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 |