Decline curve analysis for multiple-fractured horizontal wells in tight oil reservoirs
Abstract view|846|times PDF download|341|times
Abstract
The production of multiple-fractured horizontal wells (MFHW) in tight oil reservoirs decreases rapidly in the initial period. It then enters a stable state of the low production with a slow loss-ratio. Because of its complicated production dynamic characteristics, the conventional rate-decline analysis method is no longer applicable. We adopt the semi- analytical solution of the MFHW five-region linear flow model to get the multiple-fractured dimensionless rate-decline analysis curves and continuously calculate the loss-ratio of the decline curves. Based on the characteristics of the loss-ratio in the log-log plot, the decline curve analysis (DCA) model for tight oil MFHW is established. According to the DCA model, dimensionless production decline curves are obtained, and the sensitivity of the parameters in the model is analyzed. Finally, the DCA model is used to analyze the production rate decline of tight oil MFHW, and good matching results and production forecasts are achieved. This method provides a scientific basis for the rate-decline analysis of tight oil MFHW.
Cited as: Xu, G., Yin., H., Yuan, H., Xing, C. Decline curve analysis for multiple-fractured horizontal wells in tight oil reservoirs. Advances in Geo-Energy Research, 2020, 4(3): 296-304, doi: 10.46690/ager.2020.03.07
Keywords
Full Text:
PDFReferences
Arnold, R. Two decades of petroleum geology, 1903-22. AAPG Bull. 1923, 7(6): 603-624.
Arps, J.J. Analysis of decline curve. Trans. AIME 1945, 160(1): 228-247.
Barzegar Alamdari, B., Kiani, M., Kazemi, H. Experimental and numerical simulation of surfactant-assisted oil recovery in tight fractured carbonate reservoir cores. Paper SPE 153902 Presented at SPE Improved Oil Recovery Symposium, Tulsa, Oklahoma, USA, 14-18 April, 2012.
Duong, A.N. Rate-decline analysis for fracture-dominated shale reservoirs. SPE Reserv. Eval. Eng. 2011, 14(3): 377-387.
Han, D., Kwon, S. Selection of decline curve analysis method using the cumulative production incline rate for transient production data obtained from a multi-stage hydraulic fractured horizontal well in unconventional gas fields. Int. J. Oil Gas Coal Technol. 2018, 18(3-4): 384-401.
Henrik, W., Linnea, L., Kjell, A., et al. Production decline curves of tight oil wells in eagle ford shale. Nat. Resour. Res. 2017, 26(3): 365-377.
Hu, J., Zhang, C., Rui, Z., et al. Fractured horizontal well productivity prediction in tight oil reservoirs. J. Pet. Sci. Eng. 2017, 151: 159-168.
Hu, Y., Weijermar, R., Zuo, L., et al. Benchmarking EUR estimates for hydraulically fractured wells with and without fracture hits using various DCA methods. J. Pet. Sci. Eng. 2017, 162: 617-632.
Idorenyin, E.H., Shirif, E. Semi-analytical solution for modeling the performance of complex multifractured horizontal wells in unconventional reservoirs. SPE Reserv. Eval. Eng. 2018, 21(4): 961-980.
Ilk, D., Currie, S., Symmons, D., et al. Hybrid rate-decline models for the analysis of production performance in unconventional reservoirs. Paper SPE 135616 Presented at SPE Annual Technical Conference and Exhibition, Florence, Italy, 19-22 September, 2010.
Ilk, D., Rushing, J.A., Perego, A.D., et al. Exponential vs. hyperbolic decline in tight gas sands: Understanding the origin and implications for reserve estimates using Arps decline curves. Paper SPE 116731 Presented at SPE Annual Technical Conference and Exhibition, Denver, CO, USA, 21-24 September, 2008.
Ji, J., Yao, Y., Huang, S., et al. Analytical model for production performance analysis of multi-fractured horizontal well in tight oil reservoirs. J. Pet. Sci. Eng. 2017, 158: 380-397.
Jiang, R., Xu, J., Sun, Z., et al. Rate transient analysis for multistage fractured horizontal well in tight oil reservoirs considering stimulated reservoir. Math. Probl. Eng. 2014, 2014: 489015.
Johnson, R.H., Bollens, A.L. The loss ratio method of extrapolating oil well decline curves. Trans. AIME 1927, 77(1): 771-778.
Jongkittinarukorn, K., Last, N., Escobar, F.H., et al. A new decline curve analysis method for layered reservoirs. Paper SPE 195085 Presented at SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain, 18-21 March, 2019.
