Developing better integration of geological constraints into 3D regional modelling
Identify ways to carry geological meaning through the geophysical inversion process
Mark Jessell from the Centre for Exploration Targeting at the University of Western Australia presents his latest work on using geological relationships to improve our 3D modelling and mineral systems analyses.
John McGaughey, CEO/President of Mira Geoscience offers his thoughts and the practices of integrated geophysical interpretation at the 3D Interest Group
Jeremie Giraud's PhD research being conducted at the Centre for Exploration Targeting, University of Western Australia is investigating the use of probabilistic geological models and statistical distributions of petrophysics to constrain joint potential field inversion.
This document discusses motion segmentation techniques. It begins by defining motion segmentation as segmenting images based on common motion, where points moving together are grouped together. It then lists some applications of motion segmentation such as object detection, tracking, and video editing. The document goes on to discuss previous work on motion segmentation algorithms. It also outlines some challenges in motion segmentation like computing motion in complex scenes with many objects. Finally, it provides an overview of topics covered in more detail, such as feature tracking, motion segmentation using mixture models, and articulated human motion models.
The document summarizes research using GEMS (Galaxy Evolution from Morphologies and SEDs), a large Hubble Space Telescope imaging survey, to study weak gravitational lensing and galaxy evolution. Key findings include:
1) GEMS detected a weak lensing signal from large scale structure, estimating cosmological parameters σ8 and Ωm.
2) Space-based imaging from GEMS provides higher quality galaxy shapes for weak lensing than ground-based imaging, enabling studies to higher redshift.
3) GEMS imaging allows detailed analysis of galaxy morphologies and their evolution since z=1 through parameters like color, luminosity, size, and merger rates.
Modeling and inversion related activities at Geoscience Australia - September...Richard Lane
Presented at the ASEG (WA Branch) "Geophysical inversion for mineral explorers" on 20140902.
At Geoscience Australia, we service many applications, and modeling and inversion of geophysical data is in widespread use throughout these.
We principally deal with the following data types:
Gravity, Magnetics, AEM, MT, and Seismic.
Magnetic Field Line Tangling and Topological EntropySimon Candelaresi
Mixing of two-dimensional flows or three-dimensional magnetic fields is quantified using the finite time topological entropy FTTE. Similar to the finite time Lyapunov exponent it quantifies the amount of mixing of the fluid or chaotic dynamics in the system. Here we present an efficient method on how to compute the FTTE for periodic magnetic fields, like in Tokamaks, or for time periodic two-dimensional flows. Our method is both precise and highly time efficient. To show case the method we apply it to such cases that describe tangled or twisted magnetic fields.
Developing better integration of geological constraints into 3D regional modelling
Identify ways to carry geological meaning through the geophysical inversion process
Mark Jessell from the Centre for Exploration Targeting at the University of Western Australia presents his latest work on using geological relationships to improve our 3D modelling and mineral systems analyses.
John McGaughey, CEO/President of Mira Geoscience offers his thoughts and the practices of integrated geophysical interpretation at the 3D Interest Group
Jeremie Giraud's PhD research being conducted at the Centre for Exploration Targeting, University of Western Australia is investigating the use of probabilistic geological models and statistical distributions of petrophysics to constrain joint potential field inversion.
This document discusses motion segmentation techniques. It begins by defining motion segmentation as segmenting images based on common motion, where points moving together are grouped together. It then lists some applications of motion segmentation such as object detection, tracking, and video editing. The document goes on to discuss previous work on motion segmentation algorithms. It also outlines some challenges in motion segmentation like computing motion in complex scenes with many objects. Finally, it provides an overview of topics covered in more detail, such as feature tracking, motion segmentation using mixture models, and articulated human motion models.
The document summarizes research using GEMS (Galaxy Evolution from Morphologies and SEDs), a large Hubble Space Telescope imaging survey, to study weak gravitational lensing and galaxy evolution. Key findings include:
1) GEMS detected a weak lensing signal from large scale structure, estimating cosmological parameters σ8 and Ωm.
2) Space-based imaging from GEMS provides higher quality galaxy shapes for weak lensing than ground-based imaging, enabling studies to higher redshift.
3) GEMS imaging allows detailed analysis of galaxy morphologies and their evolution since z=1 through parameters like color, luminosity, size, and merger rates.
Modeling and inversion related activities at Geoscience Australia - September...Richard Lane
Presented at the ASEG (WA Branch) "Geophysical inversion for mineral explorers" on 20140902.
At Geoscience Australia, we service many applications, and modeling and inversion of geophysical data is in widespread use throughout these.
We principally deal with the following data types:
Gravity, Magnetics, AEM, MT, and Seismic.
Magnetic Field Line Tangling and Topological EntropySimon Candelaresi
Mixing of two-dimensional flows or three-dimensional magnetic fields is quantified using the finite time topological entropy FTTE. Similar to the finite time Lyapunov exponent it quantifies the amount of mixing of the fluid or chaotic dynamics in the system. Here we present an efficient method on how to compute the FTTE for periodic magnetic fields, like in Tokamaks, or for time periodic two-dimensional flows. Our method is both precise and highly time efficient. To show case the method we apply it to such cases that describe tangled or twisted magnetic fields.
Exploring DEM error with geographically weighted regressionGeoCommunity
Michal Gallay, Christopher D. Lloyd, Jennifer McKinley: Exploring DEM error with geographically weighted regression (poster), 9th International Symposium GIS Ostrava, VŠB – Technical Univerzity of Ostrava, from 23rd to 25th January 2012
Superflares in G, K and M Type Dwarfs from Kepler ObservationsSimon Candelaresi
We study the occurrence of superflares in G, K and M type dwarfs from lightcurves obtained by the Kepler mission. From that set 380 stars are detected with flares above 10^34 erg with 1690 such events. Various stellar parameters are considered here to find what circumstances are favorable for the occurrence of superflares. With decreasing effective temperature the flaring rate increases, as well as with an increase in the star's rotation rate. Star spots, which are a proxy for the magnetic field strength and dynamo activity, are seen more frequently in flaring stars and cover a larger proportion of the star's. surface. Using Ohmic dissipation as proxy for flare events, we perform simulations for a turbulent dynamo and find an increase of Ohmic dissipation as the dynamo number increases, in line with the observations.
