GeoSolutions has been involved into a number of projects, ranging from local administrations to global institutions, involving GeoNode deployments, customizations and enhancements. A gallery of projects and use cases will showcase the versatility and effectiveness of GeoNode, both as a standalone application and as a service component, for building secured geodata catalogs and web mapping services. Lastly, ongoing and future developments will be presented ranging from the upcoming integration with MapStore to the monitoring and analytics dashboard or the support for time series data.
Kelvin Soice has over 20 years of experience as a seismic data processor for Schlumberger Technology/WesternGeco Resources. He has extensive experience processing both land and marine seismic data from initial quality control through final migration and delivery for projects in North America, South America, Africa, Europe, and Asia. His skills include using Omega, Petrel, and other processing software to perform tasks like geometry handling, noise attenuation, velocity modeling, and final output generation while meeting client needs. He also contributes to software testing and workflow development.
Integration for Planet Satellite ImagerySafe Software
Planet offers up-to-date, high-quality images of the entire earth from 150+ satellites. Learn how to build automated workflows that integrate your data with these images in various ways. You’ll see how to transform and analyze bands, blend your data with the most up-to-date satellite images, and create cloud-based workflows to deliver images automatically. We’ll walk through an example that overlays live transit data on an up-to-date basemap with minimal cloud coverage. Plus, see what’s in beta for FME 2018 and Planet basemaps.
After emerging from the resources wilderness thanks to its world-class geology and industry-friendly government policies, South Australia is now a leader in Australian mining and hydrocarbon developments over the last decade.
In little more than a decade the State has gone from four operating mines to more than 20 and is rated Australia’s second most popular exploration destination.
With a comprehensive review of the Mining Act under way, the State’s attractiveness as a place for resources and energy investment is expected to be strengthened.
South Australia is now a leader in the exploration for next generation energy sources with companies such as Santos and BP leading the charge, while initiatives such as the Government’s Copper Strategy – designed to treble annual copper production to 1 mtpa – is set to establish the State as one of the world’s premier producers of the red metal.
In the energy space, uranium and nuclear energy is another area of keen interest, with the South Australian Government initiating a Royal Commission into Participation in the Nuclear Fuel Cycle in 2016.
The State has become synonymous with innovation, cutting-edge development and a remarkable rate of discovery. From uranium prospects, to geothermal energy and the buoyant hydrocarbons sector, South Australia is now a leader in the exploration for next generation energy sources.
With full support from the Department of State Development, the South Australian Resources and Energy Investment Conference will continue to showcase this burgeoning sector in 2017. From copper plays in the Gawler Craton, to iron ore and graphite developments on the Eyre Peninsula and the emergence of the State as a new hydrocarbon frontier, South Australia’s resources potential is at last being fully recognised.
The conference will feature the success stories and emerging players in the State from both minerals and oil and gas and will also tackle thorny industry issues such as infrastructure, corporate social responsibility and the future of the Woomera Prohibited Area.
NoR Webinar 2024 - Introduction to GEP.pdfterradue
The Geohazards Thematic Exploitation Platform is an open and collaborative platform designed for the analysis of earthquakes, volcanoes and landslides, using satellite earth observations. It supports users monitoring terrain deformation and hazard prone land surfaces, with dedicated algorithm hosting solutions, data analytics and processing services.
The document discusses the current state of the graphene industry. It notes that most graphene produced is still at an R&D stage and not yet at mass production levels needed by the market. It also criticizes some companies for making misleading claims about their graphene products and production capabilities. The document suggests that some research institutions and companies may be more focused on obtaining grant funding rather than commercializing graphene technologies. It presents the company's method for producing functionalized graphene at an industrial scale of 100 tonnes per year.
The document discusses the current state of the graphene industry. It notes that most graphene produced is still at the R&D stage and not yet at mass production scales of hundreds or thousands of tons needed for commercialization. It also criticizes misleading claims by some companies about their graphene production capabilities and the quality of materials being sold as graphene. The document outlines one company's plasma process for producing functionalized graphene at an annual capacity of 100 tons and applications to be announced in June. It calls for more realism and accountability in the graphene industry to build credibility and avoid hype.
GeoSolutions has been involved into a number of projects, ranging from local administrations to global institutions, involving GeoNode deployments, customizations and enhancements. A gallery of projects and use cases will showcase the versatility and effectiveness of GeoNode, both as a standalone application and as a service component, for building secured geodata catalogs and web mapping services. Lastly, ongoing and future developments will be presented ranging from the upcoming integration with MapStore to the monitoring and analytics dashboard or the support for time series data.
