S. Purves

发表

Automated delineation of geological elements from 3D seismic data through analysis of multichannel, volumetric spectral decomposition data

J. Henderson, S. Purves, C. Leppard, 2007 .

Is Machine Learning taking productivity in petroleum geoscience on a Moore’s Law trajectory?

D. Economou, B. Alaei, S. Purves, 2018, First Break.

Deep Bayesian Neural Networks for Fault Identification and Uncertainty Quantification

S. Purves, E. Naeini, L. Mosser, 2020, First EAGE Digitalization Conference and Exhibition.

Near-Gabor filter banks for feature detection and curvature estimation

Satnam Singh Dlay, Stephen J. Purves, S. Dlay, 2000, Electronic Imaging.

Perception of visual information: the role of colour in seismic interpretation

J. Henderson, S. Purves, J. Lowell, 2013 .

Seismic imaging of thrust faults and structural damage: a visualization workflow for deepwater thrust belts

R. Butler, S. Purves, D. Iacopini, 2012 .

Exploring the seismic expression of fault zones in 3D seismic volumes

R. Butler, S. Purves, D. Iacopini, 2016 .

Investigating fault-sealing potential through fault relative seismic volume analysis

H. Basford, S. Purves, J. Dutzer, 2010 .

Phase and the Hilbert transform

Steve Purves, S. Purves, 2014 .

Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks pdf

Lukas Mosser, Wouter Kimman, Jesper Dramsch, 2018, 80th EAGE Conference and Exhibition 2018.