This is the presentation for Tamas Miklovicz thesis work defence in 2017, University of Miskolc. The work summarises the geological 3D modelling of the Recsk Cu-Mo porphyry-skarn deposit and gives a overview on the applicability of CHPM technology (http://www.chpm2030.eu).
The full material is available here: https://drive.google.com/open?id=0B0rhl8Z8xjEoZEx3ek5VVnl0WkU
Image processing techniques applied for pitting corrosion analysiseSAT Journals
Abstract
In order to study the behavior of the early stage of pitting corrosion, an image analysis based on discrete wavelet packet transform
and fractals was used. Image feature parameters were extracted and analyzed to characterize the pitting corrosion development with
test time. It was found that the feature parameters: Shannon entropy, energy, fractal dimension and intercept increased with the test
time. Therefore the image processing techniques were promising and effective tools to analyze and detect the pitting corrosion.
Keywords: corrosion, pitting corrosion, surface topography, surface analysis, carbon steel, tap water
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A final semester thesis done to study the feasibility of a RoR Hydropower in Tila Nadi River, Jumla with the secondary objective of providing water supply to people of Nagma Bazar, Kalikot.
Digital Heritage Documentation Via TLS And Photogrammetry Case Studytheijes
In the last decade, several manual tradition measurement techniques were used to document the heritage buildings around the word; however, some of these techniques take a long time, often lack completeness, and may sometimes give unreliable information. In contrast, terrestrial laser scanning “TLS” surveys and Photogrammetry have already been undertaken in several heritage sites in the United Kingdom and other countries of Europe as a new method of documenting heritagesites. This paper focuses on using the TLS and Photogrammetry methods to document one of the important houses in Historic Jeddah, Saudi Arabia, which is Nasif Historical House, as an example of Digital Heritage Documentation (DHD).
La presentazione del Progetto SmartGeo a cura di Guido Satta, in occasione dell'evento "Bonifiche ambientali e potenzialità delle imprese" che si è tenuto a Cagliari il 7 novembre 2014.
Image processing techniques applied for pitting corrosion analysiseSAT Journals
Abstract
In order to study the behavior of the early stage of pitting corrosion, an image analysis based on discrete wavelet packet transform
and fractals was used. Image feature parameters were extracted and analyzed to characterize the pitting corrosion development with
test time. It was found that the feature parameters: Shannon entropy, energy, fractal dimension and intercept increased with the test
time. Therefore the image processing techniques were promising and effective tools to analyze and detect the pitting corrosion.
Keywords: corrosion, pitting corrosion, surface topography, surface analysis, carbon steel, tap water
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A final semester thesis done to study the feasibility of a RoR Hydropower in Tila Nadi River, Jumla with the secondary objective of providing water supply to people of Nagma Bazar, Kalikot.
Digital Heritage Documentation Via TLS And Photogrammetry Case Studytheijes
In the last decade, several manual tradition measurement techniques were used to document the heritage buildings around the word; however, some of these techniques take a long time, often lack completeness, and may sometimes give unreliable information. In contrast, terrestrial laser scanning “TLS” surveys and Photogrammetry have already been undertaken in several heritage sites in the United Kingdom and other countries of Europe as a new method of documenting heritagesites. This paper focuses on using the TLS and Photogrammetry methods to document one of the important houses in Historic Jeddah, Saudi Arabia, which is Nasif Historical House, as an example of Digital Heritage Documentation (DHD).
La presentazione del Progetto SmartGeo a cura di Guido Satta, in occasione dell'evento "Bonifiche ambientali e potenzialità delle imprese" che si è tenuto a Cagliari il 7 novembre 2014.
Introduction Petrel Course (UAB-2014)
This course has been prepared as an introduction of Petrel software (Schlumberger, www.software.slb.com/products/platform/Pages/petrel.aspx), an application which allows the modeling and visualization of reservoirs, since the exploration stage until production, integrating geological and geophysical data, geological modeling (structural and stratigraphic frameworks), well planning, or property modeling ( petrophysical or petrological) among other possibilities.
The course will be focused mainly in the understanding and utilization of workflows aimed to build geological models based on superficial data (at the outcrop scale) but also with seismic data. The course contents have been subdivided in 5 modules each one developed through the combination of short explanations and practical exercises.
The duration of the course covers more or less 10h divided in three sessions. The starting data will be in the first week of December.
