3-D inversion of borehole-to-surface electrical data using a back-propagation neural network : Electromagnetic studies for mining, geothermal and hydrocarbons

3-D inversion of borehole-to-surface electrical data using a back-propagation neural network : Electromagnetic studies for mining, geothermal and hydrocarbons

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Bibliographic Details
Published in:Journal of applied geophysics Vol. 68; no. 4; pp. 489 - 499
Main Author: TRONG LONG HO
Format: Journal Article
Language:English
Published: Oxford Elsevier 2009
Subjects:
Applied geophysics
Earth sciences
Earth, ocean, space
Exact sciences and technology
Internal geophysics
Kyushu
Asia
Japan
Far East
algorithms
Mise-à-la-masse (MAM)
neural networks
surveys
accuracy
case studies
boreholes
solution
tomography
Back-propagation neural network
geothermal fields
flow
inverse problem
cost
exploration
data processing
geophysics
indicators
propagation
3-D MAM inversion
fluid-flow tomography method
reduction
Takigami geothermal field
injection
errors
Online Access:Get full text
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Description
ISSN:0926-9851
1879-1859