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.
Machine Learning applications in Seismic Reflection Interpretation:
- 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)