Kelvin Soice has over 20 years of experience as a seismic data processor for Schlumberger Technology/WesternGeco Resources. He has extensive experience processing both land and marine seismic data from initial quality control through final migration and delivery for projects in North America, South America, Africa, Europe, and Asia. His skills include using Omega, Petrel, and other processing software to perform tasks like geometry handling, noise attenuation, velocity modeling, and final output generation while meeting client needs. He also contributes to software testing and workflow development.
Integration for Planet Satellite ImagerySafe Software
Planet offers up-to-date, high-quality images of the entire earth from 150+ satellites. Learn how to build automated workflows that integrate your data with these images in various ways. You’ll see how to transform and analyze bands, blend your data with the most up-to-date satellite images, and create cloud-based workflows to deliver images automatically. We’ll walk through an example that overlays live transit data on an up-to-date basemap with minimal cloud coverage. Plus, see what’s in beta for FME 2018 and Planet basemaps.
After emerging from the resources wilderness thanks to its world-class geology and industry-friendly government policies, South Australia is now a leader in Australian mining and hydrocarbon developments over the last decade.
In little more than a decade the State has gone from four operating mines to more than 20 and is rated Australia’s second most popular exploration destination.
With a comprehensive review of the Mining Act under way, the State’s attractiveness as a place for resources and energy investment is expected to be strengthened.
South Australia is now a leader in the exploration for next generation energy sources with companies such as Santos and BP leading the charge, while initiatives such as the Government’s Copper Strategy – designed to treble annual copper production to 1 mtpa – is set to establish the State as one of the world’s premier producers of the red metal.
In the energy space, uranium and nuclear energy is another area of keen interest, with the South Australian Government initiating a Royal Commission into Participation in the Nuclear Fuel Cycle in 2016.
The State has become synonymous with innovation, cutting-edge development and a remarkable rate of discovery. From uranium prospects, to geothermal energy and the buoyant hydrocarbons sector, South Australia is now a leader in the exploration for next generation energy sources.
With full support from the Department of State Development, the South Australian Resources and Energy Investment Conference will continue to showcase this burgeoning sector in 2017. From copper plays in the Gawler Craton, to iron ore and graphite developments on the Eyre Peninsula and the emergence of the State as a new hydrocarbon frontier, South Australia’s resources potential is at last being fully recognised.
The conference will feature the success stories and emerging players in the State from both minerals and oil and gas and will also tackle thorny industry issues such as infrastructure, corporate social responsibility and the future of the Woomera Prohibited Area.
NoR Webinar 2024 - Introduction to GEP.pdfterradue
The Geohazards Thematic Exploitation Platform is an open and collaborative platform designed for the analysis of earthquakes, volcanoes and landslides, using satellite earth observations. It supports users monitoring terrain deformation and hazard prone land surfaces, with dedicated algorithm hosting solutions, data analytics and processing services.
The document discusses the current state of the graphene industry. It notes that most graphene produced is still at an R&D stage and not yet at mass production levels needed by the market. It also criticizes some companies for making misleading claims about their graphene products and production capabilities. The document suggests that some research institutions and companies may be more focused on obtaining grant funding rather than commercializing graphene technologies. It presents the company's method for producing functionalized graphene at an industrial scale of 100 tonnes per year.
The document discusses the current state of the graphene industry. It notes that most graphene produced is still at the R&D stage and not yet at mass production scales of hundreds or thousands of tons needed for commercialization. It also criticizes misleading claims by some companies about their graphene production capabilities and the quality of materials being sold as graphene. The document outlines one company's plasma process for producing functionalized graphene at an annual capacity of 100 tons and applications to be announced in June. It calls for more realism and accountability in the graphene industry to build credibility and avoid hype.
Progetto INNO ed esempi di applicazioni nel campo della GEOMATICA - P.CauSardegna Ricerche
La presentazione del Progetto INNO a cura di Pierluigi Cau, in occasione dell'evento "Bonifiche ambientali e potenzialità delle imprese" che si è tenuto a Cagliari il 7 novembre 2014.
Sharing the Openness of the Maps via FOSS4G and the WebHidenori Fujimura
This document discusses exporting Digital Japan, which provides open access to Japanese maps, via open source tools. It describes how Geographic Information Authority of Japan (GSI) shares map data through web services using tiled topographic map data and APIs. It outlines the evolution of GSI's Digital Japan Web system from 2003 to support open standards like OpenLayers. The document also explains how open source tools like TileMill, OpenLayers, and other web mapping libraries allow anyone to generate map tiles and publish web mapping applications. It provides an example of a workshop where participants used TileMill to publish a tile-based web map of Brazil within a few hours.
