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套管井固井质量声学检测技术现状与展望

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套管井的固井质量检测在保护油气层和环境保护等方面具有重要的意义.在固井质量评价方法中,声波测井技术作为现代测井方法之一,因其对介质声阻抗大小、水泥环内部缺失及层间粘接状况敏感等优点被广泛应用.井孔声场理论是声波测井技术的基础,本文阐述了单层以及多层套管井的声场理论研究现状;介绍了几种国内外传统的声波测井技术,概括了不同技术的原理及特点.同时介绍了人工智能方法在固井质量检测中的应用,强调了多种机器学习方法在处理测井资料提供更大的函数空间,以及帮助测井专业人员以非线性方式从高维空间发掘知识等方面的优势.从5个方面展望了声波测井技术未来可能的发展趋势,为固井质量检测提供进一步的发展建议.
Current situation and prospect of acoustic logging for casing well cementing quality
The assessment of cementing quality in well casings is crucial for reservoir protection,ensuring safety and environmental protection in oil and gas exploration and development.Acoustic logging technology,a prominent modern well logging technique,is widely utilized for its sensitivity to the acoustic impedance of the medium,the loss of cement annulus,and the state of bonding interfaces.The foundation of acoustic logging technology lies in the theory of the acoustic wave propagation in a borehole.This article provides an examination of the current research status of the acoustic field theory for both single and double casing wells.Additionally,it introduces various traditional acoustic logging techniques employed both domestically and internationally,summarizing the principles and characteristics inherent in these technologies.Furthermore,the article explores the application of artificial intelligence methods in cementing quality evaluation,highlighting the advantages of various machine learning methods in processing logging data to create a broader function space,and helping logging professionals explore knowledge from high-dimensional spaces in a nonlinear way.In conclusion,the article anticipates potential future directions and trends in acoustic logging technology across five dimensions,offering further development recommendations for the evaluation of cementing quality.

cementing quality evaluationacoustic logging technologysound field theoryartificial intelligencegeophysical loggingreview

张斯琪、曾周末、李健、陈世利、何晓、王秀明、刘洋

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天津大学精密测试技术及仪器全国重点实验室 天津 300072

中国科学院声学研究所声场与声信息国家重点实验室 北京 100190

天津大学浙江国际创新设计与智能研究院 浙江 312000

固井质量检测 声波测井技术 声场理论 人工智能 地球物理测井 综述

国家自然科学基金浙江省自然科学基金

12474459LY23E010001

2024

仪器仪表学报
中国仪器仪表学会

仪器仪表学报

CSTPCD北大核心
影响因子:2.372
ISSN:0254-3087
年,卷(期):2024.45(6)