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首页|期刊导航|Artificial Intelligence in Geosciences|Recent advances and challenges of cement bond evaluation based on ultrasonic measurements in cased holes

Recent advances and challenges of cement bond evaluation based on ultrasonic measurements in cased holes

Hua Wang Meng Li Qiang Wang Shaopeng Shi Gengxiao Yang Zhilong Fang Aihua Tao Meng Wang

Artificial Intelligence in Geosciences2026,Vol.7Issue(1):P.294-337,44.
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Artificial Intelligence in Geosciences2026,Vol.7Issue(1):P.294-337,44.DOI:10.1016/j.aiig.2025.100170

Recent advances and challenges of cement bond evaluation based on ultrasonic measurements in cased holes

Hua Wang 1Meng Li 2Qiang Wang 3Shaopeng Shi 3Gengxiao Yang 4Zhilong Fang 3Aihua Tao 5Meng Wang5

作者信息

  • 1. School of Resources and Environment,University of Electronic Science and Technology of China,Chengdu,611731,China Shenzhen Institute for Advanced Study,University of Electronic Science and Technology of China,Shenzhen,518110,China
  • 2. School of Earth Sciences and Engineering,Xi’an Shiyou University,Xi’an,710065,China
  • 3. School of Resources and Environment,University of Electronic Science and Technology of China,Chengdu,611731,China
  • 4. Shenzhen Institute for Advanced Study,University of Electronic Science and Technology of China,Shenzhen,518110,China
  • 5. China Oilfield Services Limited,Tianjin,300451,China
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摘要

关键词

Cement bond quality evaluation/Ultrasonic logging/Cased holes/Acoustic wave

分类

能源科技

引用本文复制引用

Hua Wang,Meng Li,Qiang Wang,Shaopeng Shi,Gengxiao Yang,Zhilong Fang,Aihua Tao,Meng Wang..Recent advances and challenges of cement bond evaluation based on ultrasonic measurements in cased holes[J].Artificial Intelligence in Geosciences,2026,7(1):P.294-337,44.

基金项目

supported by a National Natural Science Foundation of China(Grant numbers 42474167,41974150,42174158,W2522002) (Grant numbers 42474167,41974150,42174158,W2522002)

Natural Science Basic Research Program of Shaanxi(2023-JC-YB-220) (2023-JC-YB-220)

the Shenzhen Science and Technology Program(grant numbers JCYJ20230807120007015 and RCJC20231211085916003). (grant numbers JCYJ20230807120007015 and RCJC20231211085916003)

Artificial Intelligence in Geosciences

2666-5441

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