Pattern recognition and lithological interpretation of collocated seismic and magnetotelluric models using self-organizing maps

Geophysical Journal International

Volumn 189, Issue 2, 2012, Pages 984-998

  Bauer, K ^a   Munoz G ^a   Moeck, I ^a  

^a GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

Author keywords

Magnetotelluric; Neural networks, fuzzy logic; Sedimentary basin processes; Seismic tomography

Indexed keywords

CENOZOIC; CHARACTERISTIC PROPERTIES; DATA VECTORS; ELECTRICAL RESISTIVITY; EVAPORITES; GEOTHERMAL SITES; IMAGE PROCESSING TECHNIQUE; JOINT INTERPRETATION; JURASSIC; LOW RESISTIVITY; MAGNETOTELLURIC; MESOZOIC; P-VELOCITY; PALAEOZOIC; REFLECTION SEISMIC; RESISTIVITY MODELS; SALT MATRICES; SEDIMENTARY BASIN; SEISMIC TOMOGRAPHY; UPPER PERMIAN;

CONFORMAL MAPPING; ELECTRIC CONDUCTIVITY; FUZZY LOGIC; IMAGE SEGMENTATION; LITHOLOGY; MAGNETOTELLURICS; PATTERN RECOGNITION; SEISMOGRAPHS; VELOCITY;

SEISMOLOGY;

ARTIFICIAL NEURAL NETWORK; DATA INTERPRETATION; DATA INVERSION; FUZZY MATHEMATICS; GEOLOGICAL MAPPING; IMAGE PROCESSING; LITHOLOGY; MAGNETOTELLURIC METHOD; NUMERICAL MODEL; PATTERN RECOGNITION; SEDIMENTARY BASIN; SEISMIC TOMOGRAPHY;

NORTH GERMAN BASIN; NORTHEAST GERMAN BASIN;

EID: 84859727162     PISSN: 0956540X     EISSN: 1365246X     Source Type: Journal    
DOI: 10.1111/j.1365-246X.2012.05402.x     Document Type: Article

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