Automatic fault detection in seismic data using Gaussian process regression-Reference-Cited by-同舟云学术

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Automatic fault detection in seismic data using Gaussian process regression

Published:2019-04 Issue: Volume:163 Page:117-131
ISSN:0926-9851
Container-title:Journal of Applied Geophysics
language:en
Short-container-title:Journal of Applied Geophysics

Author:

Noori Maryam,Hassani Hossein,Javaherian Abdolrahim,Amindavar Hamidreza,Torabi Siyavash

Funder

Reasearch and Technology Directorate and Improve Oil Research Institute of National Iranian Oil Company

Publisher

Elsevier BV

Subject

Geophysics

Reference42 articles.

1. 3D volumetric multispectral estimates of reflector curvature and rotation;Aldosary;Geophysics,2006

2. A feasibility study on the expected seismic AVA signatures of deep fractured geothermal reservoirs in an intrusive basement;Aleardi;J. Geophys. Eng.,2014

3. 3D seismic coherency for faults and stratigraphic features;Bahorich;Lead. Edge,1995

4. Improving curvature analyses of deformed horizons using scale-dependent filtering technique;Bergbauer;AAPG Bull.,2003

5. Pattern Recognition and Machine Learning;Bishop,2006

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1. Automatic fault tracking from 3D seismic data using the 2D Continuous Wavelet Transform combined with a Convolutional Neural Network;B GEOPHYS OCEANOGR;2024

2. Appraisal of rock dynamic, physical, and mechanical properties and forecasting shear wave velocity using machine learning and statistical methods;Journal of Applied Geophysics;2023-10

3. Fault prediction method based on multi-azimuth coherence attribute;CHINESE J GEOPHYS-CH;2023

4. A pre-seismic anomaly detection approach based on graph attention isomorphism network;Measurement Science and Technology;2023-08-29

5. An Approach to Detect Local Tectonic Dislocations in Coal Seams Based on Roughness Analysis;Archives of Mining Sciences;2023-07-24

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