| Multi-attribute machine learning analysis for weak BSR detection in the Pegasus Basin, Offshore New Zealand J Chenin, H Bedle Marine Geophysical Research 41 (21), 2020 | 10 | 2020 |
| Unsupervised machine learning, multi-attribute analysis for identifying low saturation gas reservoirs within the deepwater Gulf of Mexico, and Offshore Australia J Chenin, H Bedle Geosciences 12 (3), 132, 2022 | 6 | 2022 |
| Detailed petroleum system insights using deep learning: A case study from the Scarborough Gas Field, offshore Australia S Salamoff, J Chenin, B Lartigue, N Phan, P Endresen SEG International Exposition and Annual Meeting, D011S097R003, 2022 | 2 | 2022 |
| Seismic geomorphology anomalies within a Pliocene deepwater channel complex in the Taranaki Basin, offshore New Zealand J Chenin, C Silver, H Bedle Interpretation 9 (1), C1-C10, 2021 | 2 | 2021 |
| Examining Seismic Amplitude Responses of Gaseous Media Using Unsupervised Machine Learning J Chenin | 2 | 2020 |
| Integrating deep learning insights for complex geological features: A case study from the Santos Basin, offshore Brazil J Chenin, S Salamoff, A Krueger, B Lartigue, N Phan SEG International Exposition and Annual Meeting, D011S064R004, 2021 | 1 | 2021 |
| From High Frequency RTM to AI/ML Aided Salt Interpretation-harness the Power of the Cloud K Jiao, W Han, J Chenin, C Lagrange, M Isernia, S Tadepalli EAGE Seventh High Performance Computing Workshop 2023 (1), 1-5, 2023 | | 2023 |
| Data-Centric, Interactive Deep Learning for Complex Geological Features: a Groningen Case Study S Salamoff, J Chenin, B Lartigue, P Endresen Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-5, 2023 | | 2023 |
| Application of Self Organizing Maps in Detecting Methane Hydrates and Weak BSRs in the Pegasus Basin, New Zealand H Bedle, J Chenin AGU Fall Meeting Abstracts 2019, S54A-04, 2019 | | 2019 |
| Fault Development in the Madison Valley: Implications for Fault System Behavior and Passage of the Yellowstone Hotspot JB Chenin, JM Cannon | | 2017 |
| INTERACTIVE DEEP LEARNING FOR COMPLEX GEOLOGICAL FEATURES INTEGRATING BLUWARE INTERACTIVAI DEEP LEARNING FOR COMPLEX GEOLOGICAL FEATURES: A CASE STUDY FROM THE SANTOS BASIN … J Chenin, S Salamoff, A Krueger, B Lartigue, N Phan | | |
| Bluware InteractivAI Deep Learning for Complex Geological Features J Chenin, S Salamoff, A Krueger, B Lartigue, N Phan | | |
| Machine Learning Multi-Attribute Analysis for Gas Hydrate Identification H Bedle, J Chenin 2019 AAPG Annual Convention and Exhibition:, 0 | | |
Heather BedleUniversity of OklahomaVerified email at ou.edu
Heather BedleUniversity of OklahomaVerified email at ou.edu