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Identification of Subsea-Permafrost-Distribution on the Continental Shelf of the Canadian Beaufort Sea Using a Full Waveform Inversion Algorithm

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Title
Identification of Subsea-Permafrost-Distribution on the Continental Shelf of the Canadian Beaufort Sea Using a Full Waveform Inversion Algorithm
Other Titles
완전파형역산 알고리즘을 이용한 캐나다 보퍼트해 대륙붕의 해저동토층 분포 확인
Authors
Kang, Seung-Goo
Hong, Jong Kuk
Duchesne, Mathiew J
Jang, Ugeun
Kim, Sookwan
Riedel, Michael
Dallimore, Scott R.
Paull, Charles K.
Shin, Changsoo
Jin, Hyojoon
Jin, Young Keun
Keywords
Beaufort seaFull waveform inversionPermafrost
Issue Date
2019
Citation
Kang, Seung-Goo, et al. 2019. Identification of Subsea-Permafrost-Distribution on the Continental Shelf of the Canadian Beaufort Sea Using a Full Waveform Inversion Algorithm. The 25th International Symposium on Polar Sciences. KOPRI. 2019.05.14~2019.05.15.
Abstract
Since the Last Glacial Maximum {∼19 ka), Arctic permafrost regions have been flooded because of the inundation of the coastal area caused by sea-level rise, and submerged permafrost has since been melting. Previously, geophysicists have conducted research on the distribution of subsea permafrost across the Arctic continental shelf mainly using seismic refraction methods. However, this resulted in only limited understanding of the distribution depth including top-and bottom-bounds, shapes, and thawing patterns of subsea permafrost. Seismic P-wave velocity is the important geophysical parameters to distinguish permafrost with with ice-bearing sediments to normal coarse-grained sediment, and has been widely used to identify the distribution of subsea permafrost. Recently, two-dimensional full waveform inversion {FWI) method based on two-dimensional wave equation has been used to construct a P-wave velocity model from multichannel seismic data. FWI is known to extract quantitative geophysical parameters such as P-wave velocity from observed seismic data using wave propagation modeling and numerical optimization techniques. It can provide an accurate seismic velocity model even in case of extreme situations such as steep dipping layers or variable geophysical properties. In order to estimate the spartial distribution of subsea permafrost, we construct two-dimensional P-wave velocity models for the continental shelf in the Canadian Beaufort Sea using a waveform inversion method applied to seismic data acquired during expedition ARAOSC. The results allow defining the top and bottom of subsea permafrost based on the variation of the obtained P-wave velocity structure. Our resulting P-wave velocity models are in good agreement with the existing distribution map of subsea permafrost from previous seismic refraction-analysis, regional geothermal models and detailed results of well-logging data analysis across the continental shelf of the Canadian Beaufort Sea.
URI
https://repository.kopri.re.kr/handle/201206/12474
Conference Name
The 25th International Symposium on Polar Sciences
Conference Place
KOPRI
Conference Date
2019.05.14~2019.05.15
Type
Proceeding
Indexed
Pro(초록)국외
Appears in Collections  
2019-2020, Investigation of submarine resource environment and seabed methane release in the Arctic (19-20) / Jin, Young Keun (PM19050)
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