Accounting for Fluid-Property Variations in Temperature-Transient Analysis
- Yilin Mao (Louisiana State University) | Mehdi Zeidouni (Louisiana State University)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- June 2018
- Document Type
- Journal Paper
- 868 - 884
- 2018.Society of Petroleum Engineers
- Reservoir characterization, Fluid property correction, Analytical solution, Temperature transient analysis
- 17 in the last 30 days
- 503 since 2007
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Significant fluid-property variation can be induced with pressure and temperature dynamics in the reservoir associated with oil production. The existing analytical solutions for temperature-transient analysis (TTA) generally assume constant fluid properties, which can be invalid especially for cases of high drawdown and strong temperature signals. In this study, we present a method to account for the fluid-property variations in TTA. The method introduces corrections on fluid-property values as input for analytical solutions, considering the quasilinear behavior of the temporal Joule-Thomson effect on a semilog plot. The corrections are performed on four identified fluid properties in an iterative manner, which can be easily implemented in available temperature-analysis procedures. To validate the developed approach, we model drawdown- and buildup-transient-temperature signals with the fluid-property correction method for nondamaged and damaged reservoirs under different production rates and reservoir-fluid compositions. The analytical modeling results are compared with numerical simulations. In addition, by finding the dominating fluid property, a simplified approach of property correction is presented. Through application to example problems, we show that using the fluid-property correction method presented here can improve the permeability estimations by 60% for the conditions considered in this paper. We present a modified method for damaged reservoirs, which results in an additional 25% improvement on the permeability estimations. With these improvements, the applicability of TTA using analytical solutions can be extended from cases with limited sandface-temperature signals of a few degrees Celsius to stronger signals of 20 to 30°C.
|File Size||1 MB||Number of Pages||17|
Abramowitz, M. and Stegun, I. A. 1964. Handbook of Mathematical Functions, Vol. 55, Courier Corporation.
Al-Hussainy, R., Ramey, H. J. Jr., and Crawford, P. B. 1966. The Flow of Real Gases Through Porous Media. J Pet Technol 18 (5): 624–636. SPE-1243-A-PA. https://doi.org/10.2118/1243-A-PA.
App, J. F. 2010. Nonisothermal and Productivity Behavior of High-Pressure Reservoirs. SPE J. 15 (1): 50–63. SPE-114705-PA. https://doi.org/10.2118/114705-PA.
App, J. F. and Yoshioka, K. 2013. Impact of Reservoir Permeability on Flowing Sandface Temperatures: Dimensionless Analysis. SPE J. 18 (4): 685–694. SPE-146951-PA. https://doi.org/10.2118/146951-PA.
Chevarunotai, N., Hasan, A. R., and Kabir, C. S. 2015. Transient Flowing-Fluid Temperature Modeling in Oil Reservoirs for Flow Associated with Large Drawdowns. Presented at the SPE Annual Technical Conference and Exhibition, Houston, 28–30 September. https://doi.org/10.2118/175008-MS.
Computer Modelling Group (CMG). 2014. GEM: Compositional and Unconventional Oil and Gas Simulator, Version 2014.10. Calgary: CMG.
Computer Modelling Group (CMG). 2015. WINPROP: Phase-Behavior and Fluid-Property Program, Version 2015.10. Calgary: CMG.
Cui, J., Zhu, D., and Jin, M. 2015. Diagnosis of Production Performance After Multistage Fracture Stimulation in Horizontal Wells by Downhole Temperature Measurements. SPE Prod & Oper 31 (4): 280–288. https://doi.org/10.2118/170874-PA.
Denney, D. 2015. Manage Fields With Intelligent Surveillance, Production Optimization, and Collaboration. J Pet Technol 64 (12): 98–100. SPE-1212-0098-JPT. https://doi.org/10.2118/1212-0098-JPT.
Duru, O. O. and Horne, R. N. 2010. Modeling Reservoir Temperature Transients and Reservoir-Parameter Estimation Constrained to the Model. SPE Res Eval & Eng 13 (6): 873–883. SPE-115791-PA. https://doi.org/10.2118/115791-PA.
Dykstra, H. and Parsons, R. L. 1950. The Prediction of Oil Recovery by Waterflood. In Secondary Recovery of Oil in the United States, second edition, 160–174. Washington, DC: American Petroleum Institute.
Glasbergen, G., Gualtieri, D., van Domelen, M. et al. 2009. Real-Time Fluid Distribution Determination in Matrix Treatments Using DTS. SPE Prod & Oper 24 (1): 135–146. SPE-107775-PA. https://doi.org/10.2118/107775-PA.
Mao, Y., Zeidouni, M., and Duncan, I. 2017. Temperature Analysis for Early Detection and Rate Estimation of CO2 Wellbore Leakage. International Journal of Greenhouse Gas Control 67: 20–30. https://doi.org/10.1016/j.ijggc.2017.09.021.
Mao, Y. and Zeidouni, M. 2017a. Analytical Solutions for Temperature-Transient Analysis and Near Wellbore Damaged Zone Characterization. Presented at the SPE Reservoir Characterisation and Simulation Conference, Abu Dhabi, 8–10 May. SPE-185990-MS. https://doi.org/10.2118/185990-MS.
Mao, Y. and Zeidouni, M. 2017b. Near Wellbore Characterization From Temperature Transient Analysis: Accounting for Non-Darcy Flow Effect. Presented at the SPE Symposium: Production Enhancement and Cost Optimisation, Kuala Lumpur, Malaysia, 7–8 November. SPE-189234-MS. https://doi.org/10.2118/189234-MS.
