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Blasingame production decline type curves for analysing a multi-fractured horizontal well in tight gas reservoirs

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Abstract

Production decline analysis has been considered as an important method to obtain the flow parameters, reservoir properties and original gas in place. Although advanced Blasingame production decline analysis methods for vertical wells, fractured wells and horizontal wells are widely used, limited study has conducted on Blasingame production decline type curves for multi-fractured horizontal well (MFHW). Based on the perpendicular bisection (PEBI) grids, a numerical model was developed and the solution was obtained using control volume finite element method and the fully implicit method. Blasingame production decline-type curves of the infinitely conductive MFHW were plotted through computer programming. A field case was presented to analyse and verify the model developed. Five flow regimes, including early formation linear flow, early radial flow, compound linear flow, transient flow and pseudo-radial flow, are recognized. Fracture spacing is the main factor that affects early radial flow, compound linear flow and transient flow, the distance from the well to the circular boundary affects the pseudo-radial flow, and the type curves are also significantly affected by the formation permeability, fracture number and fracture half-length. The validation of field case suggests that the Blasingame production decline type curves proposed in this work can be applied to the production decline analysis for MFHW in tight gas reservoirs.

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References

  1. HOLDITCH S A. Tight gas sands [J]. Journal of Petroleum Technology, 2006, 58(6): 86–93.

    Article  Google Scholar 

  2. WANG Yong-hui, LU Yong-jun, LI Yong-ping, WANG Xin, YAN Xue-mei, ZHANG Zhi-yong. Progress and application of hydraulic fracturing technology in unconventional reservoir [J]. Acta Petrolei Sinica A, 2012, 33(1): 149–158. (in Chinese)

    Google Scholar 

  3. LEI Z, CHENG S, LI, X, XIAO H. A new method for prediction of productivity of fractured horizontal wells based on non-steady flow [J]. Journal of Hydrodynamics B, 2007, 19(4): 494–500.

    Article  Google Scholar 

  4. GRIESER W V, SHELLERY R F, SOLIMAN M Y. Predicting production outcome from multi-stage, horizontal Barnett completions [C]// SPE Production and Operations Symposium. Oklahoma: Society of Petroleum Engineers, 2009: 1–10.

    Google Scholar 

  5. ALI A J, SIDDIQUI S, DEHGHANPOUR H. Analyzing the production data of fractured horizontal wells by a linear triple porosity model: Development of analysis equations [J]. Journal of Petroleum Science and Engineering, 2013, 112: 117–128.

    Article  Google Scholar 

  6. LIN J, ZHU D. Modeling well performance for fractured horizontal gas wells [J]. Journal of Natural Gas Science and Engineering, 2014, 18: 180–193.

    Article  Google Scholar 

  7. ARNOLD R, ANDERSON R. Preliminary report on the Coalinga oil district, Fresno and Kings counties [R]. California, USA: US Government Printing Office, 1908.

    Google Scholar 

  8. ARPS J J. Analysis of decline curves [J]. Transactions of the AIME, 1945, 160(1): 228–247.

    Article  Google Scholar 

  9. ILK D, RUSHING J A, PEREGO A D, BLASINGAME T A. Exponential vs hyperbolic decline in tight gas sands: Understanding the origin and implications for reserve estimates using Arps' decline curves [C]// SPE Annual Technical Conference and Exhibition. Colorado, USA: Society of Petroleum Engineers, 2008: 1–23.

    Google Scholar 

  10. FETKOVICH M J. Decline curve analysis using type curves [J]. Journal of Petroleum Technology, 1980, 32(6): 1065–1077.

    Article  Google Scholar 

  11. SHAHVERDI H R. Determining of fractured reservoir properties by decline rate [D]. Tehran: Tehran University, 2005.

    Google Scholar 

  12. BLASINGAME T A, LEE W J. Variable rate reservoir limits testing [C]// Permian Basin Oil & Gas Recovery Conference. Midland, USA: Society of Petroleum Engineers, 1986: 1–9.

    Google Scholar 

  13. PALACIO J C, BLASINGAME T A. Decline-curve analysis using type curves-analysis of gas well production data [C]// The SPE Rocky Mountain Regional/Low Permeability Reservoirs Symposium. Denver, USA: Society of Petroleum Engineers, 1993: 1–10.

    Google Scholar 

  14. PRATIKNO H, RUSHING J A, BLASINGAME T A. Decline curve analysis using type curves-fractured wells [C]// SPE Annual Technical Conference and Exhibition. Denver, USA: Society of Petroleum Engineers, 2003: 1–14.

    Google Scholar 

  15. SHIH M Y, BLASINGAME T A. Decline curve analysis using type curves: horizontal wells [C]// The 1995 Joint Rocky Mountain Regional/Low Permeability Reservoirs Symposium. Denver, USA: Society of Petroleum Engineers, 1995: 1–11.