This document describes a prototype architecture for a citizen science application focused on water management. The architecture allows users to collect field data on water-related phenomena using mobile devices, access and share data online, and view data through web interfaces. It was developed by the Geomatics Laboratory at Politecnico di Milano and the Po River Basin Authority to engage the public in reporting issues in the Po River basin and increase water monitoring. The prototype utilizes free and open source software and collects data through a mobile app, then stores, publishes, and visualizes the data on a web map for users to view and interact with. Future work will expand public involvement in testing the app and improve the web interface.
OGC Update for State of Geospatial Tech at T-RexGeorge Percivall
An update on OGC activities in three time horizons: Now, Next and After Next. Finishing with how to keep updated on OGC activities.
Now
Recently approved OGC standards
Implementation of approved standards
Next
Standards Program
Innovation Program
After Next
Tech Forecast
How to keep in touch
Development and validation of a rapid urban scale dispersion modelling platform Scott Hamilton
Here we describe the development and of a new dispersion model (RapidAir®, Ricardo-AEA Ltd) designed as a decision support platform, and describe a recent validation exercise
in London, UK which was carried out by Strathclyde University, UK. Ricardo’s RapidAir model comprises several libraries written in the python programming language with functionality
specific to air quality analysis (e.g. handling time series observation data, array based processing of road emissions).
Development and validation of a rapid urban scale dispersion modelling platformScott Hamilton
Presented at the 16th Annual CMAS Conference, Chapel Hill, NC, October 23-25, 2017.
Authors:
Scott L. Hamilton*. Ricardo Energy and Environment, UK
Nicola Masey, Iain Beverland. University of Strathclyde, UK
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar.
In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
This document provides an overview of GeoNode, an open source geospatial content management system. It discusses GeoNode's capabilities for uploading and editing geospatial datasets, creating maps, and using granular permissions. The document outlines GeoNode's architecture including its use of Python/Django, GeoServer, PostgreSQL/PostGIS, and various client interfaces. It also discusses GeoNode's security features, containerization using Docker, its active developer community and adoption by organizations, past code sprints and summits, and the roadmap for future releases including Python 3 support and migrating to React.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar.
In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
This document provides a review of graphene, including its history, properties, synthesis, and potential applications. In 3 sentences:
Graphene is a single atom thick sheet of carbon atoms in a tightly packed hexagonal structure that was first isolated in 2004, has remarkable mechanical and electrical properties such as being very strong and highly conductive, and can be synthesized through various methods including chemical vapor deposition and exfoliation of graphite.
This document discusses using high resolution site characterization tools to efficiently characterize contaminated sites. It presents an overview of tools like membrane interface probes, hydraulic profiling tools, and on-site analytical methods that can provide high density geological, hydrogeological, and contaminant distribution data. Case studies demonstrate how these tools can be used to precisely delineate non-aqueous phase liquid sources and fluxes to inform remediation decisions. The document emphasizes that high resolution data allows conceptual site models to evolve dynamically during investigations and for remedies to target the most mobile contamination.
DSD-SEA 2023 Innovations in hydro modelling software - BrinkmanDeltares
Presentation by JanJaap Brinkman (Deltares - NUSDeltares) at the Seminar Models and decision-making in the wake of climate uncertainties, during the Deltares Software Days South-East Asia 2023. Wednesday, 22 February 2023, Singapore.
DSD-Kampala 2023 Modelling in a data scarce environment - the story of HydroM...Deltares
Presentation by Hélène Boisgontier (Deltares) at the Symposium Models and decision-making in the wake of climate uncertainties, during the Deltares Software Days - Kampala 2023 (DSD-Kampala 2023). Wednesday, 4 October 2023, Kampala, Uganda.
Flink Forward San Francisco 2018: Andrew Gao & Jeff Sharpe - "Finding Bad Ac...Flink Forward
Within fintech catching fraudsters is one of the primary opportunities for us to use streaming applications to apply ML models in real-time. This talk will be a review of our journey to bring fraud decisioning to our tellers at Capital One using Kafka, Flink and AWS Lambda. We will share our learnings and experiences to common problems such as custom windowing, breaking down a monolith app to small queryable state apps, feature engineering with Jython, dealing with back pressure from combining two disparate streams, model/feature validation in a regulatory environment, and running Flink jobs on Kubernetes.
