Building geostatistical models constrained by dynamic data - a posteriori constraints

G. Blanc, Dominique Guerillot, D. Rahon, F. Roggero

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

This paper describes one solution to the problem of constraining geostatistical models by well-test results which has been obtained within the frame of the HELIOS research project conduced by Elf and IFP in the field of reservoir engineering. To do so, a numerical simulation program devoted to the simulation of well-tests has been coupled with a nonlinear constrained optimization program to make an inversion loop. The resulting software package provides the reservoir engineer with a tool to compute the set of optimal facies or rock-type properties and the well skin which give the best fit between the simulated and the measured well pressure during the test duration. Any petrophysical facies or rock-type property can be assigned either a constant value everywhere or a Gaussian distribution defined by its mean and its standard deviation.

Original languageEnglish
Title of host publicationNPF/SPE European 3-D Reservoir Modelling Conference
PublisherSociety of Petroleum Engineers (SPE)
Pages19-33
Number of pages15
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 NPF/SPE European 3-D Reservoir Modelling Conference - Stavanger, Norway
Duration: 16 Apr 199617 Apr 1996

Other

OtherProceedings of the 1996 NPF/SPE European 3-D Reservoir Modelling Conference
CityStavanger, Norway
Period16/4/9617/4/96

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Blanc, G., Guerillot, D., Rahon, D., & Roggero, F. (1996). Building geostatistical models constrained by dynamic data - a posteriori constraints. In NPF/SPE European 3-D Reservoir Modelling Conference (pp. 19-33). Society of Petroleum Engineers (SPE).