This document shows a suggested approach to generate geological maps from satellite images, which represent a powerful tool to characterize an area prior fieldwork, saving energy and money during the process and using the free sources from NASA and the USGS. This exercise mapped a Colombian area called Media Luna Syncline
The document proposes an improved change vector analysis (ICVA) method to more accurately detect land cover changes using multi-temporal remote sensing data. ICVA combines traditional change vector analysis with a cross-correlogram spectral matching algorithm to 1) preliminarily detect changes, 2) identify and eliminate areas of vegetation variation rather than conversion using profile similarity analysis, and 3) determine actual land cover conversion types. The method is tested on MODIS EVI data for a region in China, achieving higher accuracy than traditional change vector analysis alone.
Fractional approaches in dielectric broadband spectroscopySimon Candelaresi
A fractional approach is used to describe data from dielectric spectroscopy for several glassy materials. Using composite fractional time evolution propagators a modified law for relaxation in glasses is found that describes the experimental data for broadband dielectric spectroscopy. Properties and solutions of some particular fractional differential equations (fDEQs) are investigated both for rational and irrational order. The laws of Debye, Kohlrausch, Cole-Cole, ColeDavidson and Havriliak-Negam
This document summarizes a GIS analysis of landslides near Rocky Mountain National Park, Colorado. The analysis used GIS tools to identify factors associated with slope mass movements after heavy rainfall in 2013. Results showed that landslides commonly had multiple source areas and lithologies. Specifically, south-facing slopes between 30-60 degrees, granite rock type, and slopes made up the largest percentages and areas of landslide sources. Proximity to rivers was not a major cause of landslides in this area.
This document presents a method for detecting slope failures caused by the 2009 Sumatra earthquake using TerraSAR-X (TSX) and TanDEM-X (TDX) satellite images. The researchers analyzed TSX images from before and after the earthquake to identify slope failures through changed backscatter and color composites. Slope failures were detected with 65% accuracy by combining TSX imagery with local incidence angles. Interferometry of TDX image pairs showed clear fringes in slope failure areas, allowing detection of 70-98% of failures. Field surveys confirmed expansions between 2010-2011 due to rainfall. Future work will calculate failure volumes from digital elevation models of fringe patterns.
This document compares the ability of Landsat 8 and Landsat 7 data to map geology and visualize lineaments in central Kenya. It finds that:
1) Principal component analysis and band ratio techniques on Landsat 8 and 7 data enhanced geological contrasts in the study area, which has both semi-arid and highland terrain.
2) Knowledge-based classification of principal component and band ratio outputs from both sensors produced geology maps superior to existing maps, which could be used to update them.
3) False color combinations of independent component analysis and principal component analysis bands on both datasets effectively visualized lineaments for structural geology analysis.
Remote Sensing Scene Classification by Unsupervised Representation LearningAatif Sohail
This document presents a proposed method for remote sensing scene classification using unsupervised representation learning. The method uses a weighted deconvolutional model to learn features from high spatial resolution images in an unsupervised manner. Spatial pyramid matching is then used to aggregate the learned features at multiple scales. The method is tested on two datasets and is shown to achieve good performance compared to state-of-the-art methods, demonstrating the effectiveness of combining weighted deconvolution and spatial pyramid matching for remote sensing scene classification.
Digital soil mapping of an Argentinian Pampa Region using structural equation...Marcos Angelini
Digital soil mapping (DSM) is a technique that has been broadly used during the last decade to produce soil properties/type maps. However, many soil scientist still prefer to use and create classical soil maps. Although there may be many reasons for this, one of the critical drawback of DSM is that interrelationships between soil properties are not captured, which are essential to understand the soil dynamics. In this presentation I will show you how we can deal with this problem even using DSM.
This document introduces the TechnoTectonics methodology for identifying prospective mineral and hydrocarbon targets. It analyzes satellite images, maps, and other geospatial data to identify lineaments and intersections that often indicate mineralization. The methodology was successfully tested on blind areas, locating known deposits. Customers have been impressed with results that identified new prospective zones. The methodology integrates lineament analysis with geological, geophysical and geochemical data to create prospective maps and recommend highest priority targets for exploration.
This document presents an interactive editing scheme for crowd animation that allows animators to directly manipulate existing group motion data. A novel graph structure is used to represent group motions, with each vertex corresponding to an individual's location over time. Editing operations like repositioning individuals or stitching group motions are achieved by deforming this graph in a detail-preserving manner. The approach was demonstrated on two crowd scenes, allowing animators to selectively edit portions of simulated group motions to achieve desired results while maintaining natural speeds and formations. Limitations in handling large deformations or very large crowds are discussed, along with ideas for future work.
1. The document presents a study of rotational asymmetry in galaxies for both morphological and physical diagnostic purposes. It introduces two measures of asymmetry: A1, the existing measure, and A3, an alternative measure proposed using Spearman's correlation coefficient.
2. Methods describe existing measures of concentration, asymmetry, smoothness, and other morphological parameters. It then provides the equations for measuring A1 and introduces A3.
3. Results show correlations between A3 and concentration, and histograms comparing A1 and A3 in distinguishing galaxy types using a sample from existing galaxy catalogs. A3 proved more effective than A1 at distinguishing classes.
A DIFFUSION AND CLUSTERING-BASED APPROACH FOR FINDING COHERENT MOTIONS AND UN...Nexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Titan’s Topography and Shape at the Endof the Cassini MissionSérgio Sacani
With the conclusion of the Cassini mission, we present an updated topographic map of Titan,including all the available altimetry, SARtopo, and stereophotogrammetry topographic data sets availablefrom the mission. We use radial basis func tions to interpolate the sparse data set, which covers only ∼9%of Titan’s global area. The most notable updates to the topography include higher coverage of the polesof Titan, improved fits to the global shape, and a finer resolution of the global interpolation. We alsopresent a statistical analysis of the error in the derived products and perform a global minimization on aprofile-by-profile basis to account for observed biases in the input data set. We find a greater flattening ofTitan than measured, additional topographic rises in Titan’s southern hemisphere and better constrain thepossible locations of past and present liquids on Titan’s surface.
