Published in Petroleum Transactions, AIME, Volume 210, 1957, pages 252–259. Abstract Volumetric reservoir analysis is dependent upon a firm relationship between porosity, connate water, and net pay. Capillary pressure data on core samples interrelate these three factors. It is shown that other reservoir problems may be resolved:whether water production is indigenous or extraneous to the oil producing interval,an oil-water contact is being approached, andwhether the oil-water contact is remotely situated. Introduction Volumetric analysis of carbonate reservoirs challenges the ingenuity of the reservoir engineer due to an absence of data on the minimum oil-bearing and oil-producing pores of a given reservoir rock. Many studies with this as the ultimate objective are available on the physical characteristics and fluid-flow behaviors of the carbonate reservoir. Some of these publications are: Hassler, Brunner and Deahl's study of the role of capillarity in oil production; Jan Law's and A. C. Bulnes statistical treatment of core analysis data; Chalkley's method for estimating specific surface areas and porosity; Walter Rose's report on porosity, reserves, and recovery; Archie's textural classification of carbonate rocks; Stewart and Spurlock's large core analysis; Purcell's mercury injection method in studying capillary pressure phenomena; Stewart, Craig, and Morse's model multiple-phase flow test in investigating the relative permeability effect; and Fatt's illuminating network model of porous media. The present study shows that the static reservoir parameters of porosity, connate water, and net productive thickness may be interrelated by utilizing a statistical arrangement of mercury capillary pressure data in addition to routine core analysis. This report summarizes the techniques that are followed to obtain these relations which are applicable to carbonate and sandstone reservoirs that do not contain clays. Capillary pressure statistical studies may be extended to include clay-bearing rocks by utilizing water capillary pressure data.
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