Videos & Demos:
AASPI plans & introductions - Heather Bedle
Unet for Fault prediction, AASPI Vizualization Demo - David Lubo
Horizon Picking in AASPI - Bo Zhang
Time-Depth Conversion and Extracting Training data around wells - Kurt Marfurt
DQ Step 1 - Creating the Stick-o-gram - Noor Choudhry
DQ Step 2 - Creating the Isochron and Half Isochron - Noor Choudhry
DQ Step 3 - Calculating DQ-theta px, DQ Sum, and DQ Average Sum - Noor Choudhry
PDF Summaries:
Welcome & Overview (pdf) - Heather Bedle
Distance Quadrant in AASPI (pdf) - Noor Choudhry
Attribute Blending (pdf) - Noor Choudhry
Segment Anything Model (pdf) - Aniq Ahmad
GMM and unsupervised SHAP for xAI (pdf) - Hilmi Putra
Generating Training Data from Wells (pdf) - Kurt Marfurt
POSTERS:
Locating Volcanic Facies To Find Critical Minerals (pdf) - Danial Mansourian
Supervised Machine Learning for Discriminating Hard-Sand and Zero-Crossing Hydrocarbon-Bearing Reservoir in Southeastern Brazil (pdf) - Alex Medeiros
Interactive Seismic Facies Segmentation Using Multi-Attribute Seismic Data (pdf) - Aniq Ahmad
Damage Zone Characterization Using Rejected Noise Computed Via Structure Oriented Filtering (pdf) - Jared Brown
Making Sense of Seismic Attributes: Attribute-Type Framework for Machine Learning Characterization (pdf) - Hilmi Putra
High-Resolution Lithofacies Prediction Using CWT-Enhanced Seismic Attributes and Gradient Boosting (pdf) - Noor Choudhry
High-Resolution Lithofacies Prediction Using CWT-Enhanced Seismic Attributes and Gradient Boosting: (pdf) - Ruhi Sahin
A Transferable Seismic-Attribute Workflow to Detect Subtle Faults in CO₂ Storage Settings (pdf) - Valentina Tellez
January 28-29, 2027
Univeristy of Oklahoma campus
Welcome & Overview (pdf) - Heather Bedle
Transfer learning from seismic data for predicting reservoir productivity for upstream optimization (pdf) -Marcus Maas
Global PCA demo - David Lubo
The Distance & Quadrant Attribute (video) - Noor Choudhry
Comprehensive dimension reduction method analyses for channel delineation (video) - April Moreno-Ward
Seismic post-stack impedance inversion using geophysics-informed deep learning neural network (pdf) - Bo Zhang
New Colormaps in AASPI (pdf)- Heather Bedle
Comparison of Structure Oriented Filtering Noise vs. Damage Zone Width (video) - Jared Brown
Strategies to correlate production data to seismic attribute volumes (pdf) - Kurt Marfurt
Post Migration Data Conditioning (pdf) - Kurt Marfurt
Improving the low frequency content of your seismic (pdf) - Kurt Marfurt
Machine learning based seismic facies analysis for deep water sediments charaterization (video) - Tural Feyzullayev
Unsupervised Machine Learning approach for Revealing Subsurface Tectono-depositional Environments (video) - Priyadarshi Chinmoy Kumar
AASPI Overview (video) - Heather Bedle
Seismic sequence attribute (video) - Bo Zhang
Structure-oriented filtering to retain low frequency information needed for impedance inversion (video) - Kurt Marfurt
AASPI enhancements for Friday (video) -David Lubo-Robles
Spectral Balancing of seismic data and its applications (video) - Satinder Chopra
Seismic impedance inversion: physics drive Vs. data driven (video) - Yitao Pu
Post migration seismic data conditioning (video) - Pamela Blanco
Curvature and aberrancy attribute applications in complex fault settings (video) -Shuvajit Bhattacharya
Application of AASPI attributes on 4D data for HC depletion (video) - Evan Jowers
Employing AASPI attributes to understand channel evolution on HR3D seismic in GoM (video) - Jacob Maag
AASPI SoF on pre-stack data and the AASPI calculator to show the before filter and after (video) - Alex Vera
Detection of sub seismic faults using attributes: An application for carbon capture and storage (video) - David Lubo-Robles
Seismic fault surface extraction (video) - Bo Zhang
Time-time transform applications (video) - Marcilio Matos
New AASPI well log capabilities & 3D Visualization (video) -David Lubo Robles
SHAP demo & explanation (video) - David Lubo Robles
An integrated workflow of improving the accuracy of first arrivals picking via deep learning (video) - Yitao Pu
SOM analysis of reservoir rock from amplitude based attributes (video) - Alex Vera
Carbonate sweetspot reservoir seismic identification using unsupervised clustering (video) - Marcus Maas
Adding more flexibility to fault "labeling" in 3D CNN Fault prediction workflow (video) - Thang Ha
Quantitative assessment of unsupervised Machine learning methods (video) - Karelia La Marca
Midland Sands channel systems: Seismic attributes learnings from legacy vs. HTD* seismic surveys (video) - Laura Ortiz
Employing CMP Spectral attributes and SHAP to assess fluid type (video) - Mario Ballinas
Statistical attributes and application to gas hydrates (video) - Emily Jackson
AASPI & GPR applications (video) - Bobby Buist
Seismic phase components from time-frequency analysis (video) - Marcilio Matos
Vector plot functionality (video) - Thang Ha
Overview of new enhancements and capabilities (video) - Davi Lubo Robles
Multi-seismic attributes and petrophysical studies for a low-temperature geothermal field in the Netherlands (video) - Shujavit Bhattacharya & Sumit Verma
A comprehensive comparison of generating seismic fault attribute using deep learning (video) - Bo Zhang
Shale resources fracability prediction (video) - Bo Zhang
Unsupervised ML applied to seismic characterization and deepwater elements characterization in Ceará Basin, Brazil (video) - Karen Leopoldino
Study on the parameterization response of the probabilistic neural networks for seismic facies classification (video) - Diana Salazar
Generative adversarial network for facies and reservoir classification (video) - Alex Vera
Recent Gas Hydrate Studies at OU: An Overview and Proposed Future Work (video) - Emily Jackson
Using AASPI’s CNN Image Classifier with microCT scanned microfossils (video) - Bobby Buist
Semi-supervised well log correlation (video) - Saurabh Sinha
Convolutional Neural Networks and Transfer Learning Applications in Geosciences (video) - Rafael Pires de Lima