MODELING DAILY NET SHORTWAVE RADIATION OVER RUGGED SURFACES USING MODIS ATMOS...grssieee
The document summarizes a study modeling daily net shortwave radiation (NSSR) over rugged surfaces using MODIS atmospheric products. It presents the background of the study, data and methodology used, results and discussion of model validation showing R-squared values between 0.71-0.93 for different locations, and sources of error. It concludes that terrain is the main factor attenuating NSSR under clear sky, while clouds play a greater role under cloudy sky, and moderately accurate NSSR maps over rugged surfaces can be produced using MODIS data.
The Effect of Topography on The Seismic WavefieldUlrika Miller
Active tectonic settings exhibit deformation manifested by earthquakes and by strong topographic variations due to erosion and uplift. Seismic waves from these earthquakes will clearly be influenced by the topographic variations, but it is challenging to isolate the effects of topography from the effects of variations in 3D seismic wave-speed structure. Here we design a realistic numerical experiment to investigate the effects of topography on the regional seismic wavefield. We choose southern California as a target region. We perform several sets of 3D seismic wavefield simulations for 137 earthquake sources ranging from Mw 3.4 to 5.4. We test the influence of topography within a homogeneous model and a layered model, and for each model we establish the shortest resolvable period for each path between a source and station. By examining the path-specific shortest resolvable periods, we are able to make some generalizations. Topography has the strongest influence on surface waves, particularly for waveforms with travel paths that are nodal to the source radiation; in these directions, the wave amplitudes are relatively low, so any multi-pathing or scattering effects due to topography are more easily identified. The topographic effects are stronger for shorter periods and for longer paths. The influence of topography on the seismic waveforms arises from both the change in the topographic surface, but also the change in the wave-speed structure that arises from perturbing the topography for a 1D (or 3D) wave- speed model. These generalizations of the influence of topography provide a basis for further numerical investigations or for where to search within a regional set of observations for the topographic effects. Topography should be included within simulation-based seismic imaging applications, especially those at high frequencies, in order to eliminate the possibility of attributing topographically-caused waveforms to subsurface variations in structure.
Forest Change Detection in incomplete satellite images with deep neural networksAatif Sohail
This document discusses a method for detecting forest change using deep neural networks on incomplete satellite images. It proposes using a three-stage process to recover missing and cloudy data by exploiting temporal redundancy. A deep CNN is then used to classify candidate image regions as changed or unchanged based on spatial and temporal contextual information from multiple time periods. The method is able to precisely localize and time stamp detected changes within a few months. Evaluation on Australian satellite imagery shows the approach can effectively detect fires and harvest areas.
The document summarizes the objectives and methodology of the SHARE project, which aims to harmonize seismic hazard assessment across Europe and the Mediterranean region. The project develops a community-based seismic hazard model through harmonizing data, modeling approaches, engineering requirements, and other factors. It presents several novel source models at the regional scale and uses a logic tree to incorporate epistemic uncertainty in ground motion predictions. Quality assurance is performed and the results will be disseminated by November 2012 to create a new reference hazard model for the region.
Unraveling Earthquake Dynamics Through Extreme-Scale Multi-Physics Simulations
ALICE GABRIEL (LUDWIG MAXIMILIAN UNIVERSITY OF MUNICH, GERMANY)
Earthquakes are highly non-linear multiscale problems, encapsulating geometry and rheology of faults within the Earth’s crust torn apart by propagating shear fracture and emanating seismic wave radiation.
This talk will focus on using physics-based scenarios, modern numerical methods and hardware specific optimizations to shed light on the dynamics, and severity, of earthquake behaviour. It will present the largest-scale dynamic earthquake rupture simulation to date, which models the 2004 Sumatra-Andaman event - an unexpected subduction zone earthquake which generated a rupture of over 1,500 km in length within the ocean floor followed by a series of devastating tsunamis.
The core components of the simulation software will be described, highlighting the benefits of strong collaborations between domain and computational scientists. Lastly, future directions in coupling the short-term elastodynamics phenomena to long-term tectonics and tsunami generation will be discussed.
https://pasc18.pasc-conference.org/program/keynote-presentations/
Robust 3D Geological Models: Hard Data is KeyFF Explore 3D
Understanding and incorporating 2D data, whether from surface field work or underground mine mapping, should always be the starting point of an integrated and coherent 3D geologic model, especially for areas with great geometric contrasts. Without this valuable data, 3D modelling is essentially performed with blinders on, and its absence results in a model that is too theory-driven, and lacks input from geologists and “real” field data.
Three-dimensional geologic models require complete, homogeneous and valid databases. The resulting 3D models are directly based on and rely on high-quality data. The data comprises both surface and underground observations. “Raw” or “hard” data should always be assigned more weight and act as rigid control points in 3D models. Hard data should always be distinguishable from interpreted data in 3D models. Investing the necessary time to learn how to homogenize and structure raw data in a rigorous way will be paid back during the 3D interpretation process.
Once 3D models are completed, they should be used as an exploration tool, populating their cells with user-chosen properties. Both quantitative and qualitative properties can be interpolated throughout the cells of the 3D model for further querying and questioning. Thus, the extra benefit of 3D map models is their use as dynamic interactive tools to help define new mineral exploration targets at depth.
A 3D map model is not a goal but a tool that should be dynamic, modified, questioned, shared and updated. Its future usefulness is determined by how well it can be utilized by a multi-disciplinary team of geologists, geophysicists, geochemists, engineers, metallurgists and environmental experts.
