org/10.2118/154665-MS.
    [Google Scholar]
  2. Baker, L. E.
    1988. Three-Phase Relative Permeability Correlation. Presented at the SPE Enhanced Oil Recovery Symposium, Tulsa, 16–21 April. SPE-17369-MS. https://doi.org/10.2118/17369-MS.
    [Google Scholar]
  3. Batonyi, A., Thorburn, L., and Molnar, S.
    2016. A Reservoir Management Case Study of a Polymer Flood Pilot in Medicine Hat Glauconite C Pool. Presented at the SPE Improved Oil Recovery Conference, Tulsa, 11–13 April. SPE-179555-MS. https://doi.org/10.2118/179555-MS.
    [Google Scholar]
  4. Beliveau, D.
    1995. Heterogeneity, Geostatistics, Horizontal Wells, and Blackjack Poker. J Pet Technol47 (12): 1068–1074. SPE-30745-PA. https://doi.org/10.2118/30745-PA.
    [Google Scholar]
  5. Bentsen, R. G. and Anli, J.
    1976. A New Displacement Capillary Pressure Model. J Can Pet Technol15 (3): 75–79. PETSOC-76-03-10. https://doi.org/10.2118/76-03-10.
    [Google Scholar]
  6. Bouts, M. N. and Rijkeboer, M. M.
    2014. Design of Horizontal Polymer Injectors Requiring Conformance and Sand Control. Presented at the SPE EOR Conference at Oil and Gas West Asia, Muscat, Oman, 31 March–2 April. SPE-169722-MS. https://doi.org/10.2118/169722-MS.
    [Google Scholar]
  7. Chiotoroiu, M.-M., Peisker, J., Clemens, T. et al.
    2017. Forecasting Incremental Oil Production of a Polymer-Pilot Extension in the Matzen Field Including Quantitative Uncertainty Assessment. SPE Res Eval & Eng20 (4): 894–905. SPE-179546-PA. https://doi.org/10.2118/179546-PA.
    [Google Scholar]
  8. Choudhuri, B., Kalbani, A., Cherukapalli, P. K. et al.
    2013. Enhancing Value of Polymer Flood Project With Proactive Well and Reservoir Management. Presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, 2–4 July. SPE-165274-MS. https://doi.org/10.2118/165274-MS.
    [Google Scholar]
  9. Chugunov, N., Ramakrishnan, T. S., Lukyanov, A. et al.
    2015. Method for Adaptive Optimization of EOR Performance Under Uncertainty. Presented at the SPE Reservoir Simulation Symposium, Houston, 23–25 February. SPE-173295-MS. https://doi.org/10.2118/173295-MS.
    [Google Scholar]
  10. Clemens, T., Abdev, J., and Thiele, M.
    2011. Improved Polymer-Flood Management Using Streamlines. SPE Res Eval & Eng14 (2): 171–181. SPE-132774-PA. https://doi.org/10.2118/132774-PA.
    [Google Scholar]
  11. Clemens, T., Kienberger, G., Persaud, M. et al.
    2017. Optimizing Water-Injection Design in a Shallow Offshore Reservoir. SPE Prod & Oper32 (4): 551–563. SPE-180143-PA. https://doi.org/10.2118/180143-PA.
    [Google Scholar]
  12. Clemens, T., Lueftenegger, 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 & Eng19 (4): 655–663. SPE-174349-PA. https://doi.org/10.2118/174349-PA.
    [Google Scholar]
  13. da Cruz, P. S. and Horne, R. N.
    1999. The Quality Map: A Tool for Reservoir Uncertainty Quantification and Decision Making. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 3–6 October. SPE-56578-MS. https://doi.org/10.2118/56578-MS.
    [Google Scholar]
  14. Delamaide, E.
    2014. Polymer Flooding of Heavy Oil–From Screening to Full-Field Extension. Presented at the SPE Heavy and Extra Heavy Oil Conference: Latin America, Medellín, Colombia. 24–26 September. SPE-171105-MS. https://doi.org/10.2118/171105-MS.
    [Google Scholar]
  15. Delamaide, E., Zaitoun, A., Renard, G. et al.
    2014. Pelican Lake Field: First Successful Application of Polymer Flooding in a Heavy Oil Reservoir. SPE Res Eval & Eng17 (3): 340–354. SPE-165234-PA. https://doi.org/10.2118/165234-PA.
