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Abstract

Summary

In the interpretation of production data, challenges arise when the data exhibits “anomalies” caused by events such as recompletions, changes in drive mechanism, long-term shut-ins and unusual fluctuations in flow rate and pressure. The method available in literature for resolving such anomalies when using modern decline type curves (MDTCs), which employ material balance time/pseudotime functions, involves a reinitialization approach which is impractical if past production data are unavailable or of low quality.

This study, therefore, examines the reliability of a new approach proposed here to reinitialization for MDTC analysis, in which the time after each shut-in period is reset, and the last estimated average reservoir pressure prior to shut-in, with the corresponding fluid properties, is used as the initial condition for the reinitialized cycle. Here historical cumulative production is not employed in the computation of the material balance time function. The approach is verified using multiple-cycle production data (i.e. series of flowing and shut-in periods) generated from 1-dimensional single-well reservoir simulation models, with particular focus on cases with long term shut-ins.

The results demonstrate the practicality and reliability of the proposed simple and efficient approach for the analysis of individual production cycles to reliably estimate reservoir and well productivity parameters.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201801359
2018-06-11
2024-04-20

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References

  1. Al-Hussainy, R., Ramey, H. J.Jr. and Crawford, P. B.
    [1966] The Flow of Real Gases Through Porous Media. Journal of Petroleum Technology, 18(05), 624–636.
     [Google Scholar]
  2. Arps, J. J.
    [1945] Analysis of Decline Curves. Transactions of the AIME, 160(01), 228–247.
     [Google Scholar]
  3. Clarkson, C. R. and Qanbari, F.
    [2016] History Matching and Forecasting Tight Gas Condensate and Oil Wells by Use of an Approximate Semianalytical Model Derived From the Dynamic-Drainage-Area Concept. SPE Reservoir Evaluation & Engineering, 19(04), 540–552.
     [Google Scholar]
  4. Doublet, L. E., Pande, P. K., McCollum, T. J. and Blasingame, T. A.
    [1994] Decline Curve Analysis Using Type Curves Analysis of Oil Well Production Data Using Material Balance Time: Application to Field Cases. International Petroleum Conference and Exhibition of Mexico, Veracruz, Mexico, SPE 28688.
     [Google Scholar]
  5. Fetkovich, M. J.
    [1980] Decline Curve Analysis Using Type Curves. Journal of Petroleum Technology, 2(06), 1065– 1077.
     [Google Scholar]
  6. Fetkovich, M. J., Vienot, M. E., Bradley, M. D. and Kiesow, U. G.
    [1987] Decline Curve Analysis Using Type Curves: Case Histories. SPE Formation Evaluation, 2(04), 637–656.
     [Google Scholar]
  7. Fetkovich, M. J., Fetkovich, E. J. and Fetkovich, M. D.
    [1996] Useful Concepts for Decline Curve Forecasting, Reserve Estimation, and Analysis. SPE Journal, 11(01), 13–22.
     [Google Scholar]
  8. Fraim, M. L. and Wattenbarger, R. A.
    [1988] Decline Curve Analysis for Multiphase Flow. SPE Annual Technical Conference and Exhibition, Houston, Texas, SPE 18274.
     [Google Scholar]
  9. Lacayo, J. and Lee, J.
    [2014] Pressure Normalization of Production Rates Improves Forecasting Results. SPE Unconventional Resources Conference, The Woodlands, Texas, SPE-168974-MS.
     [Google Scholar]
  10. Palacio, J. C. and Blasingame, T. A.
    [1993] Decline-Curve Analysis Using Type Curves — Analysis of Gas Well Production Data. Low Permeability Reservoirs Symposium, Denver, Colorado, SPE 25909.
     [Google Scholar]
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Multiple-Cycle Production Data Analysis Using Modern Decline Type Curves
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201801359
/content/papers/10.3997/2214-4609.201801359
/content/papers/10.3997/2214-4609.201801359
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