A method and related system for quantitatively characterizing a reservoir using well log data

CN122113339APending Publication Date: 2026-05-29PETROCHINA CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
PETROCHINA CO LTD
Filing Date
2024-11-28
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing reservoir characterization methods struggle to accurately obtain key parameters in the mid-to-late stages of oilfield development, leading to inaccurate characterization results and an inability to provide detailed potential tapping suggestions. This is especially true when reservoir pressure decreases and well conditions become complex, as reservoir heterogeneity limits the evaluation process.

Method used

Quantitative reservoir characterization was performed using well logging data. Porosity and permeability models were established by layering, and a three-dimensional geological model was constructed by combining dynamic monitoring of inter-well connectivity. The inter-well permeability level and the degree of vertical reservoir activation were determined using tracer analysis. Core description and geological stratification were performed in conjunction with the geological background.

Benefits of technology

It enables precise tapping of reservoir potential, provides more accurate reservoir evaluation and development guidance, improves the accuracy and completeness of reservoir characterization, and supports the scientific formulation of reservoir development plans.

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Abstract

The application provides a method and related system for quantitatively characterizing an oil reservoir by using logging data, and belongs to the technical field of oil and gas field exploration and development. Logging and dynamic data are fully utilized, logging is finely divided, layered modeling is performed, different levels of sand body configuration characterization are performed through porosity and permeability of logging, dynamic monitoring is performed on logging data of a target oil reservoir, interwell connectivity is analyzed, interwell permeability levels and longitudinal producing degrees of the reservoir are determined, sand body connectivity analysis is comprehensively performed by using dynamic and static data, research and field practice are combined, research results are used to guide field production, and the quantitative characterization of the oil reservoir is more accurate, and the guidance for tapping the potential of remaining oil is more accurate.
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