Exploring DEM error with geographically weighted regressionGeoCommunity
Michal Gallay, Christopher D. Lloyd, Jennifer McKinley: Exploring DEM error with geographically weighted regression (poster), 9th International Symposium GIS Ostrava, VŠB – Technical Univerzity of Ostrava, from 23rd to 25th January 2012
Superflares in G, K and M Type Dwarfs from Kepler ObservationsSimon Candelaresi
We study the occurrence of superflares in G, K and M type dwarfs from lightcurves obtained by the Kepler mission. From that set 380 stars are detected with flares above 10^34 erg with 1690 such events. Various stellar parameters are considered here to find what circumstances are favorable for the occurrence of superflares. With decreasing effective temperature the flaring rate increases, as well as with an increase in the star's rotation rate. Star spots, which are a proxy for the magnetic field strength and dynamo activity, are seen more frequently in flaring stars and cover a larger proportion of the star's. surface. Using Ohmic dissipation as proxy for flare events, we perform simulations for a turbulent dynamo and find an increase of Ohmic dissipation as the dynamo number increases, in line with the observations.
This document shows a suggested approach to generate geological maps from satellite images, which represent a powerful tool to characterize an area prior fieldwork, saving energy and money during the process and using the free sources from NASA and the USGS. This exercise mapped a Colombian area called Media Luna Syncline
The document proposes an improved change vector analysis (ICVA) method to more accurately detect land cover changes using multi-temporal remote sensing data. ICVA combines traditional change vector analysis with a cross-correlogram spectral matching algorithm to 1) preliminarily detect changes, 2) identify and eliminate areas of vegetation variation rather than conversion using profile similarity analysis, and 3) determine actual land cover conversion types. The method is tested on MODIS EVI data for a region in China, achieving higher accuracy than traditional change vector analysis alone.
Fractional approaches in dielectric broadband spectroscopySimon Candelaresi
A fractional approach is used to describe data from dielectric spectroscopy for several glassy materials. Using composite fractional time evolution propagators a modified law for relaxation in glasses is found that describes the experimental data for broadband dielectric spectroscopy. Properties and solutions of some particular fractional differential equations (fDEQs) are investigated both for rational and irrational order. The laws of Debye, Kohlrausch, Cole-Cole, ColeDavidson and Havriliak-Negam
This document summarizes a GIS analysis of landslides near Rocky Mountain National Park, Colorado. The analysis used GIS tools to identify factors associated with slope mass movements after heavy rainfall in 2013. Results showed that landslides commonly had multiple source areas and lithologies. Specifically, south-facing slopes between 30-60 degrees, granite rock type, and slopes made up the largest percentages and areas of landslide sources. Proximity to rivers was not a major cause of landslides in this area.
This document presents a method for detecting slope failures caused by the 2009 Sumatra earthquake using TerraSAR-X (TSX) and TanDEM-X (TDX) satellite images. The researchers analyzed TSX images from before and after the earthquake to identify slope failures through changed backscatter and color composites. Slope failures were detected with 65% accuracy by combining TSX imagery with local incidence angles. Interferometry of TDX image pairs showed clear fringes in slope failure areas, allowing detection of 70-98% of failures. Field surveys confirmed expansions between 2010-2011 due to rainfall. Future work will calculate failure volumes from digital elevation models of fringe patterns.
This document compares the ability of Landsat 8 and Landsat 7 data to map geology and visualize lineaments in central Kenya. It finds that:
1) Principal component analysis and band ratio techniques on Landsat 8 and 7 data enhanced geological contrasts in the study area, which has both semi-arid and highland terrain.
2) Knowledge-based classification of principal component and band ratio outputs from both sensors produced geology maps superior to existing maps, which could be used to update them.
3) False color combinations of independent component analysis and principal component analysis bands on both datasets effectively visualized lineaments for structural geology analysis.
Remote Sensing Scene Classification by Unsupervised Representation LearningAatif Sohail
This document presents a proposed method for remote sensing scene classification using unsupervised representation learning. The method uses a weighted deconvolutional model to learn features from high spatial resolution images in an unsupervised manner. Spatial pyramid matching is then used to aggregate the learned features at multiple scales. The method is tested on two datasets and is shown to achieve good performance compared to state-of-the-art methods, demonstrating the effectiveness of combining weighted deconvolution and spatial pyramid matching for remote sensing scene classification.
Digital soil mapping of an Argentinian Pampa Region using structural equation...Marcos Angelini
Digital soil mapping (DSM) is a technique that has been broadly used during the last decade to produce soil properties/type maps. However, many soil scientist still prefer to use and create classical soil maps. Although there may be many reasons for this, one of the critical drawback of DSM is that interrelationships between soil properties are not captured, which are essential to understand the soil dynamics. In this presentation I will show you how we can deal with this problem even using DSM.
This document introduces the TechnoTectonics methodology for identifying prospective mineral and hydrocarbon targets. It analyzes satellite images, maps, and other geospatial data to identify lineaments and intersections that often indicate mineralization. The methodology was successfully tested on blind areas, locating known deposits. Customers have been impressed with results that identified new prospective zones. The methodology integrates lineament analysis with geological, geophysical and geochemical data to create prospective maps and recommend highest priority targets for exploration.
This document presents an interactive editing scheme for crowd animation that allows animators to directly manipulate existing group motion data. A novel graph structure is used to represent group motions, with each vertex corresponding to an individual's location over time. Editing operations like repositioning individuals or stitching group motions are achieved by deforming this graph in a detail-preserving manner. The approach was demonstrated on two crowd scenes, allowing animators to selectively edit portions of simulated group motions to achieve desired results while maintaining natural speeds and formations. Limitations in handling large deformations or very large crowds are discussed, along with ideas for future work.
1. The document presents a study of rotational asymmetry in galaxies for both morphological and physical diagnostic purposes. It introduces two measures of asymmetry: A1, the existing measure, and A3, an alternative measure proposed using Spearman's correlation coefficient.
2. Methods describe existing measures of concentration, asymmetry, smoothness, and other morphological parameters. It then provides the equations for measuring A1 and introduces A3.
3. Results show correlations between A3 and concentration, and histograms comparing A1 and A3 in distinguishing galaxy types using a sample from existing galaxy catalogs. A3 proved more effective than A1 at distinguishing classes.
