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- W2910034588 abstract "The objective of this project is to advance the state-of-the-art and to develop an integrity inspection system capable of detecting physical flaws in the wellbore structure of conventional and unconventional hydrocarbon producing wells. Measuring the integrity of multiple wellbore casings and cement annuli for onshore and offshore wells remains a challenging task. We propose a multi-modality inspection system composed of neutron and X(gamma)-ray imaging modalities (nXis) to address the above challenge. The functional principle of this wellbore integrity inspection system is the combination of high-energy modalities, such as X(gamma)-ray and neutron backscatter imaging, with conventional low-energy modalities, such as electromagnetic or ultrasound imaging techniques. By combining multiple sensing modalities into one sensing system and by fusing data between modalities, one can gather more information about the integrity of the wellbore structure compared to simply using multiple sensors individually. Imaging prototypes for gamma, neutron, and electromagnetics were designed, manufactured, and tested at GE Global Research and Starfire Industries. Wellbore phantoms with engineered defects were manufactured and the performance of the developed wellbore integrity inspection tool prototypes was evaluated in a test pit test at an industrial GE Oil & Gas facility. Data analysis and fusion between various inspection techniques show enhanced defect detectability. These exciting results were presented at various technical conferences and discussed with operators in the oil & gas industry. Great interest from oil operators lead to discussions about joint industrial partnerships to move the developed technology from the prototype phase to the product phase." @default.
- W2910034588 created "2019-01-25" @default.
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- W2910034588 date "2017-06-30" @default.
- W2910034588 modified "2023-09-26" @default.
- W2910034588 title "NXIS - Well integrity inspection in unconventional gas wells" @default.
- W2910034588 doi "https://doi.org/10.2172/1375716" @default.
- W2910034588 hasPublicationYear "2017" @default.
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