Fuzzy rule-based expert system for short-range seismic prediction

Authors:
Christian D. Klose
Affiliations:
GeoForschungsZentrum Postdam, Geomechanics and Geotechnology, Telegrafenberg, 14473 Potsdam, Germany
Venue:
Computers & Geosciences
Year:
2002

Citing 1
Cited 4

Use of fuzzy logic in a rule-based system in petroleum geology

Approximate reasoning in intelligent systems, decision and control

Prediction of backbreak in open-pit blasting using fuzzy set theory

Expert Systems with Applications: An International Journal
An expert decision support system for monitoring and diagnosis of petroleum production and separation processes

Expert Systems with Applications: An International Journal
Probabilistic prediction of tunnel geology using a Hybrid Neural-HMM

Engineering Applications of Artificial Intelligence
Evaluating the quality of airport service using the fuzzy multi-criteria decision-making method: a case study of Taiwanese airports

Expert Systems: The Journal of Knowledge Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

In Switzerland, the 57 km long Gotthard base tunnel is being built as part of the AlpTransit project with a maximum overburden of 2000 m. Because of the difficult geological situation, an exploratory tunnel was set up to explore the Piora-Mulde, a possibly unstable carbonate rock zone in south Central Switzerland. A geophysical forecast system called tunnel seismic prediction has been designed by Amberg Measuring Technique Ltd. to explore the geology during the tunnelling process. But several difficulties occurred in interpretation of the seismic data in terms of geological forecasts. This paper describes a simple approach to geological interpretation of seismic diffraction stack images by using fuzzy logic. A fuzzy rule-based expert system was developed to classify lithologic and tectonic rock units by interpreting those seismic images.