An Integrated Model for History Matching and Predicting Reservoir Performance of Gas/Condensate Wells
- Ahmed M. Farid (Cairo University) | Ahmed El-Banbi (Cairo University) | A A Abdelwaly (Cairo University)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- September 2013
- Document Type
- Journal Paper
- 412 - 422
- 2013. Society of Petroleum Engineers
- 4.6 Natural Gas, 3.3.6 Integrated Modeling, 5.2.2 Fluid Modeling, Equations of State, 5.5 Reservoir Simulation, 5.2.1 Phase Behavior and PVT Measurements, 5.8.8 Gas-condensate reservoirs, 5.5.8 History Matching
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The depletion performance of gas/condensate reservoirs is highly influencedby changes in fluid composition below the dewpoint. The long-term prediction ofcondensate/gas reservoir behavior is therefore difficult because of thecomplexity of both composition variation and two-phase-flow effects. In thispaper, an integrated model was developed to simulate gas-condensatereservoir/well behavior. The model couples the compositional material balanceor the generalized material-balance equations for reservoir behavior, thetwo-phase pseudo integral pressure for near-wellbore behavior, and outflowcorrelations for wellbore behavior. An optimization algorithm was also usedwith the integrated model so it can be used in history-matching mode toestimate original gas in place (OGIP), original oil in place (OOIP), andproductivity-index (PI) parameters for gas/condensate wells. The model also canbe used to predict the production performance for variable tubing head pressure(THP) and variable production rate. The model runs fast and requires minimalinput. The developed model was validated by use of different simulation casesgenerated with a commercial compositional reservoir simulator for a variety ofreservoir and well conditions. The results show a good agreement between thesimulation cases and the integrated model. After validating the integratedmodel against the simulated cases, the model was used to analyze productiondata for a rich-gas/condensate field (initial condensate/gas ratio of 180 bbl/MMscf). THP data for four wells were used along with basic reservoir andproduction data to obtain original fluids in place and PIs of the wells. Theestimated parameters were then used to forecast the gas and condensateproduction above and below the dewpoint. The model is also capable ofpredicting reservoir pressure, bottomhole flowing pressure, and THP and canaccount for completion changes when they occur.
|File Size||1 MB||Number of Pages||11|
Beggs, H.D. and Brill, J.P. 1973. A Study of Two-Phase Flow in InclinedPipes. J. Pet Tech 25 (5): 607-617. http://dx.doi.org/10.2118/4007-PA.
Dranchuk, P.M. and Abou-Kasem, J.H. 1975. Calculation of Z-Factorsfor Natural Gases Using Equations of State. J. Pet Tech 14(3). http://dx.doi.org/10.2118/75-03-03.
El-Banbi, Ahmed H., and Wattenbarger, Robert A. 1996. Analysis of CommingledTight-Gas Reservoirs. Paper SPE 36736 presented at the 1996 SPE AnnualTechnical Conference and Exhibition, Denver, Colorado, 6-9 October. http://dx.doi.org/10.2118/36736-MS.
El-Banbi, A.H. 2010.Optimizing Simulation Studies for Gas Condensate FieldDevelopment and Management. Paper SPE 128448 presented at the North AfricaTechnical Conference and Exhibition, Cairo, Egypt, 14-17 February. http://dx.doi.org/10.2118/128448-MS.
Exxon. 1974. Reservoir Engineering Manual. Chapter 3. Houston, Texas:Production Research Company.
Fevang, Ø. and Whitson, C.H. 1996. Modeling Gas-Condensate WellDeliverability. SPE Res Eng 11 (4): 221-230. http://dx.doi.org/10.2118/30714-PA.
Hagedorn, A.R. and Brown, K.E. 1965. Experimental Study of PressureGradients Occurring During Continuous Two-Phase Flow in Small Diameter VerticalConduits. J. Pet Tech 17 (4): 475-484. http://dx.doi.org/10.2118/940-PA.
Rayes, D.G., McCain, W.D. Jr., and Poston, S.W. 1992. Two-PhaseCompressibility Factors for Retrograde Gases. SPE Form Eval 7(1): 87-92. http://dx.doi.org/10.2118/20055-PA.
Sills, S.R. 1996. Improved Material-Balance Regression Analysis forWaterdrive Oil and Gas Reservoirs. SPE Res Eng 11 (2):127-134. http://dx.doi.org/10.2118/28630-PA.
Tarek, Ahmed. 2007. Equations of State and PVT Analysis. Chapter 2.Houston, Texas: Gulf Publishing Company.
Tarner, J. 1944. How Different Size Gas Caps and Pressure MaintenancePrograms Affect Amount of Recoverable Oil. Oil Weekly 144:32-34.
Walsh, M.P. 1994. The New, Generalized Material Balance as an Equation of aStraight Line: Part 1--Applications to Undersaturated, Volumetric Reservoirs.Paper SPE 27684 presented at the SPE Permian Basin Oil and Gas RecoveryConference, Midland, Texas, 16-18 March. http://dx.doi.org/10.2118/27684-MS.
Walsh, M.P. 1995a. A Generalized Approach to Reservoir Material BalanceCalculations. J. Cdn. Pet. Tech. 34 (1). http://dx.doi.org/10.2118/95-01-07-PA.
Walsh, M.P. 1995b. Method Computes PVT Properties for Gas Condensate. Oiland Gas J.
Whitson, C.H. and Torp, S.B. 1983. Evaluating Constant-Volume DepletionData. J. Pet Tech 35 (3): 610-620. http://dx.doi.org/10.2118/10067-PA.
Wilson, G. 1968. A Modified Redlich-Kwong EOS, Application Physical DataCalculation. Paper 15C presented at the annual AICHE National Meeting,Cleveland, Ohio, 4-7 May.