Abstract
A procedure is outlined for estimating unknown proportions of mixtures of mineralogic components in porous sedimentary rocks in situations where the number of components exceeds the number of measured rock properties on which estimates are to be based. A probabilistic approach is proposed in which a prior probability distribution is imposed on values taken on by the set of components and optimal estimates are obtained by maximizing the conditional probability defined for those values which are consistant with the given information. The introduction of prior probability distributions to the problem of component estimation under uncertainty offers a new direction in formation evaluation.
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© 1970 Plenum Press, New York
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McCammon, R.B. (1970). Component Estimation under Uncertainty. In: Merriam, D.F. (eds) Geostatistics. Computer Applications in the Earth Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7103-2_5
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DOI: https://doi.org/10.1007/978-1-4615-7103-2_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-7105-6
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