    [Google Scholar]
  16. Gadde, P. B. and Sharma, M. M.
    2001. Growing Injection Well Fractures and Their Impact on Waterflood Performance. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 30 September–3 October. SPE-71614-MS. https://doi.org/10.2118/71614-MS.
    [Google Scholar]
  17. Gao, C. H.
    2014. Experiences of Polymer Flooding Projects at Shengli Oilfield. Presented at the SPE EOR Conference at Oil and Gas West Asia, Muscat, Oman, 31 March–2 April. SPE-169652-MS. https://doi.org/10.2118/169652-MS.
    [Google Scholar]
  18. Guimaraes, M. d. S., Schiozer, D. J., and Maschio, C.
    2005. Use of Streamlines and Quality Map in the Optimization of Production Strategy of Mature Fields. Presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Rio de Janeiro, 20–23 June. SPE-94746-MS. https://doi.org/10.2118/94746-MS.
    [Google Scholar]
  19. Gumpenberger, T., Deckers, M., Kornberger, M. et al.
    2012. Experiments and Simulation of the Near-Wellbore Dynamics and Displacement Efficiencies of Polymer Injection, Matzen Field, Austria. Presented at the Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, 11–14 November. SPE-161029-MS. https://doi.org/10.2118/161029-MS.
    [Google Scholar]
  20. Joshi, S. D.
    2003. Cost/Benefits of Horizontal Wells. Presented at the SPE Western Regional/AAPG Pacific Section Joint Meeting, Long Beach, California, 19–24 May. SPE-83621-MS. https://doi.org/10.2118/83621-MS.
    [Google Scholar]
  21. Lee, K., Huh, C., and Sharma, M. M.
    2011. Impact of Fracture Growth on Well Injectivity and Reservoir Sweep During Waterflood and Chemical EOR Processes. Presented at the SPE Annual Technical Conference and Exhibition, Denver, 30 October–2 November. SPE-146778-MS. https://doi.org/10.2118/146778-MS.
    [Google Scholar]
  22. Lee, S. L.
    2009. Application of Horizontal Wells for Injection or Production During Polymer Flood Process. Presented at the Kuwait International Petroleum Conference and Exhibition, Kuwait City, Kuwait, 14–16 December. SPE-127526-MS. https://doi.org/10.2118/127526-MS.
    [Google Scholar]
  23. Li, Z. and Delshad, M.
    2014. Development of an Analytical Injectivity Model for Non-Newtonian Polymer Solutions. SPE J.19 (3): 381–389. SPE-163672-PA. https://doi.org/10.2118/163672-PA.
    [Google Scholar]
  24. Lu¨ftenegger, M., Kadnar, T., Puls, C. et al.
    2016. Operational Challenges and Monitoring of a Polymer Pilot, Matzen Field, Austria. SPE Prod & Oper31 (3): 228–237. SPE-174350-PA. https://doi.org/10.2118/174350-PA.
    [Google Scholar]
  25. Maerker, J. M.
    1975. Shear Degradation of Partially Hydrolyzed Polyacrylamide Solutions. SPE J.15 (4): 311–322. SPE-5101-PA. https://doi.org/10.2118/5101-PA.
    [Google Scholar]
  26. Manichand, R. N., Moe Soe Let, K. P., Gil, L. et al.
    2013. Effective Propagation of HPAM Solutions Through the Tambaredjo Reservoir During a Polymer Flood. SPE Prod & Oper28 (4): 358–368. SPE-164121-PA. https://doi.org/10.2118/164121-PA.
    [Google Scholar]
  27. Manrique, E., Ahmadi, M., and Samani, S.
    2017. Historical and Recent Observations in Polymer Floods: An Update Review. J. Oil Gas Altern. Energ. Sour.6 (5): 17–48. https://doi.org/10.29047/01225383.72.
    [Google Scholar]
  28. Mantilla, C. A. and Srinivasan, S.
    2011. Feedback Control of Polymer Flooding Process Considering Geologic Uncertainty. Presented at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, 21–23 February. SPE-141962-MS. https://doi.org/10.2118/141962-MS.
