论文信息 - Geobody interpretation through multiattribute surveys, natural clusters, and machine learning - 字舞流文

Geobody interpretation through multiattribute surveys, natural clusters, and machine learning

Thomas M. Smith

[1] S. Chopra,et al. Thin-bed reflectivity inversion , 2006 .

[2] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .

[3] Kurt J. Marfurt,et al. Seismic Attributes for Prospect Identification and Reservoir Characterization , 2007 .

[4] Sven Treitel,et al. Self-organizing artificial neural nets for automatic anomaly identification , 2010 .

[5] R. Roden,et al. Seismic interpretation below tuning with multiattribute analysis , 2017 .

[6] Distillation of Seismic Attributes to Geologic Significance , 2015 .

[7] Thomas Smith,et al. Geologic pattern recognition from seismic attributes: Principal component analysis and self-organizing maps , 2015 .

[8] Teuvo Kohonen,et al. Self-Organization and Associative Memory , 1988 .

[9] R. E. Sheriff,et al. Application of Amplitude, Frequency, and Other Attributes to Stratigraphic and Hydrocarbon Determination: Section 2. Application of Seismic Reflection Configuration to Stratigraphic Interpretation , 1977 .

[10] Simon Haykin,et al. Neural Networks and Learning Machines , 2010 .

[11] Yunqian Ma,et al. Manifold Learning Theory and Applications , 2011 .