A drill-hole, geological and geophysical data-based 3D model for target generation in Neves-Corvo mine region, Portugal

Author(s):  
João Carvalho ◽  
Pedro Dias ◽  
Charles Revaux ◽  
João Xavier Matos ◽  
Vítor Araújo ◽  
...  
Keyword(s):  
3D Model ◽  
2014 ◽  
Vol 926-930 ◽  
pp. 3208-3211
Author(s):  
Sheng Miao Li ◽  
Ke Yan Xiao ◽  
Xiao Ya Luo ◽  
Chun Hua Wen ◽  
Xi Gan

The spatial data of mine is analyzed and processed in this study. This research mainly include: calculate 3d coordinate of points of drill hole axis, calculate 3d coordinates of drill hole axis and stratum surface, insert virtual drill hole and calculate it's ostiole 3d coordinate, divide and number stratum of study area. Finally, this research design drill hole database and realize storage and management of mine geological data. This study also researched the classification and characteristics of 3d spatial data model. Based on distribution characteristics of mine data and application purpose of 3d model, this paper choose quasi tri-prism as basic volume to build 3d geological model. The improvement of data structure and modeling algorithm of quasi tri-prism make it can better adapt to the complex geological body modeling. This research study the expansion rule of triangle, modeling algorithm of quasi tri-prism and finally design geologic body database and realize storage and management of geological modeling data.


2004 ◽  
Vol 36 (3) ◽  
pp. 1214
Author(s):  
Α. Βαφείδης ◽  
H. Hamdan ◽  
Ν. Ανδρονικίδης ◽  
Α. Δασύρας ◽  
Γ. Κρητικάκης ◽  
...  

This paper presents the results from a geophysical survey conducted at Kountoura vergion, Chania. The aim of this survey was to estimate the thickness of the geological formations in the area where a dam is going to be constructed. Electrical tomography and seismic refraction were utilized in order to indicate the location of four drill holes. VLF, well logging and drill hole sampling were carried out. A 3D model was constructed indicating the relief of the underlying neogene marls covered by recent deposits and neogene conglomerates whose thickness ranges from 2-30m. This model does not show any major faults, which may affect the construction of the dam. The relief of the neogene marls is mainly affected by the paleorelief of the phyllite-quartzites and the underlying carbonates. One of the wells shows the weathered layer of phylite-quartzites at depth less than 20 m. This survey shows that the geophysical method give useful information regarding the site selection for the dam at Kountoura.


2019 ◽  
Vol 219 (3) ◽  
pp. 1474-1490 ◽  
Author(s):  
Gerhard Visser ◽  
Jelena Markov

SUMMARY Thickness of cover over crystalline basement is an important consideration for mineral exploration in covered regions. It can be estimated from a variety of geophysical data types using a variety of inference methods. A robust method for combining such estimates to map the cover–basement interface over a region of interest is needed. Due to the large uncertainties involved, these need to be probabilistic maps. Predominantly, interpolation methods are used for this purpose, but these are built on simplifying assumptions about the inputs which are often inappropriate. The Bayesian estimate fusion is an alternative capable of addressing that issue by enabling more extensive use of domain knowledge about all inputs. This study is intended as a first step towards making the Bayesian estimate fusion a practical tool for cover thickness uncertainty mapping. The main contribution is to identify the types of data assumptions that are important for this problem, to demonstrate their importance using synthetic tests and to design a method that enables their use without introducing excessive tedium. We argue that interpolation methods like kriging often cannot achieve this goal and demonstrate that Markov chain Monte Carlo sampling can. This paper focuses on the development of statistical methodology and presents synthetic data tests designed to reflect realistic exploration scenarios on an abstract level. Intended application is for the early stages of exploration where some geophysical data are available while drill hole coverage is poor.


2020 ◽  
Vol 8 ◽  
Author(s):  
Tobias Stål ◽  
Anya M. Reading ◽  
Jacqueline A. Halpin ◽  
Steven J. Phipps ◽  
Joanne M. Whittaker

Interdisciplinary research concerning solid Earth–cryosphere interaction and feedbacks requires a working model of the Antarctic crust and upper mantle. Active areas of interest include the effect of the heterogeneous Earth structure on glacial isostatic adjustment, the distribution of geothermal heat, and the history of erosion and deposition. In response to this research need, we construct an adaptable and updatable 3D grid model in a software framework to contain and process solid Earth data. The computational framework, based on an open source software package agrid, allows different data sources to be combined and jointly analyzed. The grid model is populated with crustal properties from geological observations and geochronology results, where such data exist, and published segmentation from geophysical data in the interior where direct observations are absent. The grid also contains 3D geophysical data such as wave speed and derived temperature from seismic tomographic models, and 2D datasets such as gravity anomalies, surface elevation, subglacial temperature, and ice sheet boundaries. We demonstrate the usage of the framework by computing new estimates of subglacial steady-state heat flow in a continental scale model for east Antarctica and a regional scale model for the Wilkes Basin in Victoria Land. We hope that the 3D model and framework will be used widely across the solid Earth and cryosphere research communities.


2016 ◽  
Vol 54 (12) ◽  
pp. 1343-1404
Author(s):  
LS Spitzhorn ◽  
MA Kawala ◽  
J Adjaye
Keyword(s):  

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