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2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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My Story: John L. Swanson—ANS member since 1978
. . . and in 2019, on his 90th birthday.
Swanson in 1951, the year of his college graduation . . .
My pre-college years were spent in a rural suburb of Tacoma, Wash. In 1947, I enrolled in Reed College, a small liberal arts school in Portland, Ore.; I majored in chemistry and graduated in 1951. While at Reed, I met and married a young lady with whom I would raise 3 children and spend the next 68 years of my life—almost all of them in Richland, Wash., where I still live.
I was fortunate to have a job each of my “college summers” that provided enough money to cover my college costs for the next year; I don’t think that is possible these days. My job was in the kitchen/dining hall of a salmon cannery in Alaska. Room and board were provided and the cannery was in an isolated location, so I could save almost every dollar of my salary.
Zhiqiang Chen, Jingjing Chen, Shuangbao Shu, Ziqiao Yu, Yuzhong Zhang, Xiaojie Tao, Xianli Lang
Nuclear Science and Engineering | Volume 196 | Number 10 | October 2022 | Pages 1255-1265
Technical Paper | doi.org/10.1080/00295639.2022.2072660
Articles are hosted by Taylor and Francis Online.
Monitoring the oil scale deposition thickness of pipelines is beneficial to ensuring the efficient and safe operation of pipelines. In this paper, an improved gamma-ray transmission method is proposed to reconstruct the two-dimensional (2D) oil scale profile of pipelines. The method combines the gamma-ray transmission method and scanning technology to measure the deposition thickness of the oil scale and rotates the gamma-ray scanning direction to different angles, after completing a transmission scanning process, to achieve the full-angle measurement of the oil scale deposition thickness. Based on this method, a set of oil scale profile detection devices is designed and the detection process is simulated by the Geant4 toolkit. In this system model, the pipelines with and without oil scale are scanned, respectively, by using the single-energy gamma-ray beam to analyze the relative transmittance of gamma rays at the energy of 0.662 MeV. The results show that the approach is efficient for detecting the deposition thickness of oil scale in oil pipelines and is accurate for the 2D oil scale profile reconstruction of a pipeline. The maximum deviation is about 0.59 cm, and the relative error is less than 5%.