Semiquantitative Applications of Downhole-Temperature Data in Subsurface Surveillance
- Xingru Wu (University of Oklahoma) | Weibo Sui (China University of Petroleum) | Yuanlin Jiang (Quantum Reservoir Impact)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- November 2014
- Document Type
- Journal Paper
- 323 - 328
- 2014.Society of Petroleum Engineers
- Skin monitoring, Permanent downhole gauges, Temperature, Joule-Thomson Effect
- 1 in the last 30 days
- 334 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 10.00|
|SPE Non-Member Price:||USD 30.00|
Permanent downhole-pressure and -temperature gauges have been installed in many intelligent wells worldwide, providing high-resolution and precision surveillance data about the performance of wells and reservoirs. Compared with the pressure data, the temperature data have been underused in the petroleum industry. In this paper, we first examine the measured downhole-temperature variation caused by the Joule-Thomson effect and infer the true reservoir temperature and the skin history from the temperature data. An analytical relationship between the temperature data and the skin is presented. Through the use of this relationship, many purposeful surveillance studies, such as monitoring the skin change of the well, can be conducted. Examples of such studies will be provided and discussed using some deepwater-field data. Furthermore, the downhole temperature can be used to detect whether water breakthrough occurs by means of matrix or fracture through use of the thermal retardation factor. When coupled with the production data and pressure-falloff (PFO) tests, the downhole-temperature data can be used to estimate the water-breakthrough time. The application of this analysis is of practical interest for subsea-well development because of the prohibitive costs and high risks of production logging.
|File Size||992 KB||Number of Pages||6|
Abdel Rasoul, R.R., Salah, A., and Daoud, A. 2011. Production Allocation in Multi-Layers Gas Producing Wells Using Temperature Measurements (By Genetic Algorithm). Presented at the SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain, 25-28 September. SPE-139260-MS. http://dx.doi.org/10.2118/139260-MS.
App, J.F. 2010. Nonisothermal and Productivity Behavior of High-Pressure Reservoirs. SPE J. 15 (1): 50-63. SPE-114705-PA. http://dx.doi.org/10.2118/114705-PA.
App, J.F. 2009. Field Cases: Nonisothermal Behavior Due to Joule-Thomson and Transient Fluid Expansion/Compression Effects. Presented at the SPE Annual Technical Conference and Exhibition, New Orleans, 4-7 October. SPE-124338-MS. http://dx.doi.org/10.2118/124338-MS.
Deucher, R.H., Gomes, R., de Souza, C.N. et al. 2011. The Use of Downhole Temperature Data in Gas-Oil Ratio Estimation and Reservoir Management. Presented at the SPE EUROPEC/EAGE Annual Conference and Exhibition, Vienna, Austria 23-26 May. SPE-143574-MS. http://dx.doi.org/10.2118/143574-MS.
Dietz, D.N. 1965. Determination of Average Reservoir Pressure From Build-Up Surveys. J Pet Technol 17 (8): 955–959. SPE-1156-PA. http://dx.doi.org/10.2118/1156-PA.
Hermanrud, C., Lerche, I., and Meisingset, K. 1991. Determination of Virgin Rock Temperature From Drillstem Tests. J Pet Technol 43 (9): 1126–1131. SPE-19464-PA. http://dx.doi.org/10.2118/19464-PA.
Hoang, H.N., Mahadevan, J., and Lopez, H. 2012. Injection Profiling During Limited-Entry Fracturing Using Distributed-Temperature-Sensor Data. SPE J. 17 (3): 752 - 767. SPE-140442-PA. http://dx.doi.org/10.2118/140442-PA.
Horne, R.N. 1995. Modern Well Test Analysis: A Computer Aided Approach, second edition. Palo Alto, California: Petroway, Inc.
Hutchinson, D.A., Kuramshina, N., Sheydayev, A.C.O. et al. 2007. The New Interference Test: Reservoir Connectivity Information from Downhole Temperature Data. Presented at the International Petroleum Technology Conference, Dubai, UAE, 4-6 December. IPTC-11672-MS. http://dx.doi.org/10.2523/11672-MS.
Lake, L.W. 1989. Enhanced Oil Recovery. Englewood Cliffs, New Jersey: Prentice Hall.
Li, Z. and Zhu, D. 2010. Predicting Flow Profile of Horizontal Well by Downhole Pressure and Distributed-Temperature Data for Waterdrive Reservoir. SPE Prod & Oper 25 (3): 296 - 304. SPE-124873-PA. http://dx.doi.org/10.2118/124873-PA.
Shook, G.M. 2001. Predicting thermal breakthrough in heterogeneous media from tracer tests. Geothermics 30 (6): 573-589. http://dx.doi.org/10.1016/S0375-6505(01)00015-3.
Steffensen, R.J. and Smith, R.C. 1973. The Importance of Joule-Thomson Heating (or Cooling) in Temperature Log Interpretation. Presented at the Fall Meeting of the Society of Petroleum Engineers of AIME, Las Vegas, Nevada, USA, 30 September–3 October. SPE-4636-MS. http://dx.doi.org/10.2118/4636-MS.
Sui, W., Zhu, D., Hill, A.D. et al. 2008. Determining Multilayer Formation Properties From Transient Temperature and Pressure Measurements. Presented at the SPE Annual Technical Conference and Exhibition, Denver, 21–24 September. SPE-116270-MS. http://dx.doi.org/10.2118/116270-MS.
Wang, X., Lee, J., and Vachon, G. 2008. Distributed Temperature Sensor (DTS) System Modeling and Application. Presented at the SPE Saudia Arabia Section Technical Symposium, Al-Khobar, Saudi Arabia 10-12 May. SPE-120805-MS. http://dx.doi.org/10.2118/120805-MS.
Witterholt, E.J. and Tixier, M.P. 1972. Temperature Logging in Injection Wells. Presented at the Fall Meeting of the Society of Petroleum Engineers of AIME, San Antonio, Texas, USA, 8–11 October. SPE-4022-MS. http://dx.doi.org/10.2118/4022-MS.
Wu, X., Humphrey, K., and Liao, T.T. 2012. Enhancing Production Allocation in Intelligent Wells via Application of Models and Real-Time Surveillance Data. Presented at the SPE International Production and Operations Conference & Exhibition, Doha, Qatar, 14-16 May. SPE-155031-MS. http://dx.doi.org/10.2118/155031-MS.
Wu, X., Ling, K., and Liu, D. 2013. Deepwater-Reservoir Characterization by Use of Tidal Signal Extracted From Permanent Downhole Pressure Gauge. SPE Res Eval & Eng 16 (4): 390 - 400. SPE-167656-PA. http://dx.doi.org/10.2118/167656-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. http://dx.doi.org/10.2118/100209-PA.