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History Matching

  • Sylvester Okotie
  • Bibobra Ikporo
Chapter

Abstract

To develop a model that cannot accurately predict the past and present performance of a reservoir within a reasonable engineering tolerance of error is not a good model for predicting the future performance of the same reservoir. Hence, history matching is a process of adjusting key properties of the reservoir model to fit or match the actual historic or field data. It helps to identify the weaknesses in the available field data, it improves the reservoir description and forms the basis for the future performance predictions. To history a material balance model or reservoir simulation model, the known parameters to match or tune are the production data, PVT data, hydrocarbon properties, reservoir properties, and pressures while the unknown parameters are the water or aquifer influx and reserves (Stock tank oil initially in place, STOIIP). It is often difficult to perform history matching manually, thus, there are several simulators available to successfully history match a field with minimum tolerance of error. To achieve the desired objectives, several parameters such as rock data, fluid data, relative permeability data, pressure survey data to mention a few, need to be varied either singly or collectively to minimize the differences between the observed data and those calculated by the simulator. These variables are further quantified as low and high uncertainty. Also presented in this chapter, are the steps to match reservoir pressure, saturation, well productivity index, identification of history match problems and possible modifications and the methods of history matching.

Keyword

History matching Predictions Reservoir Simulator Pressure matching Saturation matching Rock data Fluid data Relative permeability data Pressure survey data 

References

  1. Aziz K, Settary A (1980) Petroleum reservoir simulation. Applied science publishers LTD, LondonGoogle Scholar
  2. Chavent C, Dupuy M, Lemonnier, P (1973) History matching by use of optimal control theory. Paper presented at the 48th annual meeting, Las Vegas. 30 Sept–3 Oct 1973Google Scholar
  3. Chen WH, George RG, John HS (1973) A new algorithm for automatic history matching. Paper presented at the 48th annual meeting. Las Vegas. 30 Sept–3 Oct 1973Google Scholar
  4. Crichlow HB (1977) Modern reservoir engineering- a simulation approach. Printice Hall, Inc, LondonGoogle Scholar
  5. Donnez P (2010) Essential of Reservoir Engineering, Editions Technip, Paris, 249–272Google Scholar
  6. Harris DG (1975) The role of geology in reservoir simulation studies. J Pet Technol 27(5):625–632CrossRefGoogle Scholar
  7. Hirasaki GJ (1973) Estimation of reservoir parameters by history matching oil displacement by water or gas. Paper presented at the third symposium on numerical simulation of reservoir performance, Houston, 10–12 Jan 1973Google Scholar
  8. Kelkar M, Godofredo P (2002) Applied geostatistics for reservoir characterization. In: SPE textbook series. Richardson, TexasGoogle Scholar
  9. Landa JL (1979) Reservoir parameter estimation constrained to pressure transients, performance history and distributed saturation data. PhD thesis, Stanford UniversityGoogle Scholar
  10. Liang B (2007) An Ensemble Kalman Filter module for Automatic History Matching. Dissertation presented to the Faulty of Graduate School, University of Texas, AustinGoogle Scholar
  11. Warner HR, J, Hardy JH, Robertson N, Barnes AL (1979) University block 31 field study: part 1 – middle devonian reservoir history match. J Pet Technol 31(8):962–970CrossRefGoogle Scholar
  12. Watkins AJ, Parish RG, Modine AD (1992) A stochastic role for engineering input to reservoir history matching. Paper presented at society of petroleum engineers 2nd Latin American Petroleum Exploration Conference, CaracasGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sylvester Okotie
    • 1
  • Bibobra Ikporo
    • 2
  1. 1.Department of Petroleum EngineeringFederal University of Petroleum ResourcesEffurunNigeria
  2. 2.Department of Chemical & Petroleum EngineeringNiger Delta UniversityYenagoaNigeria

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