SEISMIC PATTERN RECOGNITION USING ATTRIBUTED RELATIONAL GRAPHS

摘要

Seismic pattern recognition using an attributed relational graph matching-based fingerprint classification and identification method for identifying features of possible hydrocarbons significance in a seismic data volume (10). The seismic data are reduced to line representations (11), which are represented in a graph structure (12), having edges and vertices. Various attributes such as polarity are associated (14) with the edges and vertices, thereby creating an attributed relational graph, which is then searched for matches (16) with a selected pattern (15) considered to have hydrocarbon significance (18).