This course will be oriented mainly for the PhD and master students ascribed at the Geologic department of the UAB. For logistic reasons the maximum number of places for each torn are 9. The course is free from the Department members but the external interested will have to make a symbolic payment.
Those interested send an e-mail to the Doctor Griera (albert.griera@uab.cat).
The course will be imparted by Marc Diviu (Msc. Geology and Geophysics of reservoirs).
It's a general description of the DepthInsight Software Product Series, including: DepthInsight Express Edition 2015, DepthInsight Profession Edition 2015, Geomechanics, 3D Paleo-Structural Restoration, Enormous Modeling Platform and Software Development Kit.
User guide of reservoir geological modeling v2.2.0Bo Sun
This is the user guide of DepthInsight™ reservoir geological modeling module. For corresponding video tutorials , please visit and subscribe our Youtube channel: https://www.youtube.com/channel/UCjHyG-mG7NQofUWTZgpBT2w
DepthInsight™ software products include modules as follows:
Structure Interpretation
Well and Data Management
Plan Module
Profile Module
Attribute Modeling
Velocity Modeling
Structural Modeling
Reservoir Geological Modeling
Numerical Simulation Gridding
Rock Modeling
Geo-mechanical Modeling
Paleo-Structural Modeling
Enormous Modeling Platform
For more information about our company, Beijing GridWorld Software Technology Co., Ltd., please visit our website: http://gridworld.com.cn/en/
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
Extraction of geospatial data from the photogrammetric sensing images becomes more and more important with the advances in the technology. Today Geographic Information Systems are used in a large variety of applications in engineering, city planning and social sciences. Geospatial data like roads, buildings and rivers are the most critical feeds of a GIS database. However, extracting buildings is one of the most complex and challenging tasks as there exist a lot of inhomogeneity due to varying hierarchy. The variety of the type of buildings and also the shapes of rooftops are very inconstant. Also in some areas, the buildings are placed irregularly or too close to each other. For these reasons, even by using high resolution IKONOS and QuickBird satellite imagery the quality percentage of building extraction is very less. This paper proposes a solution to the problem of automatic and unsupervised extraction of building features irrespective of rooftop structures in multispectral satellite images. The algorithm instead of detecting the region of interest, eliminates areas other than the region of interest which extract the rooftops completely irrespective of their shapes. Extensive tests indicate that the methodology performs well to extract buildings in complex environments.
Using Virtual Reality Technology in Oil and Gas IndustryDr. Amarjeet Singh
This article introduces the research of virtual
reality technologies used in the oil and gas industry. The
industry is so vast that the technologies used there are
radically different. Various aspects of oil and gas production
were considered, such as geodata modeling, real-time
production visualization technology. The problems and
possible solutions for translating CAD models into virtual
reality applications are indicated. Also, using virtual reality
technology, can increase the speed of work and reduce the
risk of errors, which is extremely important in the oil and
gas industry. As well as the benefits of learning and using
virtual reality to improve learning and understanding of
production processes.
PetroTeach Free Webinar on 3D Printing: The Future of Geology by Dr. Franek H...Petro Teach
Geologists who want:
• A better “topographic map” for planning fieldwork
• To visually and tangibly explore a reservoir model or
compare multiple models
• To perform destructive tests without destroying a
sample
• To “photocopy” a rock or fossil
• To resurrect destroyed samples from digital data
• To manufacture purely synthetic “rocks”
Engineers who want:
• To plan field developments
• To make prototype, replacement, or one-off parts
Managers who want:
• To communicate more effectively with non-technical
audiences (e.g., community stakeholders,
landowners, juries)
• To ensure their own teams are communicating
effectively
• To understand competitors’ presentations that 3D
printed models
Energy efficiency is one of the most critical issue in design of System on Chip. In Network On
Chip (NoC) based system, energy consumption is influenced dramatically by mapping of
Intellectual Property (IP) which affect the performance of the system. In this paper we test the
antecedently extant proposed algorithms and introduced a new energy proficient algorithm
stand for 3D NoC architecture. In addition a hybrid method has also been implemented using
bioinspired optimization (particle swarm optimization) technique. The proposed algorithm has
been implemented and evaluated on randomly generated benchmark and real life application
such as MMS, Telecom and VOPD. The algorithm has also been tested with the E3S benchmark
and has been compared with the existing algorithm (spiral and crinkle) and has shown better
reduction in the communication energy consumption and shows improvement in the
performance of the system. Comparing our work with spiral and crinkle, experimental result
shows that the average reduction in communication energy consumption is 19% with spiral and
17% with crinkle mapping algorithms, while reduction in communication cost is 24% and 21%
whereas reduction in latency is of 24% and 22% with spiral and crinkle. Optimizing our work
and the existing methods using bio-inspired technique and having the comparison among them
an average energy reduction is found to be of 18% and 24%.
