In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of wavelet neural network (WNN) technique in ore grade estimation, which is based on integration between wavelet theory and Artificial Neural Network (ANN). Different wavelets are applied as activation functions to estimate Cu grade of borehole data in the hypogene zone of porphyry ore deposi...

Advances in reservoir characterization and modeling have given the industry improved ability to build detailed geological models of petroleum reservoirs. These models are characterized by complex shapes and structures with discontinuous material properties that span many orders of magnitude. Models that represent fractures explicitly as volumetric objects pose a particular challenge to standard...

This thesis develops a novel aerial terrain modeling system. The system is unique since it flies onboard a small autonomous helicopter and senses the structure and color of its surroundings to build accurate 3D terrain models. The system is capable of modeling terrain where current approaches are too expensive, too dangerous, or too difficult. The prototype system is primarily composed of a mec...

introduction: occurrence of landslides depends on several factors such as the composition and structure of earth materials, rainfall level, temperature, groundwater regime and cover crops. landslides are a main natural hazard in iran, because of its special geological conditions and its mountainous active tectonic regime. linear civil structures, such as roads, highways and railways, face serio...

SUMMARY The spatially constrained inversion (SCI) is a robust methodology for quasi-3D modeling of geoelectrical and EM data of varying spatial density, using a 1D forward solution. Information migrate horizontally through spatial constraints applied between nearest neighboring soundings, and allow resolution of layers that would be locally poorly resolved. The constraints are built using the D...

We present a new methodology, spatially constrained inversion SCI , that produces quasi-3D conductivity modeling of electromagnetic EM data using a 1D forward solution. Spatial constraints are set between the model parameters of nearest neighboring soundings. Data sets, models, and spatial constraints are inverted as one system. The constraints are built using Delaunay triangulation, which ensu...

3D geological modeling of lithogeochemical and geological data provides insight into the role of the sulfide ore horizon and associated footwall hydrothermal alteration in localizing shear strain in the Flin Flon volcanogenic massive sulfide deposits, Canada, as deformation evolved from brittle-ductile to ductile regimes during collisional stages of the 1.9–1.8 Ga Trans-Hudson orogeny. 3D spati...

Ahmadi, O. 2015. Application of the Seismic Reflection Method in Mineral Exploration and Crustal Imaging. Contributions to Hardrock Seismic Imaging. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1269. 76 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9290-8. The seismic reflection method has been used extensively in mineral exp...