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Heather Bedle

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Assistant Professor

Oklahoma State University

United States

Research Interests

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About

Heather Bedle is an Assistant Professor at the University of Oklahoma, USA. Her research focuses on seismic interpretation, machine learning applications in geology, and the visualization of seismic data. Recent publications include topics such as the integration of earthquake data with unsupervised machine-learning methods, and techniques for improved seismic attribute visualization. Additionally, she explores climate attitudes in relation to natural disasters and environmental concerns.

Recent Grants

Grant: Close

Travel Proposal: Funding to support early career scientist participation in the July 2022 Geophysics of Convergent Margins

Open Date: 2022-07-01

Close Date: 2023-06-30

Grant: Close

Geophysical Imaging of a Buried Paleovalley in Support of ICDP Deep Dust Project

Open Date: 2022-01-15

Close Date: 2023-12-31

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Collaborators (2)

Lisa Stright

Assistant Professor

Colorado State University

UNITED STATES

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John Castagna

Professor

University of Houston

UNITED STATES

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Heather Bedle

Research Interests

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About

Recent Grants

Articles (23)

Revealing the hidden faults of the Oklahoma basement through unsupervised machine-learning methods and the integration of earthquake data

Improving interpretability: The role of dimension reduction in multiattribute seismic facies identification

Prediction of reservoir properties using the distance and quadrant trace attribute and rotated distance and quadrant inversion workflow

Techniques for improved visualization and interpretation of seismic attributes using scientific colormaps

Postmigration seismic data conditioning workflow on a merged data set

Prediction of reservoir properties using the RDQ crossplot workflow

Revealing channelized features through multiscale workflows in a mixed carbonate siliciclastic setting, Grayburg and San Andres formations, Midland Basin, TX

Distance and quadrant trace method for quantitative seismic interpretation: Theory and application to a synthetic amplitude variation with offset data catalog

Insights into the geomorphology of the Ceará Basin, Brazil, by combining seismic attributes, machine learning, and rock-physics analyses

Multi-attribute geomorphological characterization of the Cenozoic deep-water strata in the Exmouth Plateau, Northern Carnarvon Basin: a contribution to the understanding of deep-water mixed carbonate–siliciclastic environments

Unraveling the hidden relationships between seismic multiattributes, well-dynamic data, and Brazilian pre-salt carbonate reservoirs productivity: A shallow versus deep machine-learning approach

Characterization of seismic-scale petrofacies variability in the Arbuckle Group using supervised machine learning: Wellington Field, Kansas

Uncertainty assessment in unsupervised machine-learning methods for deepwater channel seismic facies using outcrop-derived 3D models and synthetic seismic data

How natural disasters and environmental fears shape American climate attitudes across political orientation

Seismic aberrancy unraveling basement flexures: A study from northeast India

Clustering energy support beliefs to reveal unique sub-populations using self-organizing maps

Fault characterization in a postsalt reservoir interval, Jubarte Field (Campos Basin), using seismic attributes and machine learning

Water contact mapping and saturation estimation using simultaneous inversion of time-lapse seismic data constrained by fluid substitution and Leverett J-function analysis

Contrasting faulting styles of salt domes and volcanoes: Can unsupervised learning techniques differentiate fault styles?

When the levee breaks: Visualization of a deepwater crevasse splay in Late Cretaceous in Exmouth Basin Offshore Western Australia

Multiattribute analysis of channel architectural elements within the deepwater Taranaki Basin, 3D Romney data

Modeling of subsurface sedimentary facies using Self-Attention Generative Adversarial Networks (SAGANs)

Fault enhancement using probabilistic neural networks and Laplacian of a Gaussian filter: A case study in the Great South Basin, New Zealand

Collaborators (2)

Lisa Stright

John Castagna

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