Mao, Y. and Zeidouni, M. 2017c. Temperature Transient Analysis for Characterization of Multilayer Reservoirs with Crossflow. Presented at the SPE Western Regional Meeting, Bakersfield, California, 23–27 April. SPE-185654-MS. https://doi.org/10.2118/185654-MS.
Mao, Y., Zeidouni, M., and Askari, R. 2016. Effect of Leakage Pathway Flow Properties on Thermal Signal Associated with the Leakage from CO2 Storage Zone. Greenh. Gas Sci. Technol. 7 (3): 512–529. https://doi.org/10.1002/ghg.1658.
Maxwell, S. C., Rutledge, J., Jones, R. et al. 2010. Petroleum Reservoir Characterization Using Downhole Microseismic Monitoring. Geophysics 75 (5): A129–A137. https://doi.org/10.1190/1.3477966.
Muradov, K. and Davies, D. 2012. Temperature Transient Analysis in Horizontal Wells: Application Workflow, Problems and Advantages. J. Pet. Sci. Eng. 92–93 (August): 11–23. https://doi.org/10.1016/j.petrol.2012.06.012.
Onur, M. and Çinar, M. 2016. Temperature Transient Analysis of Slightly Compressible, Single-Phase Reservoirs. Presented at SPE Europec featured at 78th EAGE Conference and Exhibition, Vienna, Austria, 30 May–2 June. SPE-180074-MS. https://doi.org/10.2118/180074-MS.
Onur, M., Palabiyik, Y., Tureyen, O. I. et al. 2016. Transient Temperature Behavior and Analysis of Single-Phase Liquid-Water Geothermal Reservoirs During Drawdown and Buildup Tests: Part II. Interpretation and Analysis Methodology with Applications. J. Pet. Sci. Eng. 146 (October): 657–669. https://doi.org/10.1016/j.petrol.2016.08.002.
Palabiyik, Y., Onur, M., Tureyen, O. I. et al. 2016. Transient Temperature Behavior and Analysis of Single-Phase Liquid-Water Geothermal Reservoirs During Drawdown and Buildup Tests: Part I. Theory, New Analytical and Approximate Solutions. J. Pet. Sci. Eng. 146 (October): 637–656. https://doi.org/10.1016/j.petrol.2016.08.003.
Ramazanov, A., Valiullin, R. A., Shako, V. et al. 2010. Thermal Modeling for Characterization of Near Wellbore Zone and Zonal Allocation. Presented at the SPE Russian Oil and Gas Conference and Exhibition, Moscow, 26–28 October. SPE-136256-MS. https://doi.org/10.2118/136256-MS.
Ribeiro, P. M. and Horne, R. N. 2016. Detecting Fracture Growth Out of Zone by Use of Temperature Analysis. SPE J. 21 (4): 1263–1278. https://doi.org/10.2118/170746-PA.
Sui, W., Ehlig-Economides, C., Zhu, D. et al. 2012. Determining Multilayer Formation Properties From Transient Temperature and Pressure Measurements. Petrol. Sci. Technol. 30 (7): 672–684. https://doi.org/10.1080/10916466.2010.514581.
Sui, W. B. and Zhu, D. 2012. Determining Multilayer Formation Properties from Transient Temperature and Pressure Measurements in Gas Wells with Commingled Zones. J. Nat. Gas Sci. Eng. 9 (November): 60–72. https://doi.org/10.1016/j.jngse.2012.05.010.
Tabatabaei, M. and Zhu, D. 2012. Fracture-Stimulation Diagnostics in Horizontal Wells Through Use of Distributed-Temperature-Sensing Technology. SPE Prod & Oper 27 (4): 356–362. SPE-148835-PA. https://doi.org/10.2118/148835-PA.
Theis, C. V. 1935. The Relation Between the Lowering of the Piezometric Surface and the Rate and Duration of Discharge of a Well Using Ground Water Storage. Trans Am. Geophys. Union 16 (2): 519–524. https://doi.org/10.1029/TR016i002p00519.
Tiab, D. and Donaldson, E. C. 2015. Petrophysics: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties. Houston: Gulf Professional Publishing.
Vilarrasa, V., Bolster, D., Dentz, M. et al. 2010. Effects of CO2 Compressibility on CO2 Storage in Deep Saline Aquifers. Transport Porous Med. 85 (2): 619–639. https://doi.org/10.1007/s11242-010-9582-z.
Yoshida, N., Zhu, D., and Hill, A. D. 2014. Temperature-Prediction Model for a Horizontal Well With Multiple Fractures in a Shale Reservoir. SPE Prod & Oper 29 (4): 261–273. SPE-166241-PA. https://doi.org/10.2118/166241-PA.
Yoshioka, K., Zhu, D., Hill, A. D. et al. 2007. Prediction of Temperature Changes Caused by Water or Gas Entry into a Horizontal Well. SPE Prod & Oper 22 (4): 425–433. SPE-100209-PA. https://doi.org/10.2118/100209-PA.
Yoshioka, K., Zhu, D., Hill, A. D. et al. 2009. A New Inversion Method To Interpret Flow Profiles From Distributed Temperature and Pressure Measurements in Horizontal Wells. SPE Prod & Oper 24 (4): 510–521. SPE-109749-PA. https://doi.org/10.2118/109749-PA.
Zeidouni, M., Nicot, J.-P., and Hovorka, S. D. 2014. Monitoring Above-Zone Temperature Variations Associated with CO2 and Brine Leakage from a Storage Aquifer. Environ. Earth Sci. 72 (5): 1733–1747. https://doi.org/10.1007/s12665-014-3077-0.