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非电阻率测井流体识别研究现状及展望

袁立鑫 武宏亮 冯周 田瀚 王克文 刘鹏

测井技术2024,Vol.48Issue(3):273-289,17.
测井技术2024,Vol.48Issue(3):273-289,17.DOI:10.16489/j.issn.1004-1338.2024.03.001

非电阻率测井流体识别研究现状及展望

Current Situation and Prospect of Fluid Identification in Non-Resistivity Logging

袁立鑫 1武宏亮 1冯周 1田瀚 1王克文 1刘鹏1

作者信息

  • 1. 中国石油勘探开发研究院,北京 100083
  • 折叠

摘要

Abstract

Currently resistivity logging is the primary method for fluid identification. However, accurately identifying fluid properties in formations with low porosity and permeability, significant reservoir heterogeneity, and unique mineral development poses challenges. To address this issue in complex reservoirs, some non-resistivity logging-based methods have been developed to identify fluid properties. This paper describes the principles, application examples, and adaptation conditions of these methods. The following viewpoints are proposed regarding the development direction of non-resistivity logging fluid identification methods: optimizing the two-dimensional nuclear magnetic resonance fluid identification plate by combining nuclear magnetic resonance experiments and developing three-dimensional nuclear magnetic fluid identification methods based on the improving of data quality and processing effectiveness. Directly inverting fluid characterization parameters using Stoneley waves. Conducting substantial experiments and simulations to improve the theory of chlorine yield correction and form a stable chloride ion fluid identification method. Meanwhile, trying to extract fast neutron cross-sections for fluid identification based on nuclear logging tools such as Litho Scanner. Combining machine learning algorithms for extracting fluid information and distinguishing properties from spectra. Integrating various logging techniques to determine fluid characteristics and forming the valuable workflow.

关键词

非电阻率测井/流体识别/测井新技术/复杂储层/综述

Key words

non-resistivity logging/fluid identification/new logging technology/complex reservoir/review

分类

天文与地球科学

引用本文复制引用

袁立鑫,武宏亮,冯周,田瀚,王克文,刘鹏..非电阻率测井流体识别研究现状及展望[J].测井技术,2024,48(3):273-289,17.

基金项目

中国石油天然气集团公司关键核心技术攻关项目"移动式井场岩样集成连续测量成像系统研制"(2021ZG07) (2021ZG07)

测井技术

OACSTPCD

1004-1338

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