Semi‐auto horizon tracking guided by strata histograms generated with transdimensional Markov‐chain Monte Carlo-Reference-Cited by-同舟云学术

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Semi‐auto horizon tracking guided by strata histograms generated with transdimensional Markov‐chain Monte Carlo

Published:2020-03-30 Issue:5 Volume:68 Page:1456-1475
ISSN:0016-8025
Container-title:Geophysical Prospecting
language:en
Short-container-title:Geophysical Prospecting

Author:

Cho Yongchae¹²^ORCID,Jeong Daein³,Jun Hyunggu⁴^ORCID

Affiliation:

1. Department of Geology & GeophysicsTexas A&M UniversityCollege Station Texas TX 77845 USA

2. Presently at Shell International Exploration & Production Inc.150 N Dairy Ashford Rd Houston TX 77079 USA

3. Schlumberger Integrated SolutionsNihonbashi 3‐chomeChuo‐ku Tokyo 103‐8233 Japan

4. Marine Active Fault Research CenterKorea Institute of Ocean Science & Technology Busan 49111 Republic of Korea

Funder

Korea Institute of Ocean Science and Technology

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.12933

Reference33 articles.

1. AlbertsP. WarnerM.andListerD.2000.Artificial neural networks for simultaneous multi horizon tracking across discontinuities. SEG Technical Program Expanded Abstracts 651–653.

2. Weighted average seismic attributes

3. Seismic tomography with the reversible jump algorithm

4. Transdimensional inversion of receiver functions and surface wave dispersion;Bodin T.;Journal of Geophysical Research: Solid Earth,2012

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1. U-Net++ Based Subshallow Gas-Scattered Image Conditioning: Small-Scale Case Study of Seismic Data Acquired in the Korean East Sea;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Facies‐constrained transdimensional amplitude versus angle inversion using machine learning assisted priors;Geophysical Prospecting;2023-03-20

3. Machine-learning-based porosity estimation from multifrequency poststack seismic data;GEOPHYSICS;2022-08-05

4. Introduction to Subsurface Inversion Using Reversible Jump Markov-chain Monte Carlo;GEOPHYS GEOPHYS EXPL;2022

5. Repeatability enhancement of time-lapse seismic data via a convolutional autoencoder;Geophysical Journal International;2021-10-01

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