A DIFFUSION AND CLUSTERING-BASED APPROACH FOR FINDING COHERENT MOTIONS AND UN...Nexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Titan’s Topography and Shape at the Endof the Cassini MissionSérgio Sacani
With the conclusion of the Cassini mission, we present an updated topographic map of Titan,including all the available altimetry, SARtopo, and stereophotogrammetry topographic data sets availablefrom the mission. We use radial basis func tions to interpolate the sparse data set, which covers only ∼9%of Titan’s global area. The most notable updates to the topography include higher coverage of the polesof Titan, improved fits to the global shape, and a finer resolution of the global interpolation. We alsopresent a statistical analysis of the error in the derived products and perform a global minimization on aprofile-by-profile basis to account for observed biases in the input data set. We find a greater flattening ofTitan than measured, additional topographic rises in Titan’s southern hemisphere and better constrain thepossible locations of past and present liquids on Titan’s surface.
MODELING DAILY NET SHORTWAVE RADIATION OVER RUGGED SURFACES USING MODIS ATMOS...grssieee
The document summarizes a study modeling daily net shortwave radiation (NSSR) over rugged surfaces using MODIS atmospheric products. It presents the background of the study, data and methodology used, results and discussion of model validation showing R-squared values between 0.71-0.93 for different locations, and sources of error. It concludes that terrain is the main factor attenuating NSSR under clear sky, while clouds play a greater role under cloudy sky, and moderately accurate NSSR maps over rugged surfaces can be produced using MODIS data.
The Effect of Topography on The Seismic WavefieldUlrika Miller
Active tectonic settings exhibit deformation manifested by earthquakes and by strong topographic variations due to erosion and uplift. Seismic waves from these earthquakes will clearly be influenced by the topographic variations, but it is challenging to isolate the effects of topography from the effects of variations in 3D seismic wave-speed structure. Here we design a realistic numerical experiment to investigate the effects of topography on the regional seismic wavefield. We choose southern California as a target region. We perform several sets of 3D seismic wavefield simulations for 137 earthquake sources ranging from Mw 3.4 to 5.4. We test the influence of topography within a homogeneous model and a layered model, and for each model we establish the shortest resolvable period for each path between a source and station. By examining the path-specific shortest resolvable periods, we are able to make some generalizations. Topography has the strongest influence on surface waves, particularly for waveforms with travel paths that are nodal to the source radiation; in these directions, the wave amplitudes are relatively low, so any multi-pathing or scattering effects due to topography are more easily identified. The topographic effects are stronger for shorter periods and for longer paths. The influence of topography on the seismic waveforms arises from both the change in the topographic surface, but also the change in the wave-speed structure that arises from perturbing the topography for a 1D (or 3D) wave- speed model. These generalizations of the influence of topography provide a basis for further numerical investigations or for where to search within a regional set of observations for the topographic effects. Topography should be included within simulation-based seismic imaging applications, especially those at high frequencies, in order to eliminate the possibility of attributing topographically-caused waveforms to subsurface variations in structure.
Forest Change Detection in incomplete satellite images with deep neural networksAatif Sohail
This document discusses a method for detecting forest change using deep neural networks on incomplete satellite images. It proposes using a three-stage process to recover missing and cloudy data by exploiting temporal redundancy. A deep CNN is then used to classify candidate image regions as changed or unchanged based on spatial and temporal contextual information from multiple time periods. The method is able to precisely localize and time stamp detected changes within a few months. Evaluation on Australian satellite imagery shows the approach can effectively detect fires and harvest areas.
The document summarizes the objectives and methodology of the SHARE project, which aims to harmonize seismic hazard assessment across Europe and the Mediterranean region. The project develops a community-based seismic hazard model through harmonizing data, modeling approaches, engineering requirements, and other factors. It presents several novel source models at the regional scale and uses a logic tree to incorporate epistemic uncertainty in ground motion predictions. Quality assurance is performed and the results will be disseminated by November 2012 to create a new reference hazard model for the region.
Unraveling Earthquake Dynamics Through Extreme-Scale Multi-Physics Simulations
ALICE GABRIEL (LUDWIG MAXIMILIAN UNIVERSITY OF MUNICH, GERMANY)
Earthquakes are highly non-linear multiscale problems, encapsulating geometry and rheology of faults within the Earth’s crust torn apart by propagating shear fracture and emanating seismic wave radiation.
This talk will focus on using physics-based scenarios, modern numerical methods and hardware specific optimizations to shed light on the dynamics, and severity, of earthquake behaviour. It will present the largest-scale dynamic earthquake rupture simulation to date, which models the 2004 Sumatra-Andaman event - an unexpected subduction zone earthquake which generated a rupture of over 1,500 km in length within the ocean floor followed by a series of devastating tsunamis.
The core components of the simulation software will be described, highlighting the benefits of strong collaborations between domain and computational scientists. Lastly, future directions in coupling the short-term elastodynamics phenomena to long-term tectonics and tsunami generation will be discussed.
https://pasc18.pasc-conference.org/program/keynote-presentations/
Robust 3D Geological Models: Hard Data is KeyFF Explore 3D
Understanding and incorporating 2D data, whether from surface field work or underground mine mapping, should always be the starting point of an integrated and coherent 3D geologic model, especially for areas with great geometric contrasts. Without this valuable data, 3D modelling is essentially performed with blinders on, and its absence results in a model that is too theory-driven, and lacks input from geologists and “real” field data.
Three-dimensional geologic models require complete, homogeneous and valid databases. The resulting 3D models are directly based on and rely on high-quality data. The data comprises both surface and underground observations. “Raw” or “hard” data should always be assigned more weight and act as rigid control points in 3D models. Hard data should always be distinguishable from interpreted data in 3D models. Investing the necessary time to learn how to homogenize and structure raw data in a rigorous way will be paid back during the 3D interpretation process.
Once 3D models are completed, they should be used as an exploration tool, populating their cells with user-chosen properties. Both quantitative and qualitative properties can be interpolated throughout the cells of the 3D model for further querying and questioning. Thus, the extra benefit of 3D map models is their use as dynamic interactive tools to help define new mineral exploration targets at depth.
