石灰岩油層の岩質キャラクタリゼーション

抄録

This paper proposes a novel method for the grouping of rock types for the successful estimation of the in-situ absolute permeability accurately and for the smooth interpolation of relative permeability endpoints which are inevitably required for reservoir simulation models. The method consists of the grouping reservoir rocks based on the concept of electrical facies in accordance with their response to the wireline log attributes. The results showed excellent matching of the estimated absolute permeability and relative permeability endpoints to the core data prior to the application of the hydraulic unit method and multi-variate regression on each data group.
The individual electrical facies showed the unique petrophysical characteristics each other, and their distribution frequency in each sedimentary zonation exhibited distinguishing feature possibly reflecting the sedimentary environment.
The proposed approach lead to the great success on the description of the carbonate reservoir, of which petrophysical characteristic is so complicated that accurate enough estimation of the pointwise petrophysical properties could not be obtained by simple application of the ordinary hydraulic unit method nor multi-variate regression. The methodology is totally general and is considered to be applicable for a variety of reservoirs.