Яндекс.Метрика

T. Khachkova, V. Lisitsa, V. Krutko, A. Avdonin

Том: Lecture Notes in Computer Science
Том: 15888 , Год издания: 2025
Многотомное издание: Lecture Notes in Computer Science
Страницы: 419-432

Аннотация

The present study focuses on the numerical evaluation of Archie's coeffcients - specifically, the cementation parameter and saturation exponent - using a digital model of a high-permeability rock sample. Accurate estimation of these parameters is critical for reservoir development planning and optimizing hydrocarbon recovery through formation stimulation techniques. To derive the coeffcients, we construct two relationships: the formation factor versus porosity and the resistivity index versus water saturation. The paper presents a methodology and case studies for establishing these dependencies. The proposed approach involves solving two optimization problems to perform a linear regression in a logarithmic scale, based on both the generalized and classical forms of Archie's law.
индекс в базе ИАЦ: 003746