    [Google Scholar]
  29. Morel, D. C., Zaugg, E., Jouenne, S. et al.
    2015. Dalia/Camelia Polymer Injection in Deep Offshore Field Angola Learnings and In Situ Polymer Sampling Results. Presented at the SPE Asia Pacific Enhanced Oil Recovery Conference, Kuala Lumpur, 11–13 August. SPE-174699-MS. https://doi.org/10.2118/174699-MS.
    [Google Scholar]
  30. Mukmin, M., Azri, N., Al Mjeni, R. et al.
    2012. Polymer Trial Using Horizontal Wells: Conceptual Well Completion Design and Surveillance Planning Aspects. Presented at the SPE EOR Conference at Oil and Gas West Asia, Muscat, Oman, 16–18 April. SPE-154608-MS. https://doi.org/10.2118/154608-MS.
    [Google Scholar]
  31. Novy, R. A.
    1995. Pressure Drops in Horizontal Wells: When Can They Be Ignored? SPE Res Eng10 (1): 29–35. SPE-24941-PA. https://doi.org/10.2118/24941-PA.
    [Google Scholar]
  32. Odi, U., Lane, R. H., and Barrufet, M. A.
    2010. Ensemble Based Optimization of EOR Processes. Presented at the SPE Western Regional Meeting, Anaheim, California, 27–29 May. SPE-132626-MS. https://doi.org/10.2118/132626-MS.
    [Google Scholar]
  33. Puls, C., Clemens, T., Sledz, C. et al.
    2016. Mechanical Degradation of Polymers During Injection, Reservoir Propagation and Production–Field Test Results 8 TH Reservoir, Austria. Presented at SPE Europec featured at 78th EAGE Conference and Exhibition, Vienna, Austria, 30 May–2 June. SPE-180144-MS. https://doi.org/10.2118/180144-MS.
    [Google Scholar]
  34. Seright, R. S.
    2016. How Much Polymer Should Be Injected During a Polymer Flood? Review of Previous and Current Practices. SPE J.22 (1): 1–18. SPE-179543-PA. https://doi.org/10.2118/179543-PA.
    [Google Scholar]
  35. Seright, R. S., Fan, T., Wavrik, K. et al.
    2011. New Insights Into Polymer Rheology in Porous Media. SPE J.16 (1): 35–42. SPE-129200-PA. https:/doi.org/10.2118/129200-PA.
    [Google Scholar]
  36. SerightR. S., Seheult, J. M., and Talashek, T.
    2009. Injectivity Characteristics of EOR Polymers. SPE Res Eval & Eng12 (5): 783–792. SPE-115142-PA. https://doi.org/10.2118/115142-PA.
    [Google Scholar]
  37. 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): 680–692. SPE-118740-PA. https://doi.org/10.2118/118740-PA.
    [Google Scholar]
  38. Sieberer, M., Jamek, K., and Clemens. T.
    2017a. Polymer Flooding Economics, From Pilot to Field Implementation. SPE Econ & Mgmt9 (3): 51–60. SPE-179603-PA. https://doi.org/10.2118/179603-PA.
    [Google Scholar]
  39. Sieberer, M., Peisker, J., Clemens, T. et al.
    2017b. Infill Well Portfolio Management Under Uncertainty—Application to the 8 TH Reservoir, Austria. Presented at SPE Europec featured at 79th EAGE Conference and Exhibition, Paris, 12–15 June. SPE-185803-MS. https://doi.org/10.2118/185803-MS.
    [Google Scholar]
  40. Sorbie, K. S. and Roberts, L. J.
    1984. A Model for Calculating Polymer Injectivity Including the Effect of Shear Degradation. Presented at the SPE Enhanced Oil Recovery Symposium, Tulsa, 15–18 April. SPE-12654-MS. https://doi.org/10.2118/12654-MS.
    [Google Scholar]
  41. Southwick, J. G. and Manke, C. W.
    1988. Molecular Degradation, Injectivity, and Elastic Properties of Polymer Solutions. SPE Res Eng3 (4): 1193–1201. SPE-15652-PA. https://doi.org/10.2118/15652-PA.
