Interpretation and Identification of Effective Carbonate Reservoir Based on Principal Component Analysis

doi:10.11885/j.issn.1674-5086.2023.09.25.02

Abstract

Abstract: The Kalataer Formation in the Kekeya Area of the Southwest Tarim Depression is a carbonate reservoir, and its pore-fracture system determines the enrichment degree of oil and gas. It is extremely difficult and ineffective to identify and evaluate the pore-fracture system using a single logging parameter. This paper takes the principal component analysis method as the core, couples multiple components under the condition of minimal information loss, and proposes a new method for interpreting and evaluating the storage space of carbonate rock pore-fracture systems based on conventional logging data, aiming to achieve joint quantitative analysis and evaluation of high-density vertical pore-fracture systems in unimaged logging areas. The logging curve data used in this study include sonic logging curves, density logging curves, neutron logging curves, deep lateral logging curves, and shallow lateral logging curves, combined with measured porosity and permeability data, mercury injection test data, etc., to establish a mathematical model for interpreting secondary pore-fracture reservoirs in the Kekeya Area of the southwest Tarim Depression, quantifying the storage space of the carbonate rock pore-fracture system. The research results show that the identification results of the porous-fractured reservoir interpretation model of the Kalataer Formation in the Kerkeya Area are highly consistent with the interpretation results of the imaging logging, with a matching rate of up to 73%, indicating the effectiveness of the method. The research results can provide a solid guarantee for the efficient exploration of tight carbonate oil and gas reservoirs.

Key words: tight carbonate rock, pore-fracture system, principal component analysis, reservoir space identification, Karatar Formation

CLC Number:

TE122

XU Wensheng, SUN Yaoxi, LIU Qiguang, PANG Xiongqi, ZHANG Hu. Interpretation and Identification of Effective Carbonate Reservoir Based on Principal Component Analysis[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2025, 47(3): 25-36.

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