• 250 Citations
  • 9 h-Index
19972019
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Fingerprint Dive into the research topics where Joongmoo Byun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

seismic data Earth & Environmental Sciences
inversions Physics & Astronomy
carbon sequestration Earth & Environmental Sciences
gas hydrate Earth & Environmental Sciences
well Earth & Environmental Sciences
waveforms Physics & Astronomy
electromagnetism Physics & Astronomy
monitoring Earth & Environmental Sciences

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Research Output 1997 2019

A structure-tensor-constrained cooperative inversion using an extracted physical property distribution

Kim, B., Seol, S. J., Byun, J. & Cho, S., 2019 Feb 6, In : Geophysical Journal International. 217, 2, p. 1334-1352 19 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Tensors
Physical properties
physical property
physical properties
tensors

Automatic labeling strategy in semi-supervised seismic facies classification by integrating well logs and seismic data

Lee, S., Choi, J., Yoon, D. & Byun, J., 2019 Jan 1, p. 2166-2170. 5 p.

Research output: Contribution to conferencePaperResearchpeer-review

learning
marking
seismic data
well
impedance

Elastic full waveform inversion using plane-wave

Kwon, T., Byun, J., Kim, B. Y. & Huh, S., 2019 Nov 1, In : Journal of Applied Geophysics. 170, 103826.

Research output: Contribution to journalArticleResearchpeer-review

waveforms
plane waves
inversions
rays
shot

Integrated inversion of the quantitative seismic interpretation result and electromagnetic data using structure tensor

Kim, B., Byun, J. & Oh, S., 2019 Jan 1, 24th European Meeting of Environmental and Engineering Geophysics. European Association of Geoscientists and Engineers, EAGE, (24th European Meeting of Environmental and Engineering Geophysics).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Tensors
inversion

Location-based parameterization of CSEM data inversion for the monitoring of hydraulic fracturing with magnetically enhanced proppants

Noh, K., Lee, K. H., Oh, S., Seol, S. J. & Byun, J., 2019 Jan 1, p. 924-928. 5 p.

Research output: Contribution to conferencePaperResearchpeer-review

data inversion
fracturing
parameterization
hydraulics
inversions