Dr. Bedle is currently involved with a variety of seismic interpretation research, including the use of seismic attributes and machine learning to improve our understanding of subsurface environments, with her colleagues and students.
Gas Hydrate Identification:
- Machine learning applied to ‘invisible’ BSRs (AAPG 2019) with MS student Julian Chenin
- Seismic Attribute Analysis of Gas Hydrates (SEG 2018)
Seismic Interpretation Research, including Attributes, and Geomorphology:
- Seismic geomorphology of deep-water channel systems in the southern Taranaki Basin. C. Silver, K. La Marca, H. Bedle. SEG Technical Program Extended Abstracts, 2019.
- Seismic facies identification in a deepwater channel complex applying seismic attributes and unsupervised machine learning techniques. A case study in the Taranaki Basin, New Zealand. K. La Marca, C. Silver, H. Bedle, R. Slatt. SEG Technical Program Extended Abstracts, 2019.
- Seismic Attribute Identification through Waveform Analysis of Gas Hydrates in the Pegasus Basin, offshore New Zealand. R. Clairmont, H. Bedle, SEG Technical Program Extended Abstracts, 2019.
- Multi-attribute analysis of channel morphologies in the Taranaki Basin (with Phinphorn Amonpantang at the University of Houston), Interpretations, 2019.
- Attribute Analysis and Morphologic Evaluation of an Incised Valley System in the Santos Basin, Brazil. ( with former student Jeff Tilton from the University of Houston, AAPG 2019)
Seismic tomography of the upper mantle:
- Mantle structure beneath the Tethyan margin
- S-wave Structure of the North American Upper Mantle
- Seismic tomography of the Illinois Basin
- Fossil flat-slab subduction beneath the Illinois Basin (Bedle and Van der Lee, 2006)