Title :
A Fuzzy Multi-Criteria Decision Approach for Enhanced Auto-Tracking of Seismic Events
Author :
Benbernou, Reda ; Warwick, Kevin
Author_Institution :
Dept. of Cybern., Univ. of Reading, Reading, UK
Abstract :
The main activity carried out by the geophysicist when interpreting seismic data, in terms of both importance and time spent is tracking (or picking) seismic events. In practice, this activity turns out to be rather challenging, particularly when the targeted event is interrupted by discontinuities such as geological faults or exhibits lateral changes in seismic character. In recent years, several automated schemes, known as auto-trackers, have been developed to assist the interpreter in this tedious and time-consuming task. The automatic tracking tool available in modern interpretation software packages often employs artificial neural networks (ANNs) to identify seismic picks belonging to target events through a pattern recognition process. The ability of ANNs to track horizons across discontinuities largely depends on how reliably data patterns characterise these horizons. While seismic attributes are commonly used to characterise amplitude peaks forming a seismic horizon, some researchers in the field claim that inherent seismic information is lost in the attribute extraction process and advocate instead the use of raw data (amplitude samples). This paper investigates the performance of ANNs using either characterisation methods, and demonstrates how the complementarity of both seismic attributes and raw data can be exploited in conjunction with other geological information in a fuzzy inference system (FIS) to achieve an enhanced auto-tracking performance.
Keywords :
decision making; feature extraction; fuzzy reasoning; fuzzy systems; geophysics computing; neural nets; pattern classification; seismology; software packages; tracking; ANN; artificial neural network; attribute extraction process; enhanced seismic event auto-tracking; fuzzy inference system; fuzzy multicriteria decision approach; geological information; interpretation software package; pattern classification; pattern recognition; Artificial neural networks; Data mining; Fuzzy systems; Geology; Geophysical signal processing; Modems; Pattern analysis; Pattern recognition; Software packages; Target tracking; Seismic horizon; auto-tracker; fuzzy inference; neural networks; pattern recognition;
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
DOI :
10.1109/ICSPC.2007.4728573