A 3D map model is not a goal but a tool that should be dynamic, modified, questioned, shared and updated. Its future usefulness is determined by how well it can be utilized by a multi-disciplinary team of geologists, geophysicists, geochemists, engineers, metallurgists and environmental experts.
ULTIMATE BEARING CAPACITY OF CIRCULAR FOOTING ON LAYERED SOILSVipin Joshi
The bearing capacity equations developed in literature considers homogenous soil below the base of the footing. But in actual practice soil mass is non homogenous & anisotropic. Therefore, while deducing the expression of the bearing capacity in case of circular footing resting over layered deposits, one has to take into account for a layered profile of soil. The paper presents the theoretical equation for the bearing capacity of a circular footing resting on layered soil profile using punching shear failure mechanism following projected area approach. The punching mechanism has been adopted while at “ultimate load” the mechanism of punching shear failure developed in dense sand has a parabolic shape when full mobilization of shear force into failure surface is taken into consideration otherwise punching failure is the actual failure while punching in the lower layer continues to a larger extent depending upon the loading at interface. For the analysis part frustum is considered to be a linearize curve for the actual shape of failure and a bearing capacity expression is deduced adopting certain assumptions. Stresses acting on the frustum have been analyzed and after series of integration bearing capacity equations is generalized. The proposed bearing capacity equation has been derived as a function of upper and lower layer properties. Finally the parametric study is carried out. The results of the parametric study were compared with the available equations in literature for the circular footing. Further, the results were validated with the experimental results reported in literature by other investigator.
This document summarizes a study that used wide-swath interferometric synthetic aperture radar (InSAR) time series to map large-scale ground deformation over the Danakil depression in the Afar region of Ethiopia between 2006 and 2009. The time series analysis revealed deformation signals consistent with magmatic intrusions and inflation/deflation of volcanic centers. Modeling of the deformation supported deep magma intrusion beneath the central segment and lateral magma propagation and chamber inflation beneath Dabbahu volcano in the northern segment. The study demonstrated the potential of wide-swath InSAR time series for mapping long-wavelength ground deformation over large areas.
This document summarizes a study that used wide-swath interferometric synthetic aperture radar (InSAR) time series to map large-scale ground deformation over the Danakil depression in the Afar region of Ethiopia between 2006 and 2009. The time series analysis revealed deformation signals consistent with magmatic intrusions and inflation/deflation of volcanic centers. Modeling of the deformation supported deep magma intrusion beneath the central segment and lateral magma propagation and chamber inflation beneath Dabbahu volcano in the northern segment. The study demonstrated the potential of wide-swath InSAR time series for mapping long-wavelength ground deformation over large areas.
Yasir Bashir is proposing research on using wave theory to improve seismic imaging of fractured basement in the Malay Basin. The research will develop and apply depth migration algorithms to better define faults and fractures in the heterogeneous basement. Preliminary results show wave equation migration provides better illumination of dipping layers than Kirchhoff PSTM. The research aims to identify the best methods for imaging complex fractured basement and boundaries poorly resolved by current techniques.
Modellistica Lagrangiana in ISAC Torino - risultati e nuovi sviluppiARIANET
The MicroSwift-Spray modelling system has been validated against experimental test cases from wind tunnel and field trials, showing it can reliably simulate particle dispersion. The MILORD long-range dispersion model was revived and applied to simulate the Fukushima nuclear accident and identify the source of CO2 peaks observed at a high-altitude Italian site, with results comparable to other models. Reviving MILORD demonstrated its ability to simulate long-range and regional-scale dispersion, including backwards trajectories, using less computation than some other models.
Automated Extraction of Landforms from DEM DataBob MacMillan
Provides an overview of methods of automated landform classification
R. A. (Bob) MacMillan
Remote Predictive Mapping (RPM) Webinar
Government of Canada series
This document discusses the border between geothermal and volcanology research. It describes how geothermal power plants use volcanism to generate electricity and heating. It also discusses how volcanology research examines volcanoes, eruptions, and related hazards and risks. The document contrasts the different goals and timelines of the geothermal industry versus volcanology scientists. It advocates for more integration between the two fields to better understand underground structures and dynamics.
A global reference model of the lithosphere and upper mantle from joint inver...Sérgio Sacani
We present a new global model (LithoRef18) of the Earth's lithosphere and upper mantle obtained through joint inversion of multiple geophysical data sets and prior seismic, thermal and petrological information. The model includes estimates of crustal thickness and density, lithospheric thickness, depth-dependent density of the lithospheric mantle, lithospheric geotherms, and average density of the sublithospheric mantle down to 410 km depth. Our results for lithospheric thickness and sublithospheric density structure agree well with recent seismic tomography models. Comparisons with regional studies indicate improvements over previous global crustal models. Given the similarity with tomography models, LithoRef18 can be readily
1) Geostatistics provides tools to describe spatial continuity in data, estimate values at unsampled locations, and create multiple equiprobable subsurface models that account for uncertainty.
2) Variograms quantify the dissimilarity between data points over distance and are used to model spatial correlation.
3) Multiple scales of heterogeneity often exist, with longer correlation ranges related to large-scale variations and shorter ranges corresponding to smaller features.
Simplified macro-modelling approach for infill masonry wall in-plane and out-...openseesdays
This document summarizes research on modeling masonry infill walls in building frame structures. It describes a simplified macro-model approach using OpenSees that represents the in-plane and out-of-plane behavior of infill walls with strut elements. The model was calibrated based on experimental testing and can account for factors like openings. The document also presents an example case study application to a 3D reinforced concrete structure.
This document provides a 3-paragraph summary of the Empirical Green's Function Method for simulating strong ground motions from large earthquakes:
1) The Empirical Green's Function Method uses observed records from small earthquakes around a large earthquake's source area to simulate strong ground motions from the large earthquake. It accounts for complex wave propagation effects by incorporating observations. Parameters are estimated to scale up the small earthquake records to the large earthquake.
