neuroTEEC provides the mapping of seismic facies by means of an unsupervised Neural Network. This classification technique is based on a patent granted to TEEC. The workflow comes with the assumption that changes in lithology, rock properties and fluid content should affect the seismic traces with respect to amplitude, shap and lateral continuity. This leads to the approach to take advantage of three dimensional seismic pattern where the individual characteristics of these pattern should be detected by the Neural Network Contrary to the generation of dozens of seismic attributes which may be related to the reservoir heterogeneity later on. The Neural Network comes with the spatial distribution of classes representing similar signal characteristics or simply seismic facies classes. These seismic facies classes often represent features of the reservoir hetereogeneity that are otherwise hard to detect or time consuming to interpret.
Features:
Workign with nuroTEEC is a four step approach:
nuroTEEC is not a black box software. The menu driven interface is user friendly and intuitive to learn. Working with neuroTEEC allows an easy handling of training patterns, generation of control plots at each stage of the workflow and analysing the classification results.