ENERGY AND LATENCY AWARE APPLICATION MAPPING ALGORITHM & OPTIMIZATION FOR HOM...cscpconf
Energy efficiency is one of the most critical issue in design of System on Chip. In Network On
Chip (NoC) based system, energy consumption is influenced dramatically by mapping of
Intellectual Property (IP) which affect the performance of the system. In this paper we test the
antecedently extant proposed algorithms and introduced a new energy proficient algorithm
stand for 3D NoC architecture. In addition a hybrid method has also been implemented using
bioinspired optimization (particle swarm optimization) technique. The proposed algorithm has
been implemented and evaluated on randomly generated benchmark and real life application
such as MMS, Telecom and VOPD. The algorithm has also been tested with the E3S benchmark
and has been compared with the existing algorithm (spiral and crinkle) and has shown better
reduction in the communication energy consumption and shows improvement in the
performance of the system. Comparing our work with spiral and crinkle, experimental result
shows that the average reduction in communication energy consumption is 19% with spiral and
17% with crinkle mapping algorithms, while reduction in communication cost is 24% and 21%
whereas reduction in latency is of 24% and 22% with spiral and crinkle. Optimizing our work
and the existing methods using bio-inspired technique and having the comparison among them
an average energy reduction is found to be of 18% and 24%.
3d hydrogeological conceptual model building in denmarkTorben Bach
Lessons learned from the Danish groundwater mapping campaign
Presented October 4th at the 2017 Groundwater Resources Association meeting in Sacramento, CA
Presenter: Torben Bach, I-GIS
Introduction Petrel Course (UAB-2014)
This course has been prepared as an introduction of Petrel software (Schlumberger, www.software.slb.com/products/platform/Pages/petrel.aspx), an application which allows the modeling and visualization of reservoirs, since the exploration stage until production, integrating geological and geophysical data, geological modeling (structural and stratigraphic frameworks), well planning, or property modeling ( petrophysical or petrological) among other possibilities.
The course will be focused mainly in the understanding and utilization of workflows aimed to build geological models based on superficial data (at the outcrop scale) but also with seismic data. The course contents have been subdivided in 5 modules each one developed through the combination of short explanations and practical exercises.
The duration of the course covers more or less 10h divided in three sessions. The starting data will be in the first week of December.
This course will be oriented mainly for the PhD and master students ascribed at the Geologic department of the UAB. For logistic reasons the maximum number of places for each torn are 9. The course is free from the Department members but the external interested will have to make a symbolic payment.
Those interested send an e-mail to the Doctor Griera (albert.griera@uab.cat).
The course will be imparted by Marc Diviu (Msc. Geology and Geophysics of reservoirs).
It's a general description of the DepthInsight Software Product Series, including: DepthInsight Express Edition 2015, DepthInsight Profession Edition 2015, Geomechanics, 3D Paleo-Structural Restoration, Enormous Modeling Platform and Software Development Kit.
User guide of reservoir geological modeling v2.2.0Bo Sun
This is the user guide of DepthInsight™ reservoir geological modeling module. For corresponding video tutorials , please visit and subscribe our Youtube channel: https://www.youtube.com/channel/UCjHyG-mG7NQofUWTZgpBT2w
DepthInsight™ software products include modules as follows:
Structure Interpretation
Well and Data Management
Plan Module
Profile Module
Attribute Modeling
Velocity Modeling
Structural Modeling
Reservoir Geological Modeling
Numerical Simulation Gridding
Rock Modeling
Geo-mechanical Modeling
Paleo-Structural Modeling
Enormous Modeling Platform
For more information about our company, Beijing GridWorld Software Technology Co., Ltd., please visit our website: http://gridworld.com.cn/en/
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
Extraction of geospatial data from the photogrammetric sensing images becomes more and more important with the advances in the technology. Today Geographic Information Systems are used in a large variety of applications in engineering, city planning and social sciences. Geospatial data like roads, buildings and rivers are the most critical feeds of a GIS database. However, extracting buildings is one of the most complex and challenging tasks as there exist a lot of inhomogeneity due to varying hierarchy. The variety of the type of buildings and also the shapes of rooftops are very inconstant. Also in some areas, the buildings are placed irregularly or too close to each other. For these reasons, even by using high resolution IKONOS and QuickBird satellite imagery the quality percentage of building extraction is very less. This paper proposes a solution to the problem of automatic and unsupervised extraction of building features irrespective of rooftop structures in multispectral satellite images. The algorithm instead of detecting the region of interest, eliminates areas other than the region of interest which extract the rooftops completely irrespective of their shapes. Extensive tests indicate that the methodology performs well to extract buildings in complex environments.