2) Key parameters - like the ratio of fault dimensions (N) and stress drops (C) between the large and small earthquakes - are estimated using spectral ratios of the earthquakes. A "filtering function" is used to adjust for differences in slip velocity time functions between
The document discusses using high-temperature superconductors (HTS) to enable electromagnetic deployment and support structures for spacecraft. It outlines previous NIAC studies on applications of superconductors and magnetic fields in space. The study aims to determine if HTS coils can be used to deploy, unfold and support spacecraft structures electromagnetically. This could enable larger, simpler and reconfigurable spacecraft with performance benefits like reduced mass and vibration isolation. Initial modeling shows the basic concept is feasible and example structures are being designed to further evaluate potential functions and impacts.
The lecture discusses a simulation study conducted for ESA that aimed to understand how the space debris environment is affected by key satellite and constellation parameters. The study used three evolutionary debris models to project the debris environment out to 2213 under different scenarios. A baseline case examined the impact of a 1080-satellite constellation in 20 orbital planes at 1100km altitude, with a 5-year lifetime and 90% post-mission disposal. The results of the simulation study would be covered in the next lecture.
This lecture discusses models for predicting the evolution of space debris. Simple "particles-in-a-box" models are transparent but lack accuracy and flexibility. More complex "evolutionary" models are needed to answer important questions by simulating individual objects and their interactions over time while accounting for uncertainties. Key properties like object types and orbits must be included to predict the effects of mitigation measures and new operations on the debris environment. Monte Carlo simulation is introduced as the approach used by evolutionary models.
Do Impact Craters on Mars Serve as a Good Proxy for the Age of The Martian Su...Christian Garvey
Poster presented at Durham University's Annual Earth Science Conference June 2015.
It was created as part of the Level 2 Geoinformatics module, and aims to demonstrate my skill with ArcGIS.
Similar to 20 years of 3D structural modelling - Laurent Ailleres (Monash University) (20)
Lutz Gross of the University of Queensland describes running geophysical inversion using e-script, an open source package based on PDEs and python. Other examples of what e-script can do are also shown, such as diffusion calculations, mantle convection, flow in porous media, seismo-electrics and much more!
This talk describes the process of generating a 3D model of the Kevitsa (Finland) ore body through wavelet transform of geochemistry obtained from drill core. Tesselation is then used to determine an appropriate scale of study for the data and 3D modelling. Subtle signals are identified, while the effects of analytical noise are dampened through this process. A genetic model for ore body formation was also formulated due to the success of the data filtering process.
Drawing on hands-on experience and theoretical contributions Serge will encourage attendees to consider innovative approaches to problems across the mining logic chain, with examples including:
• Porphyry unit modelling - Simulations
• Integrating grade control and resource drilling data – Co-kriging
• Modelling geotechnical characteristics - Directional Concentration
• Predicting metallurgical recovery & sampling – non additivity
Prof. David Lumley from the Centre of Energy Geoscience at the Uni. Of Western Australia presents his work on “Nonlinear Uncertainty Analysis: 4D Seismic reservoir monitoring”.
This document outlines the geostatistical workflow for modeling spatial variability in mineral properties. The workflow involves collecting real data, modeling the spatial variability, generating multiple realizations of the properties, and selecting realizations that produce reasonable results. It notes challenges in capturing real spatial variability and ensuring consistency across all modeled properties.
This presentation was presented by Florian Wellmann, Mark Lindsay and Mark Jessell and the recent EGU 2015 conference.
____
Geological models are widely used to represent the structural setting of the subsurface. Commonly, a single model is generated for a region, representing the best interpretation of the structural setting in the light of all available information. It is, however, widely accepted that a such created model still contains uncertainties. We hypothesise here that it is possible to transform a single kinematic model into a powerful predictive tool for scenario analysis and uncertainty quantification.
We extend the functionality of a kinematic structural and geophysical modelling approach, implemented in the software Noddy, with a set newly developed Python modules to expose, generalise and automate essential
parts of the modelling workflow. We show how these methods enable us to quickly generate and analyse different geological scenarios.
In addition to the geological model, Noddy also enables the direct calculation of geophysical fields of gravity and magnetics. We can use this functionality to compare the model to measured potential fields. With an example for a fold and thrust belt model, we show how to quickly estimate how changes in the model (due to parameter uncertainties, for example) affect the calculated gravity field in the model range.
Finally, we present the possibility to efficiently generate an ensemble of model realisations for predictive geomodel analysis with an application to a case study in the Gippsland Basin, Victoria. The results show that our
approach can successfully extend the functionality of traditional modelling methods with an additional layer of
predictive power towards an efficient evaluation of uncertainties in structural geological models.
The Geological Survey of Western Australia is developing 3D modeling capabilities to better integrate geological, geophysical, and geochemical data and increase knowledge of Western Australia's subsurface. A team is building and managing 3D structural models according to standards and stakeholder needs while collaborating with research institutions. Challenges include integrating diverse existing data, producing useful products, developing technical frameworks, and managing large volumes of data and models. The GSWA is focusing on regional 3D models of areas like the Yilgarn Craton and its margins through projects involving seismic surveys, gigapixel images, and physical property modeling. The goal is to provide updated digital 3D model packages of Western Australia annually.
PICO presentation at EGU 2014 about the use of measures from information theory to visualise uncertainty in kinematic structural models - and to estimate where additional data would help reduce uncertainties. Some nice counter-intuitive results ;-)
Addresses the burning questions in 3D modelling:
What is a good model?
What is its usability (beyond pretty pictures)?
How reproducible and extensible is it?
How can we separate data and interpretation?
How do we consider model uncertainty?
Features a Bayesian model space exploration of a synthetic case study
More from The University of Western Australia (16)
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
CLASS 12th CHEMISTRY SOLID STATE ppt (Animated)eitps1506
Description:
Dive into the fascinating realm of solid-state physics with our meticulously crafted online PowerPoint presentation. This immersive educational resource offers a comprehensive exploration of the fundamental concepts, theories, and applications within the realm of solid-state physics.
