Ultrasound image reconstruction and enhancement for structural diagnostics of wells and pipes

用于井和管道结构诊断的超声图像重建和增强

• 批准号: 568495-2021
• 负责人: Rakhmatov, Daler
• 金额: $ 3.5万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=720643
• 关键词: Ultrasound; image; reconstruction; enhancement; structural

The proposed research project aims to develop novel imaging algorithms for efficient multidimensional ultrasound data acquisition and processing. These will be used for nondestructive structural diagnostics of the interior of fluid-filled wells and pipes. The planned research activities will address two main challenges: 1) reconstructing images from raw signals (reflected echoes), acquired by a multi-element transducer after transmitting steered ultrasound beams to insonify an inhomogeneous-medium section of interest, and 2) enhancing such images to obtain a high-resolution reflectivity map of the imaged section to reveal localized structural defects (if present), such as cracks, holes, corrosions, and obstructions. The resulting image reconstruction and enhancement algorithms (to be incorporated into the partner's proprietary imaging products) will facilitate early detection, characterization, and remediation of any potential structural integrity concerns. These are crucial for improving the environmental safety and operational efficiency of the aforementioned wells and pipes.The proposed Alliance partnership is expected to strengthen the industrial partner's global competitiveness in the ultrasonic nondestructive testing sector. It will also allow the research trainees to gain strong collaboration, communication, and problem-solving skills while tackling complex industry-centric technical challenges.

提出的研究项目旨在开发新的成像算法，以实现高效的多维超声数据采集和处理。这些仪器将用于对充满流体的油井和管道内部进行无损结构诊断。计划中的研究活动将解决两个主要挑战：1)从原始信号(反射回波)重建图像，该原始信号(反射回波)由多元换能器在发射转向超声波束后获取，以电离目标的非均匀介质部分，以及2)增强此类图像以获得成像部分的高分辨率反射率图，以揭示局部结构缺陷(如果存在)，如裂缝、孔洞、腐蚀和障碍物。由此产生的图像重建和增强算法(将整合到合作伙伴的专有成像产品中)将有助于及早发现、表征和补救任何潜在的结构完整性问题。这些对于提高上述油井和管道的环境安全和作业效率至关重要。拟议的联盟伙伴关系预计将加强行业合作伙伴在超声波无损检测领域的全球竞争力。它还将使研究实习生在应对以行业为中心的复杂技术挑战的同时，获得强大的协作、沟通和解决问题的技能。