Using Virtual Reality Technology in Oil and Gas IndustryDr. Amarjeet Singh
This article introduces the research of virtual
reality technologies used in the oil and gas industry. The
industry is so vast that the technologies used there are
radically different. Various aspects of oil and gas production
were considered, such as geodata modeling, real-time
production visualization technology. The problems and
possible solutions for translating CAD models into virtual
reality applications are indicated. Also, using virtual reality
technology, can increase the speed of work and reduce the
risk of errors, which is extremely important in the oil and
gas industry. As well as the benefits of learning and using
virtual reality to improve learning and understanding of
production processes.
PetroTeach Free Webinar on 3D Printing: The Future of Geology by Dr. Franek H...Petro Teach
Geologists who want:
• A better “topographic map” for planning fieldwork
• To visually and tangibly explore a reservoir model or
compare multiple models
• To perform destructive tests without destroying a
sample
• To “photocopy” a rock or fossil
• To resurrect destroyed samples from digital data
• To manufacture purely synthetic “rocks”
Engineers who want:
• To plan field developments
• To make prototype, replacement, or one-off parts
Managers who want:
• To communicate more effectively with non-technical
audiences (e.g., community stakeholders,
landowners, juries)
• To ensure their own teams are communicating
effectively
• To understand competitors’ presentations that 3D
printed models
Energy efficiency is one of the most critical issue in design of System on Chip. In Network On
Chip (NoC) based system, energy consumption is influenced dramatically by mapping of
Intellectual Property (IP) which affect the performance of the system. In this paper we test the
antecedently extant proposed algorithms and introduced a new energy proficient algorithm
stand for 3D NoC architecture. In addition a hybrid method has also been implemented using
bioinspired optimization (particle swarm optimization) technique. The proposed algorithm has
been implemented and evaluated on randomly generated benchmark and real life application
such as MMS, Telecom and VOPD. The algorithm has also been tested with the E3S benchmark
and has been compared with the existing algorithm (spiral and crinkle) and has shown better
reduction in the communication energy consumption and shows improvement in the
performance of the system. Comparing our work with spiral and crinkle, experimental result
shows that the average reduction in communication energy consumption is 19% with spiral and
17% with crinkle mapping algorithms, while reduction in communication cost is 24% and 21%
whereas reduction in latency is of 24% and 22% with spiral and crinkle. Optimizing our work
and the existing methods using bio-inspired technique and having the comparison among them
an average energy reduction is found to be of 18% and 24%.
ENERGY AND LATENCY AWARE APPLICATION MAPPING ALGORITHM & OPTIMIZATION FOR HOM...cscpconf
Energy efficiency is one of the most critical issue in design of System on Chip. In Network On
Chip (NoC) based system, energy consumption is influenced dramatically by mapping of
Intellectual Property (IP) which affect the performance of the system. In this paper we test the
antecedently extant proposed algorithms and introduced a new energy proficient algorithm
stand for 3D NoC architecture. In addition a hybrid method has also been implemented using
bioinspired optimization (particle swarm optimization) technique. The proposed algorithm has
been implemented and evaluated on randomly generated benchmark and real life application
such as MMS, Telecom and VOPD. The algorithm has also been tested with the E3S benchmark
and has been compared with the existing algorithm (spiral and crinkle) and has shown better
reduction in the communication energy consumption and shows improvement in the
performance of the system. Comparing our work with spiral and crinkle, experimental result
shows that the average reduction in communication energy consumption is 19% with spiral and
17% with crinkle mapping algorithms, while reduction in communication cost is 24% and 21%
whereas reduction in latency is of 24% and 22% with spiral and crinkle. Optimizing our work
and the existing methods using bio-inspired technique and having the comparison among them
an average energy reduction is found to be of 18% and 24%.
