Simplified Forecasting of Tight/Shale-Gas Production in Linear Flow

Society of Petroleum Engineers (SPE) - Tập 51 Số 06 - Trang 476-486 - 2012
Morteza Nobakht1, Louis Mattar2, Samane Moghadam2, David M. Anderson2
1EnCana Corporation
2Fekete Associates Incorporated

Tóm tắt

Summary This paper presents a simplified method of production forecasting for tight/shale-gas reservoirs exhibiting extended periods of linear flow, without the use of complex tools (e.g., analytical models or numerical models). The method, which is applicable to hydraulically fractured vertical wells and multifractured horizontal wells, is simple because it relies principally on a plot of inverse rate vs. square root of time, and it is rigorous in that it is based on the theory of linear flow and combines the transient linear-flow period with hyperbolic decline during boundary-dominated flow. The dominant flow regime observed in most tight/shale-gas wells is linear flow, which may continue for several years. This linear flow will be followed by boundary-dominated flow at later times. Therefore, the method proposed in this study is applicable for forecasting production data for these wells because it considers these two important flow regimes. The derivation is presented for a hydraulically fractured well, and this simplified method can be applied both to hydraulically fractured vertical wells and to horizontal wells with multiple fractures. The application of this method to multifractured horizontal wells in the Marcellus and Barnett shale gas is also presented. The method is validated by comparing its results with test cases, which are built using numerical simulation for hydraulically fractured vertical wells. For each case, only the first year of the synthetic production data is then used for the analysis. It is found that there is reasonable agreement between the forecast rates obtained using this method and the numerically simulated rates. Currently, analysis techniques using material-balance time are being used in industry to analyze tight/shale-gas reservoirs. Because material-balance time is actually boundary-dominated flow superposition time, these analyses may show symptoms of boundary-dominated flow even though the reservoir is still in transient flow. The advantages of the forecasting method proposed in this study are that: (1) it is not biased toward any flow regimes because no superposition time functions are used; (2) reliable forecasts can be obtained without using pseudotime--this is an advantage because using pseudotime introduces complexities and an iterative procedure; and (3) the only major unknown is the drainage area.

