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ANNPRG 2016 : Artificial Neural Networks and Pattern Recognition in Geosciences | |||||||||
Link: http://www.iconip2016.org/program.html#SpecialSessions | |||||||||
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Call For Papers | |||||||||
Artificial Neural Networks and Pattern Recognition in Geosciences
Organizers: Sid-Ali Ouadfeul (Algerian Petroleum Institute, IAP, Algeria) Leila Aliouane (LABOPHYT, FHC, UMBB, Boumerdes, Algeria) Scope: Artificial Neural Networks (ANNs) have become very useful tools in geosciences. For example, in petrophysics they are used for lithofacies recognition and reservoir characterization from well-logs data. In gravity and magnetism, the ANNs are used for contacts identification and causative sources characterization and in seismology; the ANNs are used for earthquake characterization. In seismic data processing, the artificial neural networks are used for waveform inversion, automated picking of seismic first-arrivals, and automatic Artificial Neural Networks and Pattern Recognition in Geosciences Organizers: Sid-Ali Ouadfeul (Algerian Petroleum Institute, IAP, Algeria) Leila Aliouane (LABOPHYT, FHC, UMBB, Boumerdes, Algeria) Scope: Artificial Neural Networks (ANNs) have become very useful tools in geosciences. For example, in petrophysics they are used for lithofacies recognition and reservoir characterization from well-logs data. In gravity and magnetism, the ANNs are used for contacts identification and causative sources characterization and in seismology; the ANNs are used for earthquake characterization. In seismic data processing, the artificial neural networks are used for waveform inversion, automated picking of seismic first-arrivals, and automatic session will focus on Artificial Neural Networks and Pattern Recognition in the following area and other relevant research: Petrophysics/Well-logs data. Seismic method. Gravity/Magnetic (Potential field) methods. Electromagnetism/Magneto-telluric. Geology/Geophysics. Climatology. Geography Geodesy/Topography. Oceanography. Hydrology/Hydrogeology. Fractal Analysis combined with Neural Network. Wavelet Transform approach combined with Neural Network. New Learning techniques in geosciences. Potential authors should submit a paper describing their work in one of the areas described above. All accepted papers will be published in Lecture Notes in Computer Science (LNCS) and/or special issues of SCI journals. Submission of a paper constitutes a commitment that, if accepted, one or more authors will attend the conference. On-line submission via EasyChair will be made available on this web-site timely. |
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