2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
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Abstract

In general, predicting hydrocarbon uses seismic data which can be displayed by extracting different seismic physical parameters. Study on the temporal and spatial relationship of the seismic data volume by gray model represents that the seismic data structure and hydrocarbon are closely related. Through research of the study on space-time relation of seismic amplitude, Experts can identify hydrocarbon layers more accurately on seismic maps to identify hydrocarbon reservoir boundary. Research method of hydrocarbon characteristics of seismic waveform structure based on gray model: by using Gray topological method for calculating mathematics, maps each seismic data in the seismic data to a data path which similar to the logging curve to establish a theoretical model through the gray model. Using actual seismic data to calculate the amplitude structure Characteristic anomaly value segments of the seismic data, to conduct Vector Correlation Analysis. Further, the location and plane distribution of oil-gas horizon profile are predicted.
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