Recorded Presentations

Recorded in 2022
Title Recorded for
Common pitfalls and limitations in seismic attribute analysis
Kurt J. Marfurt
AAPG Distinguished Lecture 2021-2022
Seismic phase components from time-frequency analysis
Dr. Marcilio Matos
2021 AASPI Annual Review Meeting
Vector plot functionality
Dr. Thang Ha, OU post-doc
2021 AASPI Annual Review Meeting
Overview of new enhancements and capabilities
David Lubo-Robles, OU PhD
2021 AASPI Annual Review Meeting
Multi-seismic attributes and petrophysical studies for a low-temperature geothermal field in the Netherlands
Dr. Shuvajit Bhattacharya and Dr. Sumit Verma
2021 AASPI Annual Review Meeting
A comprehensive comparison of generating seismic fault attribute using deep learning
Dr. Bo Zhang
2021 AASPI Annual Review Meeting
Shale resources fracability prediction
Dr. Bo Zhang
2021 AASPI Annual Review Meeting
Unsupervised ML applied to seismic characterization and deepwater elements characterization in Ceará Basin, Brazil
Dr. Karen Leopoldino Oliveria and Heather Bedle
2021 AASPI Annual Review Meeting
Study on the parameterization response of the probabilistic neural networks for seismic facies classification
Diana Salazar Florez and Heather Bedle
2021 AASPI Annual Review Meeting
Generative adversarial network for facies and reservoir classification
Alex Vera-Arroyo, OU PhD
2021 AASPI Annual Review Meeting
Recent Gas Hydrate Studies at OU: An Overview and Proposed Future Work
Emily Jackson (OU PhD)
2021 AASPI Annual Review Meeting
Using AASPI’s CNN Image Classifier with microCT scanned microfossils
Bobby Buist, Heather Bedle, and Ashley Burkett
2021 AASPI Annual Review Meeting
Semi-supervised well log correlation
Dr. Saurabh Sinha (OU graduate)
2021 AASPI Annual Review Meeting
Convolutional Neural Networks and Transfer Learning Applications in Geosciences
Dr. Rafael Pires de Lima
2021 AASPI Annual Review Meeting
A new workflow for multi-well lithofacies interpretation integrating joint petrophysical inversion, unsupervised and supervised machine learning
Sumit Verma, Shuvajit Bhattacharya, Nur Uddin Md Khaled Chowdhury, and Miao Tian
SEG/AAPG IMAGE Conference
Recorded in 2021
Title Recorded for
Unsupervised machine learning for interpreting shelf-to-basin seismic geomorphology and paleoclimate
Sumit Verma and Shuvajit Bhattacharya
EAGE Conference on Seismic Interpretation using AI Methods
Machine learning for fault identification - So many methods! So many faults!
Heather Bedle, Christ Ramos, Edimar Perico, and Jose Pedro Mora
EAGE Conference on Seismic Interpretation using AI Methods
Using synthetic seismic data to quantify uncertainty in machine learning
Karelia La Marca, Heather Bedle, Kurt Marfurt, Laura Ortiz, Lisa Stright, and Rafael Pires de Lima
EAGE Conference on Seismic Interpretation using AI Methods
Sensitivity analysis of seismic attribute parameterization for interpretation of a multi-story deepwater channel system: Tres Pasos Formation, Magallanes Basin, Chile
Karelia La Marca, Heather Bedle, Kurt Marfurt, Lisa Stright, and Teresa Langenkamp
International Meeting for Applied Geoscience and Energy
From fault picks to fault probabilities to fault surfaces - Snapping and the snake algorithm
Jose Pedro Mora, Heather Bedle, and Kurt Marfurt
International Meeting for Applied Geoscience and Energy
Seismic illumination of small-offset seimogenic faults - Anadarko Basin, Olkahoma
Swetal Patel, Folarin Kolawole, Jacob Walter, Xiaowei Chen, and Kurt J. Marfurt
AASPI Webinar
Spatial delineation of rock types in the Meramec formation by integrating core and seismic measurements - STACK play, Anadarko Basin
Swetal Patel, Ishank Gupta, Jing Fu, Ali Tinni, Kurt J. Marfurt, Carl Sondergeld, and Chandra Rai
AASPI Webinar
Using micro CT-scanned fossils to create robust training datasets for fossil classification using a CNN (convolutional neural network) model
