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Sedimentology |
Department of Petroleum Engineering, The University of Texas at Austin, Austin, TX 78712, USA
Carbonate reservoirs pose many challenges to geologists and engineers. Lithofacies variations are often the key to the determination of commercial value and efficient reservoir exploitation. Thus, techniques which permit the identification of the involved lithofacies would be useful. This paper illustrates a successful application of multidimension techniques in two-dimensional space, by using cross plots of a variety of well logs that have a principle component sensitivity to the lithofacies. This paper also examines the appropriateness of techniques which relate log data to core-derived permeability. These approaches have previously been associated with the intergranular shaly sand rocks and not carbonates. The technique shown approaches this from a Kozeny-core correlation which is used to predict the surface area parameter. This is then followed by development of a link to log-derived bulk water values. The log derived variables can be made to work providing irreducible conditions are present or can be established.
