Abstract
Among all the sophisticated techniques developed for data analysis, geostatistics is undoubtedly the most suitable for natural phenomena studies. Conditional simulation, one of the geostatistical techniques, has been applied in the Lagoa Parda field characterization to study the spatial distribution of discontinuous shales, using the clay volume (VSH) supplied by gamma ray logs from 47 wells as the regionalized variable. The variographic analysis showed two main directions (E-W and N-S) and the conditional simulation generated a three-dimensional distribution of the clay volume that reproduced the real (experimental) variability.
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References
DESBARATS, A.J., 1987: “Numerical estimation of effective permeability in sand-shale”. Water Resources Research, v. 23, n. 2, p. 273–286.
DUBRULE, & O. HALDORSEN, H. H., 1986: “Geostatistics for permeability estimation”. In: Reservoir characterization, New York, Academic Press, p. 223–247.
FERREIRA, & A.A. PINTO, A.C.C., 1986: “Estudo de Reserva tdrio do Campo de Lagoa Parda”. Internal report, PETROBRAS,Rio de Janeiro,Brazil.
FERREIRA, A.A., 1988: “Caracterizaçâo de reservatôrios de petrôleo através de anélise geoestatistica”. MSc.Thesis,Federal University of Ouro Preto, Brazil.
HALDORSEN, H. H., 1983: “Reservoir characterization procedures for numerical simulation”. Ph.D. dissertation. The University of Texas at Austin, 556 p.
JOURNEL, A.G. & HUIJBREGTS, C.J.,1978: “Mining Geostatistics”. Academic Press, London.
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© 1989 Springer Science+Business Media Dordrecht
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Remacre, A.Z., Ferreira, A.A., Souza, O.G. (1989). Spatial Distribution of Erratic Shales Using Conditional Simulation. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_39
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DOI: https://doi.org/10.1007/978-94-015-6844-9_39
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-015-6846-3
Online ISBN: 978-94-015-6844-9
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