Predicting the spatial distribution of soil profile in Adapazari/Turkey by artificial neural networks using CPT data

2012 ◽  
Vol 43 ◽  
pp. 90-100 ◽  
Author(s):  
Ersin Arel
Keyword(s):  
Neural Networks ◽  
Spatial Distribution ◽  
Artificial Neural Networks ◽  
Soil Profile ◽  
Artificial Neural

scholarly journals LITHOLOGICAL INTERPRETATION ACCORDING TO WELL-LOGGING DATA FOR THE BAZHENOV FORMATION WITH USAGE OF ARTIFICIAL NEURAL NETWORKS

2021 ◽  
Vol 2 (3) ◽  
pp. 3-9
Author(s):  
Elena U. Temnikova ◽  
Serafim I. Grubas ◽  
Arsenii A. Fedoseev
Keyword(s):  
Neural Networks ◽  
Spatial Distribution ◽  
Artificial Neural Networks ◽  
Well Logging ◽  
Data Models ◽  
Relative Content ◽  
Material Composition ◽  
Bazhenov Formation ◽  
Modern Classification ◽  
Artificial Neural

Using artificial neural networks for lithological interpretation according to well logging data, models of the relative content of rock-forming components of the Bazhenov Formation were constructed and its main types of rocks were identified in accordance with a modern classification. Results of lithological interpretation were used for building correlation schemes, which made it possible to trace the spatial distribution of the material composition and main types of rocks of the Bazhenov Formation for the Salym field.

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