Honorable Mentions (Interpretation)
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The SEG recognizes those authors whose papers received an Honorable Mention in the search for Best Paper in Interpretation.
By clicking on the title of the article, you will be taken to a landing page to choose either the SEG Digital Library or GeoScienceWorld to view the abstract or the full article. The abstract is available after choosing a platform, regardless of member status. Clicking on an author's name will open the biography page of that author, if it exists (blue). Names in red indicate biography pages that have not been created in the Wiki.
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Honorable Mention Recipients
2022
- Quantifying the sensitivity of seismic facies classification to seismic attribute selection: An explainable machine-learning study, David Lubo-Robles, Deepak Devegowda, Vikram Jayaram, Heather Bedle, Kurt J. Marfurt, and Matthew J. Pranter
- Exploring factors affecting the performance of deep learning in seismic fault attribute computation, Bo Zhang, Yitao Pu, Zhaohui Xu, Naihao Liu, Shizhen Li, and Fangyu Li
- Generating a labeled data set to train machine learning algorithms for lithologic classification of drill cuttings, Daniela Becerra, Rafael Pires de Lima, Henry Galvis-Portilla, and Christopher R. Clarkson