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<p><mixed-citation publication-type="journal"><h3>References</h3><p>Agarwal, R.G., Gardner, D.C., Kleinsteiber, S.W. et al. 1999. Analyzing WellProduction Data Using Combined-Type-Curve and Decline-Curve Analysis Concepts.<i>SPE Res Eval & Eng</i>  <b>2</b> (5): 478-486. SPE-57916-PA. <a href="http://dx.doi.org/10.2118/57916-PA">http://dx.doi.org/10.2118/57916-PA</a>.</p><p>Ambrose, R.J., Clarkson, C.R., Youngblood, J.E. et al. 2011. Life-CycleDecline Curve Estimation for Tight/Shale Reservoirs. SPE Hydraulic FracturingTechnology Conference, The Woodlands, Texas, USA, 24-26 January. SPE-140519-MS.http://dx.doi.org/10.2118/140519-MS.</p><p>Anderson, D.M. and Mattar, L. 2005. An Improved Pseudo-Time for GasReservoirs with Significant Transient Flow. Canadian International PetroleumConference, Calgary, 7-9 June. CIPC 2005-114. <a href="http://dx.doi.org/10.2118/2005-114">http://dx.doi.org/10.2118/2005-114</a>.</p><p>Arps, J.J. 1945. Analysis of Decline Curves. In <i>Transactions of theAmerican Institute of Mining and Metallurgical Engineers: Petroleum Developmentand Technology 1945</i>, Vol. 160, SPE-945228-G, 228-247. New York: AIME.</p><p>Bello, R.O. and Wattenbarger, R.A. 2008. Rate Transient Analysis inNaturally Fractured Shale Gas Reservoirs. CIPC/SPE Gas Technology Symposium,Calgary, 16-19 June. SPE-114591-MS. <a href="http://dx.doi.org/10.2118/114591-MS">http://dx.doi.org/10.2118/114591-MS</a>.</p><p>Carlson, E.S. and Mercer, J.C. 1989. Devonian Shale Gas Production:Mechanisms and Simple Models. <i>J Pet Technol</i>  <b>43</b> (4):476-482. SPE-19311-PA. <a href="http://dx.doi.org/10.2118/19311-PA">http://dx.doi.org/10.2118/19311-PA</a>.</p><p>Doublet, L.E., Pande, P.K., McCollum, T.J. et al. 1994. Decline CurveAnalysis Using Type Curves--Analysis of Oil Well Production Data Using MaterialBalance Time: Application to Field Cases. International Petroleum Conferenceand Exhibition of Mexico, Veracruz, Mexico, 10-13 October. SPE-28688-MS. <a href="http://dx.doi.org/10.2118/28688-MS">http://dx.doi.org/10.2118/28688-MS</a>.</p><p> El-Banbi, A.H. and Wattenbarger, R.A. 1998. Analysis of Linear Flow inGas Flow Production. SPE Gas Technology Symposium, Calgary, 15-18 March.SPE-39972-MS. <a href="http://dx.doi.org/10.2118/39972-MS">http://dx.doi.org/10.2118/39972-MS</a>.</p><p>Fisher, M.K., Heinze, J.R., Harris, C.D. et al. 2004. Optimizing HorizontalCompletion Techniques in the Barnett Shale Using Microseismic Fracture Mapping.SPE Annual Technical Conference and Exhibition, Houston, 26-29 September.SPE-90051-MS. <a href="http://dx.doi.org/10.2118/90051-MS">http://dx.doi.org/10.2118/90051-MS</a>.</p><p>Fraim, M.L. and Wattenbarger, R.A. 1987. Gas Reservoir Decline CurveAnalysis Using Type Curves with Real Gas Pseudopressure and Normalized Time.<i>SPE Form Eval</i> <b>2</b> (4): 671-682. SPE-14238-PA. <a href="http://dx.doi.org/10.2118/14238-PA">http://dx.doi.org/10.2118/14238-PA</a>.</p><p>Ilk, D., Rushing, J.A., Perego, A.D. et al. 2008. Exponential vs. HyperbolicDecline in Tight Gas Sands--Understanding the Origin and Implications forReserve Estimates Using Arps&#39; Decline Curves. SPE Annual Technical Conferenceand Exhibition, Denver, SPE 116731. <a href="http://dx.doi.org/10.2118/116731-MS">http://dx.doi.org/10.2118/116731-MS</a>.</p><p>Kupchenko, C.L., Gault, B.W., and  Mattar, L. 2008. Tight GasProduction Performance Using Decline Curves. CIPC/SPE Gas Technology Symposium2008 Joint Conference, Calgary, 16-19 June. SPE-114991-MS. <a href="http://dx.doi.org/10.2118/114991-MS">http://dx.doi.org/10.2118/114991-MS</a>.</p><p>Mattar, L. and Anderson, D. 2005. Dynamic Material Balance(Oil orGas-In-Place Without Shut-Ins). Canadian International Petroleum Conference,Calgary, 7-9 June. PETSOC-2005-113. <a href="http://dx.doi.org/10.2118/2005-113">http://dx.doi.org/10.2118/2005-113</a>.</p><p>Maxwell, S.C., Waltman, C.K., Warpinski, N.R. et al. 2009. Imaging SeismicDeformation Induced by Hydraulic Fracture Complexity. <i>SPE Res Eval &Eng</i> <b>12</b> (1): 48-52. SPE-102801-PA. <a href="http://dx.doi.org/10.2118/102801-PA">http://dx.doi.org/10.2118/102801-PA</a>.</p><p> Mayerhofer, M.J., Bolander, J.L., Williams, L.I. et al. 2005.Integration of Microseismic-Fracture-Mapping Fracture and Production AnalysisWith Well Interference Data to Optimize Fracture Treatments in the OvertonField, East Texas. SPE Annual Technical Conference and Exhibition, Dallas, 9-12October. SPE-95508-MS. <a href="http://dx.doi.org/10.2118/95508-MS">http://dx.doi.org/10.2118/95508-MS</a>.</p><p>Mayerhofer, M.J., Lolon, E.P., Youngblood, J.E. et al. 2006. Integration ofMicroseismic Fracture Mapping Results with Numerical Fracture NetworkProduction Modeling in the Barnett Shale. SPE Annual Technical Conference andExhibition, San Antonio, Texas, USA, 24-27 September. SPE-102103-MS. <a href="http://dx.doi.org/10.2118/102103-MS">http://dx.doi.org/10.2118/102103-MS</a>.</p><p>Medeiros, F., Ozkan, E., and  Kazemi, H. 2008. Productivity andDrainage Area of Fracture Horizontal Wells in Tight Gas Reservoirs. <i>SPE ResEval & Eng</i>  <b>11</b> (5): 902-911. SPE-108110-PA. <a href="http://dx.doi.org/10.2118/108110-PA">http://dx.doi.org/10.2118/108110-PA</a>.</p><p>Okuszko, K.E., Gault, B.W., and  Mattar, L. 2007. Production DeclinePerformance of CBM Wells. Canadian International Petroleum Conference, Calgary,12-14 June. PETSOC-2007-078. <a href="http://dx.doi.org/10.2118/2007-078">http://dx.doi.org/10.2118/2007-078</a>.</p><p>Ozkan, E., Brown, M.L., Raghavan, R. et al. 2011. Comparison ofFractured-Horizontal-Well Performance in Tight Sand and Shale Reservoirs.<i>SPE Res Eval & Eng</i>  <b>14</b> (2): 248-259. SPE-121290-PA. <a href="http://dx.doi.org/10.2118/121290-PA">http://dx.doi.org/10.2118/121290-PA</a>.</p><p>Palacio, J.C. and Blasingame, T.A. 1993. Decline-Curve Analysis Using TypeCurves—Analysis of Gas Well Production Data. Oral presentation, Rocky MountainRegional/Low Permeability Reservoirs Symposium and Exhibition, Denver, 26-28April. SPE-25909-MS. <a href="http://dx.doi.org/10.2118/25909-MS">http://dx.doi.org/10.2118/25909-MS</a>.</p><p>Valkó, P.P. 2009. Assigning Value to Stimulation in the Barnett Shale: ASimultaneous Analysis of 7000 Plus Production Histories and Well CompletionRecords. SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas,USA, 19-21 January. SPE-119369-MS. <a href="http://dx.doi.org/10.2118/119369-MS">http://dx.doi.org/10.2118/119369-MS</a>.</p><p>Wattenbarger, R.A., El-Banbi, A.H., Villegas, M.E. et al. 1998. ProductionAnalysis of Linear Flow Into Fractured Tight Gas Wells. SPE Rocky MountainRegional/Low-Permeability Reservoirs Symposium, Denver, 5-8 April.SPE-39931-MS. <a href="http://dx.doi.org/10.2118/39931-MS">http://dx.doi.org/10.2118/39931-MS</a>.</p></mixed-citation>