AASPI Attribute-Assisted Seismic Processing & Interpretation

A Research Consortium conducted at U Oklahoma, U Alabama, U Texas Permian Basin and SISMO

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Software Demos

Multispectral Coherence
Application Authors
Application of AASPI multispectral coherence for faults and channels
Jose Pedro Mora
The AASPI Machine Learning Toolbox
Application Authors
AASPI unsupervised learning - Overview of a 5-step workflow
Thang Ha
AASPI unsupervised learning step 1 - Generate the training data
Thang Ha
AASPI unsupervised learning step 2 - Analyze the input data
Thang Ha
AASPI unsupervised learning step 3 - Create the model
Thang Ha
AASPI unsupervised learning step 4 - Perform the classification
Thang Ha
AASPI unsupervised learning step 5 - Display the results
Thang Ha

School of Geosciences | Mewbourne College of Earth & Energy | The University of Oklahoma
Department of Geological Sciences | College of Arts and Sciences | The University of Alabama
Department of Geosciences | College of Arts and Sciences | The University of Texas Permian Basin
SISMO

Date of last revision: 26 October 2020
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