Array Computing Based Implementation of Water Reinjection in Geothermal Structure

Abstract

A method is given here to model the processes of filtration and heat transfer in a three-dimensional geothermal medium. The main goal of the analysis was to find and prove the correlation between pressure and temperature in a geothermal structure. The Cellular Neural/Nonlinear Networks paradigm is a natural framework that describes the behavior of locally interconnected dynamical systems that have an array structure. Emulated digital implementation of the CNN-Universal Machine can use space variant templates (weighted interconnections) and multi-layered structures on different array processing architectures. It is desired to find the optimal computational architecture which satisfies the functional requirements, using the minimal precision and nevertheless achieving maximum computing power. To meet these requirements, it is desired to process the spatial-regions with the highest possible parallelism.