Joshi, K., Lee, W.J. Comparison of various deterministic forecasting techniques in shale gas reservoirs. Paper SPE 163870 Presented at SPE Hydraulic Fracturing Technology Conference, Woodlands, Texas, USA, 4-6 February, 2013.
Kanfar, M., Wattenbarger, R. Comparison of empirical decline curve methods for shale wells. Paper SPE 162648 Presented at SPE Canadian Unconventional Resources Conference, Calgary, Alberta, Canada, 30 October-1 November, 2012.
Zhao, K., Du, P. A new production prediction model for multistage fractured horizontal well in tight oil reservoirs. Adv. Geo-Energy Res. 2020, 4(2): 152-161.
Liang, T., Chang, Y., Guo, X., et al. Influence factors of single well’s productivity in the Bakken tight oil reservoir, Williston basin. Pet. Explor. Dev. 2013, 40(3): 383-388.
Male, F. Assessing impact of uncertainties in decline curve analysis through hindcasting. J. Pet. Sci. Eng. 2019, 172: 340-348.
Ozkan, E., Brown, M.L., Raghavan, R., et al. Comparison of fractured-horizontal-well performance in tight sand and shale reservoirs. SPE Reserv. Eval. Eng. 2011, 14(2): 248-259.
Paryani, M., Ahmadi, M., Awoleke, O., et al. Decline curve analysis: A comparative study of proposed models using improved residual functions. J. Pet. Environ. Biotechnol. 2018, 9(1): 1-8.
Qanbari, F., Clarkson, C.R. Production data analysis of multi-fractured horizontal wells producing from tight oil reservoirs-bounded stimulated reservoir volume. Paper SPE 167727 Presented at SPE/EAGE European Unconventional Conference and Exhibition, Vienna, Austria, 25-27 February, 2014.
Qin, J., Cheng, S., He, Y., et al. Decline curve analysis of fractured horizontal wells through segmented fracture model. J. Energy Resour. Technol. 2019, 141(1): 012903.
Robertson, S. Generalized hyperbolic equation. Paper SPE 18731 Presented at Society of Petroleum Engineers, Richardson, TX, USA, 1 January, 1988.
Stalgorova, K., Mattar, L. Analytical model for unconventional multifractured composite system. SPE Reserv. Eval. Eng. 2013, 16(3): 246-256.
Tan, L., Zuo, L., Wang, B. Methods of decline curve analysis for shale gas reservoirs. Energies 2018, 11(3): 552.
Valk, P.P. Assigning value to stimulation in the Barnett shale: A simultaneous analysis of 7000 plus production histories and well completion records. Paper SPE 119369 Presented at SPE Hydraulic Fracturing Technology Conference, Woodlands, TX, USA, 19-21 January, 2009.
Valk, P.P., Lee, J.W. A better way to forecast production from unconventional gas wells. Paper SPE 134231 Presented at SPE Annual Technical Conference and Exhibition, Florence, Italy, 19-22 September, 2010.
Van Everdingen, A.F., Hurst, W. The application of the laplace transformation to flow problems in reservoirs. J. Pet. Technol. 1949, 1(12): 305-324.
Wang, H., Liao, X., Lu, N., et al. A study on development effect of horizontal well with SRV in unconventional tight oil reservoir. J. Energy Inst. 2014, 87(2): 114-120.
Wang, K., Li, H., Wang, J., et al. Predicting production and estimated ultimate recoveries for shale gas wells: A new methodology approach. Appl. Energy 2017, 206: 1416-1431.
Wang, W., Fan, D., Sheng, G., et al. A review of analytical and semi-analytical fluid flow models for ultra-tight hydrocarbon reservoirs. Fuel 2019, 256: 115737.
Xi, Z., Morgan, E. Combining decline-curve analysis and geostatistics to forecast gas production in the Marcellus shale. SPE Reserv. Eval. Eng. 2019, 22(4): 1562-1574.
Yu, Y., Chen, Z., Xu, J. A simulation-based method to determine the coefcient of hyperbolic decline curve for tight oil production. Adv. Geo-Energy Res. 2019, 3(4): 375-380.
Zhang, H., Rietz, D., Cagle, A., et al. Extended exponential decline curve analysis. J. Nat. Gas Sci. Eng. 2016, 36: 402-413.
DOI: https://doi.org/10.46690//ager.2020.03.07
Refbacks
- There are currently no refbacks.
Copyright (c) 2020 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.