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ANNPRG 2016 : Artificial Neural Networks and Pattern Recognition in Geosciences

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Link: http://www.iconip2016.org/program.html#SpecialSessions
 
When Oct 16, 2016 - Oct 21, 2016
Where Kyoto, Japan
Submission Deadline Apr 24, 2016
 

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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