From crystalline structures to semiconductor devices, this presentation delves into the intricate principles governing the behavior of solids, providing clear explanations and illustrative examples to enhance understanding. Whether you're a student delving into the subject for the first time or a seasoned researcher seeking to deepen your knowledge, our presentation offers valuable insights and in-depth analyses to cater to various levels of expertise.
Key topics covered include:
Crystal Structures: Unravel the mysteries of crystalline arrangements and their significance in determining material properties.
Band Theory: Explore the electronic band structure of solids and understand how it influences their conductive properties.
Semiconductor Physics: Delve into the behavior of semiconductors, including doping, carrier transport, and device applications.
Magnetic Properties: Investigate the magnetic behavior of solids, including ferromagnetism, antiferromagnetism, and ferrimagnetism.
Optical Properties: Examine the interaction of light with solids, including absorption, reflection, and transmission phenomena.
With visually engaging slides, informative content, and interactive elements, our online PowerPoint presentation serves as a valuable resource for students, educators, and enthusiasts alike, facilitating a deeper understanding of the captivating world of solid-state physics. Explore the intricacies of solid-state materials and unlock the secrets behind their remarkable properties with our comprehensive presentation.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Travis Hills of MN is Making Clean Water Accessible to All Through High Flux ...Travis Hills MN
By harnessing the power of High Flux Vacuum Membrane Distillation, Travis Hills from MN envisions a future where clean and safe drinking water is accessible to all, regardless of geographical location or economic status.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdf
20 years of 3D structural modelling - Laurent Ailleres (Monash University)
1. School of Geosciences
20 years of 3D structural modelling.
Where are we at? Where next?
In alphabetical order:
Laurent Ailleres, Thomas Carmichael, Eric deKemp, Lachlan Grose, Mark Jessell, Vitaly Kolin,
Gautier Laurent, Mark Lindsay, Cheng Yu Chui
et al.,
2. 1994
2
My first voxet! Attempting to interpolate orientations of finite strain
ellipse in the French Alps and finite strain parameters
3. Seriously… a lot of explicit modelling was
done… and still is and still will be.
3
at multiple scale: from plate
scale on spheroid to the mine scale.
for different purposes:
green field exploration, near mine
exploration, hydrogeology, oil &
gas, research.
3D Model of Mt Isa Inlier, Qld,
Australia - After Murphy et al. (2008).
3D Model of Barwon Head aquifers, Nury et al., 2010
8. Structural 3D Modelling: the Falun Mine
•Model built from 35+ level maps (average spacing 25m)
and 50+ sections from historical underground mapping
•Aim was to understand the structural framework of the
deposit
10. 3D Structural Analysis
Late Fault
Main late shear zone
(SZ3)
Early, // mineralisation,
folded shear zone
(SZ1a)
Splaying off SZ1
probably during D3:
SZ3b
13. Explicit Modelling
•Non reproducible
•Labour intensive (only one model is built – no update please)
•Rarely utilised for anything more than visualisation
•Near impossible to play “what if” scenarios
•Highly uncertain and uncertainty cannot be characterised
14. Knowledge Data Data + Knowledge Data + Knowledge + Uncertainty
(My) Short history of 3D modelling
(strangely similar to Mark Jessell’s)
Perrouty et al., (2012; 2014)
Armit et al., (2012; 2014)
15. Implicit Modelling
• Reproducible
• Labour intensive - data need cleaning before modelling (nothing new!)
• Geological simulations are possible
• Allows uncertainty and geodiversity work
•Highly uncertain and uncertainty CAN be characterised
HOWEVER:
•Still does not use the full range of structural elements measured in
the field
16. Better use of field data Alsop et al., 1996
(Near Moine Thrust)
17. Why should we care about folding… and
more importantly ALL foliations
Next slide detail
18. Why should we care about folding… and
more importantly ALL foliations
Looking South into
Bermagui Heads,
stratigraphy dipping
steeply West
Next slide detail
22. Topography
Unless drawn or over determined by lots of structural measurements
(strike and dip), it is impossible to interpolate scalar field looking like
below, and this is with only 2 deformation events!!!
24. Implicit Modelling of Folds
Motivations:
– What the implicit packages can constrain:
• Value/orientation at a location
• Smooth variations (gradient orientation and norm)
few constraints on fold structural parameters
• In StructuralLab:
– Axial Surface: grad f axial surface
– Fold Axis : grad f fold axis direction
Yes, because we actually measure more in the field than
what is used
A good start
But can we use more ?
25. Axial surface field Foliation field
Foliation field :
– // axial surface
– Relatively consistent over the whole area
– Vergence helps a lot
Next antiform
is this way!S1
S0
26. General idea:
• Interpolate foliation field
• Interpolate vergence intensity (fold intensity ~ fold amplitude
and interlimb angle)
• Constrain “folded surface” orientation
• Is there a need for upscaling of bedding and structural data?
28. Model Comparison
Eastern Cross Section
Northern Cross Section
Modified model
Modified model
Initial Model
Initial Model
1389 Structural measurements 198 Structural “measurements”
15% of original data
29. Conclusion
How far have we come? Not that far until implicit modelling packages
appeared. Since then, amazing progress has been made especially for
layer cake type geometries (basins… mainly).
Complicated structures still have to be drawn…
However:
Where are we at? A very interesting spot! We could be the first group
of people to implement complete implementation of full structural
elements into implicit schemes.
Where next? Uncertainty!!! Geodiversity, test concepts on topologically
varying models
Fully constrained inversions including all input geological/structural
parameters as part of geology penalty function.
29
30. The Monash Group
Laurent Ailleres - concepts development & mentoring
Gautier Laurent – implicit folding & REED; including implementations
and concept development
Thomas Carmichael – PhD candidate, upscaling of structural data
Lachlan Grose – PhD candidate, uncertainty & geodiversity of poly-
deformed terranes
Yu Ching Chui (Ching) – Honours student, uncertainty & geodiversity of
poly-deformed terranes using simple Noddy
models
Vitaly Kolin – Honours student (to start in Aug), Uncertainty &
geodiversity of poly-deformed terranes,
applications to the Davenport terrane
30