3d hydrogeological conceptual model building in denmarkTorben Bach
Lessons learned from the Danish groundwater mapping campaign
Presented October 4th at the 2017 Groundwater Resources Association meeting in Sacramento, CA
Presenter: Torben Bach, I-GIS
Digital Heritage Documentation Via TLS And Photogrammetry Case Studytheijes
In the last decade, several manual tradition measurement techniques were used to document the heritage buildings around the word; however, some of these techniques take a long time, often lack completeness, and may sometimes give unreliable information. In contrast, terrestrial laser scanning “TLS” surveys and Photogrammetry have already been undertaken in several heritage sites in the United Kingdom and other countries of Europe as a new method of documenting heritagesites. This paper focuses on using the TLS and Photogrammetry methods to document one of the important houses in Historic Jeddah, Saudi Arabia, which is Nasif Historical House, as an example of Digital Heritage Documentation (DHD)
Detection of Bridges using Different Types of High Resolution Satellite Imagesidescitation
Automatic detection of geographical objects such as roads, buildings and bridges
from remote sensing imagery is a very meaningful but difficult work. Bridges over water is
a typical geographical object and its automatic detection is of great significance for many
applications. Finding Region Of Interest (ROI) having water areas alone is the most crucial
task in bridge detection. This can be done with image processing / soft computing methods
using images in spatial domain or with Normalized Differential Water Index (NDWI) using
images in spectral domain. We have developed an efficient algorithm for bridge detection
where the ROI segmentation is done using both methods. Exact locations of bridges are
obtained by knowledge models and spatial resolution of the image. These knowledge models
are applied in the algorithm in such a way that the thresholds are automatically fixed
depending on the quality of the image. Using the algorithm any type of bridges are extracted
irrespective of their inclination and shape.
Comparison of specific segmentation methods used for copy move detection IJECEIAES
In this digital age, the widespread use of digital images and the availability of image editors have made the credibility of images controversial. To confirm the credibility of digital images many image forgery detection types are arises, copy-move forgery is consisting of transforming any image by duplicating a part of the image, to add or hide existing objects. Several methods have been proposed in the literature to detect copy-move forgery, these methods use the key point-based and block-based to find the duplicated areas. However, the key point-based and block-based have a drawback of the ability to handle the smooth region. In addition, image segmentation plays a vital role in changing the representation of the image in a meaningful form for analysis. Hence, we execute a comparison study for segmentation based on two clustering algorithms (i.e., k-means and super pixel segmentation with density-based spatial clustering of applications with noise (DBSCAN)), the paper compares methods in term of the accuracy of detecting the forgery regions of digital images. K-means shows better performance compared with DBSCAN and with other techniques in the literature.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
1. University of Miskolc
Faculty of Earth Science and Engineering
Department of Geology and Mineral Resources
Application of predictive 3D geomodelling on the Recsk Ore Complex vertical extent, and
overview of CHPM technology at Recsk
Author: Tamás Miklovicz
Consultants: Jean-Jacques Royer, János Földessy, Éva Hartai, Géza Szebényi
miklovicz.tamas@gmail.com
Miskolc 08/06/2017
2. Table of content
Topic 0: Characterization of modelled deposit (Chapter 2.)
Topic 1: 3D geological modelling (Chapter 3.)
Topic 2: Grade tonnage models (Chapter 4.)
Topic 3: CHPM technology (Chapter 5.)
Conclusions (Chapter 7.)
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 1/12
Literature review
Own work
3. Objective: geological framework/background
1. Porphyry Cu deposits
2. Skarn deposits
3. Geology/mineralization at Recsk
a. Geological structural settings
Darno Zone, diorite intrusive
b. Exploration history:
government/academics/private companies.
c. Mineralization
7 different type (porphyry, skarn, etc)
d. Resources exploration
0.4% Cu cut off, 779.3 Mt
Lot of research done at Recsk.
What changes since? Nothing new to add?
