AASPI Attribute-Assisted Seismic Processing & Interpretation

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

AASPI Hands-on Short Course Notes
From interactive interpretation to machine learning
(Software licenses provided to AASPI sponsors and participants in AASPI-led short courses)

Thang and David Teaching
Part 1a. Software installation and seismic data loading
Part 1b. Computing geometric and spectral attributes
Part 2. Interactive multiattribute analysis using visualization
Part 3a. Seismic amplitude data conditioning
Part 3b. Attribute image enhancement
Part 4. Volumentric mulitattribute dimensionality reduction and projection techniques
Part 5a. Unsupervised classificatin using kmeans and GMM
Part 5b. Unsupervised classificatin using SOM and GTM
Part 5c. Attribute selection and Unsupervised classificatin using PNN
Part 6. CNN fault prediction

Data used in Courses

NZP&M Great South Basin zipped SEGY Subvolume
NZP&M Kora3d Taranaki zipped Basin SEGY Subvolume

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 | SISMO

Date of last revision: 08 August 2023
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