Carl Buist, Heather Bedle, and Ashley Burkett
AASPI Webinar
Recorded in 2020
Title Recorded for
Seismic attributes - A promising aid for hydrocarbont prediction in deepwater of the Ceará Basin, Brazilian Equatorial Margin
Karen M. Leopoldino Oliveira, Karelia la Marca-Molina, and Heather Bedle
AAPG Annual Convention and Explosition
Low saturation gas reservoir discrimination using Self-Organizing Maps (SOM), Deep Water Gulf of Mexico
Julian Chenin and Heather Bedle
AAPG Annual Convention and Explosition
Sequence stratigraphy and application of SOM for identification of architectural elemets - A case study of the Cenozoic deep-water strata in the Northern Carnarvon Basin, Australia
Laura Oritz Sanguino, Javier Tellez, and Heather Bedle
AAPG Annual Convention and Explosition
Regional characterization of the Woodford Shale organic matter content and thermal maturity across the state of Oklahoma, USA
Emilio Torres, Roger Slatt, Paul Philp, and D. M. Jarvie
AAPG Annual Convention and Exposition
Seismic attribute optimization for deepwater facies in self-organized mapping (SOM) analysis
Karelia La Marca Molino and Heather Bedle
AAPG Annual Convention and Explosition
Machine learning techniques to assist natural fracture systems using coda wave interferometry
Alexandro Vera-Arroyo and Heather Bedle
AGU Annual Meeting
Subseismic reef characterization using machine learning and multiattribute analysis
Carl Buist, Heather Bedle, and Matthew Rine/td>
AGU Annual Meeting
Woodford Shale enclosed minibasin fill on the Hunton paloe shelf - A depositional model for unconventional resource plays
Emilio Torres
Oklahoma Geologic Survey Workshop on Woodford Shale
Seismic interpretation of structural features in the Kokako 3D seismic area, Taranaki Basin, New Zealand
Edimar Perico and Heather Bedle
SEG Annual Meeting
Application of seismic attributes and machine learning for imaging submarine slide blocks on the North Slope, Alaska
Shuvajit Bhattacharya, Miao Tan, Jon Rotzien, and Sumit Verma
SEG Annual Meeting
Multispectral aberrancy
Bin Lyu, Jie Qi, Fangyu Li, and Kurt J. Marfurt
SEG Annual Meeting
Constructing fault surface objects from fault sensitive attributes
Jose Pedro Mora, Heather Bedle, and Kurt J. Marfurt
SEG Annual Meeting
Machine learning techniques applied to angle stacks for seismic facies classification
Clayton Silver, Heather Bedle, and Matthew Rine
SEG Annual Meeting
Application of unsupervised machine learning techniques in sequence stratigraphy and seismic geomorphology: A case study in the Cenozoic deep-water deposits in the Northern Carnarvon Basin, Australia
Laura Oritz Sanguino, Javier Tellez, and Heather Bedle
SEG Annual Meeting
Automatic horizon picking using a jigsaw puzzle strategy
Bo Zhang and Yihuai Lou
SEG Annual Meeting
Automatic seismic fault surface construction using seismic discontinuity attributes
Bo Zhang and Yihuai Lou
SEG Annual Meeting
Machine learning model interpretatability using SHapley Additive exPlanations (SHAP) values: Application to a seismic facies classification task
David Lubo-Robles, Deepak Devegowda, Vikram Jayaram, Heather Bedle, Kurt J. Marfurt, and Matthew J. Pranter
SEG Annual Meeting
Machine learning model interpretatability using SHapley Additive exPlanations (SHAP) values: Application to a seismic facies classification task
David Lubo-Robles, Deepak Devegowda, Vikram Jayaram, Heather Bedle, Kurt J. Marfurt, and Matthew J. Pranter
SEG Annual Meeting
Comparing convolutional neural network and image processing seismic fault detection methods
Bin Lyu, Jie Qi, Xinming Wu, and Kurt Marfurt
SEG Annual Meeting
Seismic attenuation measurement by sparse-pulse decomposition of seismic images
Yichuan Wang, Kurt Marfurt, Igor Morozov, and Heather Bedle
SEG Annual Meeting
Seismic attribute optimization for deepwater facies in self-organized maps (SOM) analysis
Karelia La Marca-Molina and Heather Bedle
SEG Annual Meeting