The use of combined static- and dynamic-material-balance methods with real-time surveillance data in volumetric gas reservoirs

SPE Reservoir Evaluation and Engineering

Volumn 15, Issue 3, 2012, Pages 351-360

  Ismadi, D ^a   Kabir, C S ^a   Hasan, A R ^b  

^a HESS CORPORATION   (United States)

^b UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

VOLUMETRIC ANALYSIS; WELLHEADS;

AVERAGE-RESERVOIR PRESSURES; CONVENTIONAL METHODS; DYNAMIC MATERIALS; GAS INITIALLY IN PLACES; PRODUCTIVITY INDEX; REAL-TIME SURVEILLANCE; RESERVOIR ENGINEERING; THERMODYNAMIC BEHAVIORS;

RESERVOIR MANAGEMENT;

MANAGEMENT PRACTICE; REAL TIME; RESERVOIR CHARACTERIZATION; THERMODYNAMICS; VOLUME;

EID: 84862643378     PISSN: 10946470     EISSN: None     Source Type: Journal    
DOI: 10.2118/145798-PA     Document Type: Conference Paper

References (15)

1. Agarwal, R.G., Gardner, D.C., Kleinsteiber, S.W., and Fussell, D.D. 1999. Analyzing Well Production Data Using Combined-Type-Curve and Decline-Curve Analysis Concepts. SPE Res Eval & Eng 2 (5): 478-486. SPE-57916-PA. http://dx.doi.org/10.2118/57916-PA. (Pubitemid 30015189)
2. Baker, R. 2005. The Importance of Comprehensive Gas Field Surveillance. J Can Pet Technol 44 (10): 7-11. PETSOC-05-10-DAS. http://dx.doi.org/10.2118/05- 10-DAS. (Pubitemid 41687071)
3. Gilbert, R.B., Lake, L.W., Jablonowski, C.J., Jennings, J.W., and Nunez, E. 2009. A Procedure for Assessing the Value of Oilfield Sensors. SPE Res Eval & Eng 12 (4): 618-629. SPE-109628-PA. http://dx.doi.org/10.2118/109628-PA.
4. Hasan, A.R., Kabir, C.S., and Wang, X. 2009. A Robust Steady-State Model for Flowing-Fluid Temperature in Complex Wells. SPE Prod & Oper 24 (2): 269-276. SPE-109765-PA. http://dx.doi.org/10.2118/109765-PA.
5. Horne, R.N. 2007. Listening to the Reservoir-Interpreting Data From Permanent Downhole Gauges. J Pet Technol 59 (12): 78-86. SPE- 103513-MS.
6. Ismadi, D., Suthichoti, P., and Kabir, C.S. 2010. Understanding well performance with surveillance data. J. Pet. Sci. Eng. 74 (1-2): 99-106. http://dx.doi.org/10.1016/j.petrol.2010.08.015.
7. Izgec, B., Hasan, A.R., Lin, D., and Kabir, C.S. 2010. Flow-Rate Estimation From Wellhead-Pressure and -Temperature Data. SPE Prod & Oper 25 (1): 31-39. SPE-115790-PA. http://dx.doi.org/10.2118/115790-PA.
8. Jemmott, S.T. 2005. Reservoir Surveillance in Gas Reservoirs, Offshore Trinidad. Paper SPE 94820 presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, Rio de Janeiro, 20-23 June. http://dx.doi.org/10.2118/94820-MS.
9. Kabir, C.S., Ismadi, D., and Fountain, S. 2011. Estimating in-place volume and reservoir connectivity with real-time and periodic surveillance data. J. Pet. Sci. Eng. 78 (2): 258-266. http://dx.doi.org/10.1016/j.petrol.2011.05. 017.
10. Maskari, M., Marketz, F., Al-Sinani, I.S., et al. 2008. Improved Management of a Fractured Carbonate Reservoir using a Smart Fields Approach. Paper IPTC 12712 presented at the International Petroleum Technology Conference, Kuala Lumpur, 3-5 December. http://dx.doi.org/10.2523/12712-MS.
11. Mattar, L., Anderson, D., and Stotts, G.G. 2006. Dynamic Material Balance- Oil-or Gas-in-Place Without Shut-Ins. J Can Pet Technol 45 (11): 7-10. PETSOC-06-11-TN. http://dx.doi.org/10.2118/06-11-TN. (Pubitemid 46065008)
12. Mattar, L. and McNeil, R. 1998. The 'Flowing' Gas Material Balance. J Can Pet Technol 37 (2): 52-55. JCPT Paper No. 98-02-06. http://dx.doi.org/10.2118/ 98-02-06.
13. Medeiros, F., Kurtoglu, B., Ozkan, E., and Kazemi, H. 2010. Analysis of Production Data From Hydraulically Fractured Horizontal Wells in Shale Reservoirs. SPE Res Eval & Eng 13 (3): 559-568. SPE-110848- PA. http://dx.doi.org/10.2118/110848-PA.
14. Palacio, J.C. and Blasingame, T.A. 1993. Decline-Curve Analysis Using Type Curves - Analysis of Gas Well Production Data. Oral presentation given at the Rocky Mountain Regional/Low Permeability Reservoirs Symposium and Exhibition, Denver, 26-28 April. http://dx.doi.org/10.2118/25909-MS.
15. Shyeh, J.J., Hehmeyer, O.J., Gibbeson, J., Mullins, J.J., and Trujillo, D. 2008. Examples of Right-Time Decisions from High Frequency Data. Paper SPE 112150 presented at the Intelligent Energy Conference and Exhibition, Amsterdam, 25-27 February. http://dx.doi.org/10.2118/112150-MS.