Title :
FPGA Based Implementation of Water Reinjection in Geothermal Structure
Author :
Kocsárdi, S. ; Nagy, Z. ; Kostianev, S. ; Szolgay, P.
Author_Institution :
Dept. of Image Process. & Neurocomputing, Pannonia Univ., Veszprem
Abstract :
In the area of geophysical and mining engineering the solution of partial differential equations (PDE) has been one of the most important problems of mathematics for a long time. Inside that one of the most exciting fields is the simulation of geothermal processes which can be used in the everyday energy-management. In this contribution a CNN-UM simulation of water reinjection are presented. Unfortunately the three dimensional - or the coupled multi-layered - computational structure and space-variant templates do not make it possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution an emulated digital CNN-UM has been used
Keywords :
cellular neural nets; field programmable gate arrays; geothermal power; partial differential equations; power engineering computing; reservoirs; CNN-UM simulation; FPGA based implementation; analog CNN-UM chips; cellular neural networks; energy management; geophysical engineering; geothermal structure; mining engineering; partial differential equations; water heating; water reinjection; Analog computers; Cellular neural networks; Differential equations; Electronic mail; Field programmable gate arrays; Filtration; Geophysics computing; Heat transfer; Partial differential equations; Water heating; Cellular Neural Networks; Field Programmable Gate Arrays; Partial Differential Equations; Water Heating;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0639-0
Electronic_ISBN :
1-4244-0640-4
DOI :
10.1109/CNNA.2006.341653
