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Application of neutron-X-ray dual-modal imaging in oil and gas well cementing under ultra-high temperature conditions
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Yabing Wena, Xinxiang Yangb, *
Petroleum Research | 2026, 11(2) : 590 - 612
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Petroleum Research | 2026, 11(2): 590-612
Review Article
Application of neutron-X-ray dual-modal imaging in oil and gas well cementing under ultra-high temperature conditions
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Yabing Wena, Xinxiang Yangb, *
Affiliations
  • aNational & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology/Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Ocean University, Zhoushan, 316022, China
  • bSchool of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK
Published: 2026-06-10 doi: 10.1016/j.ptlrs.2025.11.011
Outline
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Understanding the failure mechanisms affecting cement sheath integrity under ultra-high temperature (UHT) conditions is essential for ensuring wellbore integrity and supporting the safe and sustainable extraction of deep oil and gas resources. However, difficulties in characterizing moisture migration have limited understanding of the physicochemical mechanisms and cementing processes that drive failure of cementing materials in such environments. To address these challenges and enhance understanding of cement sheath failure mechanisms, this study systematically evaluates the adaptability and advantages of Neutron–X-ray Dual-modal Imaging (NXDI) technology. NXDI’s extensive applications in materials science, mineralogy, civil engineering, and energy research provide representative evidence of its potential. Building on this foundation, the study proposes, for the first time, a conceptual framework, technical roadmap, and future prospects for applying NXDI to cement sheath research under UHT conditions. Our findings indicate that intensified moisture migration critically affects the microstructure and physicochemical stability of cement sheaths. NXDI offers unique potential to overcome the limitations of conventional imaging methods by simultaneously characterizing moisture dynamics and microstructural evolution. Nevertheless, its application still faces challenges, including neutron imaging quality, dual-modal image fusion, sample representativeness, and practical implementation. To address these, we outline key research priorities and feasible steps. With continued advances in imaging technologies and experimental methods, NXDI is expected to play an increasingly important role in enhancing the efficiency, safety, and sustainability of deep oil and gas extraction.

Oil and gas extraction  /  Neutron imaging  /  Dual-modal imaging  /  Wellbore integrity failure  /  Moisture characterization  /  Ultra-high temperature
Yabing Wen, Xinxiang Yang. Application of neutron-X-ray dual-modal imaging in oil and gas well cementing under ultra-high temperature conditions[J]. Petroleum Research, 2026 , 11 (2) : 590 -612 . DOI: 10.1016/j.ptlrs.2025.11.011
  • China Spallation Neutron Source (CSNS)(P1323121700003; P1324072700009; P1324121300060)
  • Key R&D Program Project of Sichuan Province(2025YFHZ0335)
  • National Natural Science Foundation of China(5227040418)
Year 2026 volume 11 Issue 2
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Article Info
doi: 10.1016/j.ptlrs.2025.11.011
  • Receive Date:2025-08-15
  • Online Date:2026-07-29
  • Published:2026-06-10
Article Data
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History
  • Received:2025-08-15
  • Revised:2025-11-06
  • Accepted:2025-11-27
Funding
China Spallation Neutron Source (CSNS)(P1323121700003; P1324072700009; P1324121300060)
Key R&D Program Project of Sichuan Province(2025YFHZ0335)
National Natural Science Foundation of China(5227040418)
Affiliations
    aNational & Local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology/Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control, Zhejiang Ocean University, Zhoushan, 316022, China
    bSchool of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK

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Mile End Road, London, E1 4NS, UK. E-mail address: (X. Yang).
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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