Characterization of modelled deposit
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 2/12
Computing power, geo-software,
big-data, machine learning/AI,
4. 3D geological modeling
Objectives: reprocess all relevant data and create a 3D model of the main
geological structures at Recsk deposit
Software: Paradigm GOCAD 2009.4 32 bit
Input dataset for 3D model:
- Drill coordinates, dip/azimuth/depth
- Geological cross sections
- Geophysical maps: regional (Bouguer gravity, magnetic deltaT and
deltaZ), local (filtered gravity, apparent resistivity, magnetic)
- Interpreted seismic sections
- Surface and Pre-Cenozoic geological maps
- Shuttle radar tomography mission (ASTER GDEM) data
- Google satellite, topography maps
Process:
- Data collection/preparation/cleaning
- Import/geofererence
- Digitalization
- Surface creation
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 3/12
5. 3D geological modeling
Results:
Fault system Eocene/Triassic horizons Intrusion surface
DWG files from these surfaces are available
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 4/12
6. 3D geological modeling
Results:
1. Fault system:
2. Eocene/Triassic horizons:
3. Intrusion surface:
DWG f
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 5/12
7. Grade-tonnage calculations
Objective: use chemical data from RM drillings to create grade tonnage models for
Cu, Mo, Zn, Au, Ag.
Input data:
- 134 RM drillings trajectory
- Chemical dataset, including Cu, Pb, Zn, Mo, Fe, Se, S [%]; Au, Ag [g/t], core
recovery, polymetallic index,
- Previously created 3D models
Preprocessing:
Fix chemical data to EOV XZY from depth value (from-to base)
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 6/12
8. Grade-tonnage calculations
How?
Creation of histograms and variograms
How?
Creation of SGrid and populate/interpolate it with the
measurements
Limitations:
- cell size: 50x50x20 m (porphyry vs skarn)
- no samples from the underground drillings, only RM
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 7/12
10. CHPM technology overview at Recsk
Objective: give an overview on CHPM technology
application at Recsk
About CHPM technology
- Combined Heat, Power and Metal extraction
- Geothermal energy + mineral extraction
- → increase financial feasibility of geothermal
projects
- H2020 project, CHPM2030, University of Miskolc
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 9/12
11. CHPM technology overview at Recsk
How?
Literature background → 3D visualization of maps/sections → Geological model down to 3 km
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 10/12
Sillitoe, R. 2010: Porphyry Copper Systems.
Economic Geology, v. 105, pp. 3–41
12. CHPM technology overview at Recsk
Resuts:
- 3D model down to 3 km
- Deep batholith inferred
- Circumstances for
mineralization are present,
skarn
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 11/12
13. Conclusions
Topic 1: 3D geological modelling
- surface: fault system, Eocene/Triassic
horizons, intrusive
Topic 2: Grade tonnage models
- Cu cut-off: Cu, Mo, Au, Ag, Zn
Topic 3: CHPM technology
- deep mineralization is expected
→ Opportunity in reprocessing/3D modeling
historical data
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 12/12
14. Publication
A research does not exist until it is published!
(Grad. Research seminar, Prof Ferenc Mádai)
Conference attendance:
- 20th Congress of Hungarian Geomathematicians, 9th Congress of Croatian & Hungarian Geomathematicians “Geomathematics
in multidisciplinary science - The new frontier?”. May 2017
- 8. Kőzettani és Geokémiai Vándorgyűlés. September 2017
Paper
- Central European Geology, special issue
Other:
- Research gate: DOI: 10.13140/RG.2.2.14690.53440
- LinkedIn post and added to the profile, posted at different geomodeling groups
- News item on LPRC website
- Twitter post
- Matarka
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 12+1/12
15. Thank you for your attention!
Jó Szerencsét!
Acknowledgements to:
LPRC, Jean-Jacques Royer, Éva Hartai, János Földessy, Géza Szebényi
Download the full text from:
https://drive.google.com/open?id=0B0rhl8Z8xj
EoZEx3ek5VVnl0WkU
Contact: tamas.miklovicz@lapalmacentre.eu @miktamas
16. Questions from the reviewer: PhD Viktor Mádai
Q1
Explanation for 4
1. The used interpolation algorithms are not explained.
2. Which result is closer to the reality.
3. Why would be fruitful to choose DSI or Kriging?
Reviewer’s remarks and questions to the author:
1. The intrusive body was modelled by a surface. At the beginning of the process why 20 m was choosen as a
general distance between the points on the curves?(page34)
2. Why 250 m was used between the points during the construction of faulted surface?(page 31)
3. What is the general theoretical background of densification?
4. There are no any distance scale on the maps, figures.
5. Why 200m was used as a distance criteria during the S-grid creation process? (page 36)
6. The intrusion seems to be situating on the surface (page 40 fig 3.21)
7. Although DSI is explained a bit, there are no general explanation which one is better in a given geological
settings.