    Google Scholar 

  16. CLARKSON C R, JORDAN C L, ILK D, BLASINGAME T A. Production data analysis of fractured and horizontal CBM wells [C]// The 2009 SPE Eastern Regional Meeting. Charleston, USA: Society of Petroleum Engineers, 2009: 1–30.

    Google Scholar 

  17. ZAREENJAD M H, GHANAVATI M, ASL A K. Production data analysis of horizontal wells using vertical well decline models, a field case study of an oil field [J]. Petroleum Science and Technology, 2014, 32(4): 418–425.

    Article  Google Scholar 

  18. WANG Jun-lei, YAN Cun-zhang, JIA Ai-lin, HE Dong-bo, WEI Yun-sheng, QI Ya-dong. Rate decline analysis of multiple fractured horizontal well in shale reservoir with triple continuum [J]. Journal of Central South University, 2014, 7(21): 4320–4329.

    Article  Google Scholar 

  19. KETINENI S P. Analysis of production decline characteristics of a multi-stage hydraulically fractured horizontal well in a naturally fractured reservoir [D]. Pennsylvania, USA: Pennsylvania State University, 2012.

    Google Scholar 

  20. NOBAKHT M, MATTAR L, MOGHADAM S, ANDERSON D M. Simplified yet rigorous forecasting of tight/shale gas production in linear flow [C]// The SPE Western Regional Meeting. Anaheim, California, USA, 2010: 1–7.

    Google Scholar 

  21. NOBAKHT M, CLARJSON C R, KAVIANI D. New type curves for analyzing horizontal well with multiple fractures in shale gas reservoirs [J]. Journal of Natural Gas Science and Engineering, 2013, 10: 99–112.

    Article  Google Scholar 

  22. ZHAO G. A simplified engineering model integrated stimulated reservoir volume (SRV) and tight formation characterization with multistage fractured horizontal wells [C]// The SPE Canadian Unconventional Resources Conference. Calgary, Society of Petroleum Engineers, 2012: 1–18.

    Google Scholar 

  23. OLORODE O M. Numerical modeling of fractured shale-gas and tight-gas reservoirs using unstructured grids [D]. Texas, USA: Texas A&M University, 2011.

    Google Scholar 

  24. LI D, XU C, WANG J Y, LU D T. Effect of Knudsen diffusion and Langmuir adsorption on pressure transient response in tight-and shale-gas reservoirs [J]. Journal of Petroleum Science and Engineering, 2014, 124: 146–154.

    Article  Google Scholar 

  25. CHEN J, LI T, ZHANG Y. Application of the unstructured grids in the numerical simulation of fractured horizontal wells in ultra-low permeability gas reservoirs [J]. Journal of Natural Gas Science and Engineering, 2015, 22: 580–590.

    Article  Google Scholar 

  26. IMAM K. Evaluating hydraulic fracture properties using well test analysis on multi fractured horizontal wells [C]// The SPE/PAPG Annual Technical Conference. Islamabad, Society of Petroleum Engineers, 2013: 1–15.

    Google Scholar 

  27. MLACNIK M J, DURLOFSKY L J. Unstructured grid optimization for improved monotonicity of discrete solutions of elliptic equations with highly anisotropic coefficients [J]. Journal of Computational Physics, 2006, 216(1): 337–361.

    Article  MathSciNet  MATH  Google Scholar 

  28. ZHA Wen-shu, LI Dao-lun, LU De-tang, KONG Xian-hui. PEBI grid division in inter-well interference area [J]. Acta Petrolei Sinica, 2008, 29(5): 742–746. (in Chinese)

    Google Scholar 

  29. FUNG L S K, HIEBERT A D, NGHIEM L X. Reservoir simulation with a control-volume finite-element method [J]. SPE Reservoir Engineering, 1992, 7(3): 349–357.

    Article  Google Scholar 

  30. CAO T, DUAN Y, WANG R, ZHANG L, FANG Q. Numerical simulation and production decline analysis of multiply fractured horizontal wells in shale gas reservoirs [J]. Journal of Engineering Research, 2015, 3(3): 157–177.

    Article  Google Scholar 

  31. SAAD Y, SCHULTZ M H. GMRES: A generalized minimal residual algorithm for solving non-symmetric linear systems [J]. Journal on Scientific and Statistical Computing, 1986, 7(3): 856–869.

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Ming-qiang Wei  (魏明强).

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Foundation item: Project(2013CB228005) supported by the National Basic Research Program of China

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Wei, Mq., Duan, Yg., Chen, W. et al. Blasingame production decline type curves for analysing a multi-fractured horizontal well in tight gas reservoirs. J. Cent. South Univ. 24, 394–401 (2017). https://doi.org/10.1007/s11771-017-3441-9

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  • DOI: https://doi.org/10.1007/s11771-017-3441-9

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