渗透率测井评价:现状及发展方向  

Permeability logging evaluation:Current status and development directions

作　　者：李宁[1] 王克文[1] 武宏亮[1] 冯周[1] 刘鹏 李雨生 LI Ning;WANG Kewen;WU Hongliang;FENG Zhou;LIU Peng;LI Yusheng(Research Institute of Petroleum Exploration and Development(RIPED),PetroChina,Beijing 100083,China)

机构地区：[1]中国石油勘探开发研究院,北京100083

出　　处：《石油科学通报》2023年第4期432-444,共13页Petroleum Science Bulletin

基　　金：中国石油天然气集团公司“十四五”测井基础前沿研究项目(2022DJ3908)资助

摘　　要：渗透率是十分重要而又难以准确计算的储层参数之一。目前渗透率测井评价主要依据4类方法,即:基于孔渗关系的渗透率评价、基于核磁共振测井的渗透率评价、基于斯通利波测量的渗透率评价以及基于大数据和人工智能的渗透率评价。通过对上述方法适用性的分析发现,井筒斯通利波与储层孔隙空间流体的流动性密切相关,在储层渗透率评价中具有明显优势。但目前渗透率测井评价面临艰巨挑战,其原因包括3个方面,即:确定渗透率参数本身的理论、实验难度,评价对象复杂性的日益增大和尚未形成能用于井下连续测量渗透率的装备。本文指出,推进斯通利波渗透率评价理论、方法和技术研究,构建新的以斯通利波测量为核心的渗透率评价技术体系是新一代测井技术发展的方向。Permeability is one of the important and difficult to accurately calculate reservoir parameters.At present,the evaluation of permeability logging mainly has four types of methods,namely:permeability evaluation based on porosity-permeability relationship,permeability evaluation based on nuclear magnetic resonance logging,permeability evaluation based on Stoneley wave measurement,and permeability evaluation based on big data and artificial intelligence.Through the analysis of the applicability of the above methods,it was found that the wellbore Stoneley wave is closely related to the fluidity of fluid in the reservoir pore space and has a significant advantage in permeability evaluation.However,at present the permeability logging evaluation faces great challenges due to three reasons:the theoretical and experimental difficulty of determining permeability parameters themselves,the increasing complexity of evaluation objects,and the lack of equipment that can be used for continuous permeability measurement underground.This article points out that promoting the research on the theory,methods,and techniques of Stoneley wave permeability evaluation and constructing a new permeability evaluation technology system centered on Stoneley wave measurement is the development direction of the new generation logging technology.

关 键 词：渗透率 孔隙度 斯通利波 核磁共振测井 大数据 

分 类 号：P631.81[天文地球—地质矿产勘探]