(page 50)
8. Which ore body model is more plausible or realistic (Kriging or DSI based)?
9. Is there any scientific outline about the refilling velocity of hot water between the wells? (there will be a
bulge and a depression in the waterf level.)
Introduction 3D modeling Grade tonnage CHPM technology Conclusion
17. Questions from the reviewer: PhD Viktor Mádai
Q1
Explanation for mark 4
1. The used interpolation algorithms are not explained: page 43:
DSI or Discrete smooth interpolation is a point estimator whose criteria is to minimise the local curvature (second
derivative) between the data points values (coordinate, grades, properties) to be interpolated. The DSI interpolator
reduces the fitting error between the sampled point (called controlling object) and the data model while keeping as
objective to be as smooth as possible (GOCAD help). The advantage of this method is that it is an exact estimator and
numerically stable.
Kriging is an optimization technique based on regression against observed z values of surrounding data points in a
neighborhood, weighted according to spatial covariance values (Bohling, 2005). In other words, kriging is a point
estimator with a principle of minimizing the estimation variances (Matheron, 1962; Journel and Huijbregts 1978).
Kriging in GOCAD calculates both an estimation (estimation of the value Z) and an error variance (estimate of the
error). Kriging requires a variogram calculated on the dataset. To do the kriging, the calculated empirical variogram
has to be replaced with a “synthetic” fitted theoretical variogram.
2. Which result is closer to the reality: page 47
One of the advantage of kriging is that it considers the spatial variability of the elements by using variogram
→ kriging
3. Why would be fruitful to choose DSI or Kriging? Page 47
Introduction 3D modeling Grade tonnage CHPM technology Conclusion
18. Questions from the reviewer: PhD Viktor Mádai
Q1
Explanation for 4
1. The used interpolation algorithms are not explained.
2. Which result is closer to the reality.
3. Why would be fruitful to choose DSI or Kriging?
Reviewer’s remarks and questions to the author:
1. The intrusive body was modelled by a surface. At the beginning of the process why 20 m was choosen as a
general distance between the points on the curves?(page34)
2. Why 250 m was used between the points during the construction of faulted surface?(page 31)
3. What is the general theoretical background of densification?
4. There are no any distance scale on the maps, figures.
5. Why 200m was used as a distance criteria during the S-grid creation process? (page 36)
6. The intrusion seems to be situating on the surface (page 40 fig 3.21)
7. Although DSI is explained a bit, there are no general explanation which one is better in a given geological
settings.
(page 50)
8. Which ore body model is more plausible or realistic (Kriging or DSI based)?
9. Is there any scientific outline about the refilling velocity of hot water between the wells? (there will be a
bulge and a depression in the waterf level.)
Introduction 3D modeling Grade tonnage CHPM technology Conclusion
19. Questions from the reviewer: Dr. Szentpéteri Krisztián
My questions to the author:
1) Based on the geological modelling exercise, where would the author target; 1) exploration drilling that would the
most potentially expand the resources and 2) infill drilling that would the most potentially enhance the quality and
confidence of the resource modelling?
2) Based on the variogram analysis how many ore types can the author recognize, what they are and where they are
located in the 3D modelling space?
3) Has the author ever performed the following exercise: looking at only the assay data, without anything else (no
sections, no surface, no geophysics) purely the points hanging in the empty 3D space?
4) What does the author think; what will be the most useful geological data for modelling Recsk Deep skarn
mineralization and why?
Introduction 3D modeling Grade tonnage CHPM technology Conclusion Q2
20. Questions from the reviewer: Dr. Szentpéteri Krisztián
2) Based on the variogram analysis how many ore types can the author recognize, what
they are and where they are located in the 3D modelling space?
At least 3 structures can be distinguished based on sill/nugget of horizontal variograms:
- 100 m: Au,
- 350 m: Cu, Zn, Mo
- ~700 m: Pb, Ag
Mo Cu
Introduction 3D modeling Grade tonnage CHPM technology Conclusion Q2
21. CHPM technology overview at Recsk
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 10/12
22. CHPM technology overview at Recsk
Introduction 3D modeling Grade tonnage CHPM technology Conclusion 11/12