    [Google Scholar]
  42. Taber, J. and Seright, R. S.
    1992. Horizontal Injection and Production Wells for EOR or Waterflooding. Presented at the Permian Basin Oil and Gas Recovery Conference, Midland, Texas, 18–20 March. SPE-23952-MS. https://doi.org/10.2118/23952-MS.
    [Google Scholar]
  43. 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 Eng12 (3): 189–198. SPE-35385-PA. https://doi.org/10.2118/35385-PA.
    [Google Scholar]
  44. Teletzke, G. F., Wattenbarger, R. C., and Wilkinson, J. R.
    2010. Enhanced Oil Recovery Pilot Testing Best Practices. SPE Res Eval & Eng13 (1): 143–154. SPE-118055-PA. https://doi.org/10.2118/118055-PA.
    [Google Scholar]
  45. Thiele, M. R. and Batycky, R. P.
    2006. Using Streamline-Derived Injection Efficiencies for Improved Waterflood Management. SPE Res Eval & Eng9 (2): 187–196. SPE-84080-PA. https://doi.org/10.2118/84080-PA.
    [Google Scholar]
  46. 2016. Evolve: A Linear Workflow for Quantifying Reservoir Uncertainty. Presented at the SPE Annual Technical Conference and Exhibition, Dubai, 26–28 September. SPE-181374-MS. https://doi.org/10.2118/181374-MS.
    [Google Scholar]
  47. van den Hoek, P. J.
    2004. Impact of Induced Fractures on Sweep and Reservoir Management in Pattern Floods. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 26–29 September. SPE-90968-MS. https://doi.org/10.2118/90968-MS.
    [Google Scholar]
  48. van den Hoek, P. J., Al-Masfry, R. A., Zwarts, D. et al.
    2009. Optimizing Recovery for Waterflooding Under Dynamic Induced Fracturing Conditions. SPE Res Eval & Eng12 (5): 671–682. SPE-110379-PA. https://doi.org/10.2118/110379-PA.
    [Google Scholar]
  49. Van Doren, J., Douma, S. G., Wassing, L. B. M. et al.
    2011. Adjoint-Based Optimization of Polymer Flooding. Presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, 19–21 July. SPE-144024-MS. https://doi.org/10.2118/144024-MS.
    [Google Scholar]
  50. Wang, D., Sun, Y., Wang, Y. et al.
    2002. Producing More Than 75% of Daqing Oil Field's Production by IOR, What Experiences Have Been Learnt? Presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition, Melbourne, Australia, 8–10 October. SPE-77871-MS. https://doi.org/10.2118/77871-MS.
    [Google Scholar]
  51. Wang, Y. and Seright, R. S.
    2006. Correlating Gel Rheology With Behavior During Extrusion Through Fractures. Presented at the SPE/DOE Symposium on Improved Recovery, Tulsa, 22–26 April. SPE-99462-MS. https://doi.org/10.2118/99462-MS.
    [Google Scholar]
  52. Wang, Y., Pang, Y., Shao, Z. et al.
    2013. The Polymer Flooding Technique Applied at High Water Cut Stage in Daqing Oilfield. Presented at the North Africa Technical Conference and Exhibition, Cairo, 15–17 April. SPE-164595-MS. https://doi.org/10.2118/164595-MS.
    [Google Scholar]
  53. Zechner, M., Buchgraber, M., Clemens, T. et al.
    2013. Flow of Polyacrylamide Polymers in the Near-Wellbore-Region, Rheological Behavior Within Induced Fractures and Near-Wellbore Area. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 30 September–2 October. SPE-166085-MS. https://doi.org/10.2118/166085-MS.
    [Google Scholar]
  54. Zechner, M., Clemens, T., Suri, A. et al.
    2015. Simulation of Polymer Injection Under Fracturing Conditions—An Injectivity Pilot in the Matzen Field, Austria. SPE Res Eval & Eng18 (2): 236–249. SPE-169043-PA. https://doi.org/10.2118/169043-PA.
    [Google Scholar]
  55. Zhang, J., Delshad, M., Sepehrnoori, K. et al.
    2005. An Efficient Reservoir-Simulation Approach to Design and Optimize Improved Oil-Recovery-Processes With Distributed Computing. Presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Rio de Janeiro, 20–23 June. SPE-94733-MS. https://doi.org/10.2118/94733-MS.
    [Google Scholar]
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