UAV imagery processed through SfM software yields ortho mosaics that can be then analyzed further. Automated image alignment makes time series analysis possible. Find out how Geomatica can be used to help you get more from imagery. From LAS point cloud interpolation, image to image alignment, vegetation assessment, stockpile measurement, and more. Geomatica also includes a python powered development platform making it the best option to extend processing capability to develop operational applications.
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
The document summarizes a UNCCD Science Conference session on a new carbon tracking tool called the Carbon Benefits Project (CBP). The CBP provides online, free and user-friendly tools to estimate the carbon benefits of sustainable land management projects. It was tested on a case study in Mato Grosso State, Brazil where the detailed assessment tool estimated carbon benefits of 11.4 million tons of CO2e with lower uncertainty compared to 17.6 million tons from the simple assessment. The CBP aims to standardize carbon reporting for projects seeking carbon finance.
This document is a curriculum vitae for Costantino Pieroni, an Italian national with over 40 years of experience in drilling, completion, and workover operations on both offshore and onshore rigs around the world. He is currently available for a new position as a Drilling or Completion Superintendent. His career history includes several senior superintendent roles with major oil and gas companies, overseeing operations on land rigs, swamp rigs, jackups, tender rigs, semi-submersibles, and more. He has extensive technical experience in well drilling, completions, workovers, and production operations.
This curriculum vitae summarizes the work experience of Costantino Pieroni, an Italian drilling supervisor and manager with over 40 years of experience in onshore and offshore drilling, completion, and workover operations around the world. He has held senior superintendent and supervisor roles with major oil companies in Italy, Algeria, Nigeria, and Egypt. Pieroni has extensive experience managing drilling and completion programs, evaluating rig equipment, and solving operational challenges on various rig types, including land, swamp, jack-up, and semi-submersible rigs. He is proficient in Italian, English, and basic French.
Gestión de Riesgos en el Mapeo e Interpretacion Geologica.pdfAngel Rios
El mapeo geológico es quizá, la fuente de datos mas importante en el estudio geológico de una determinada zona en la que existan afloramientos. En todo proyecto, ya sea de exploración greenfield, brownfield o en una mina en producción, el mapeo es el primer elemento que nos ayuda a entender, complementar y actualizar la historia de los eventos geológicos.
Gastamos mucho dinero, justificadamente, en geofísica, geoquímica pero, ¿nos preocupamos realmente de obtener el mayor valor del mapeo geológico?
Sistematización de la Información Geológica en la UEA Yauli-VolcanAngel Rios
El objetivo principal de un departamento de Geología de Exploraciones es el de estimar recursos minerales en nuevos blancos de exploración identificados en base al análisis e interpretación de información geológica proveniente de diversas fuentes. En ese sentido es indispensable el gerenciamiento óptimo de esta información para obtener el mayor provecho de ella en el menor tiempo posible consiguiendo el éxito esperado en una campaña de exploración.
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Sharing the Openness of the Maps via FOSS4G and the WebHidenori Fujimura
This document discusses exporting Digital Japan, which provides open access to Japanese maps, via open source tools. It describes how Geographic Information Authority of Japan (GSI) shares map data through web services using tiled topographic map data and APIs. It outlines the evolution of GSI's Digital Japan Web system from 2003 to support open standards like OpenLayers. The document also explains how open source tools like TileMill, OpenLayers, and other web mapping libraries allow anyone to generate map tiles and publish web mapping applications. It provides an example of a workshop where participants used TileMill to publish a tile-based web map of Brazil within a few hours.
This document describes a prototype architecture for a citizen science application focused on water management. The architecture allows users to collect field data on water-related phenomena using mobile devices, access and share data online, and view data through web interfaces. It was developed by the Geomatics Laboratory at Politecnico di Milano and the Po River Basin Authority to engage the public in reporting issues in the Po River basin and increase water monitoring. The prototype utilizes free and open source software and collects data through a mobile app, then stores, publishes, and visualizes the data on a web map for users to view and interact with. Future work will expand public involvement in testing the app and improve the web interface.
OGC Update for State of Geospatial Tech at T-RexGeorge Percivall
An update on OGC activities in three time horizons: Now, Next and After Next. Finishing with how to keep updated on OGC activities.
Now
Recently approved OGC standards
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Next
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Tech Forecast
How to keep in touch
Development and validation of a rapid urban scale dispersion modelling platform Scott Hamilton
Here we describe the development and of a new dispersion model (RapidAir®, Ricardo-AEA Ltd) designed as a decision support platform, and describe a recent validation exercise
in London, UK which was carried out by Strathclyde University, UK. Ricardo’s RapidAir model comprises several libraries written in the python programming language with functionality
specific to air quality analysis (e.g. handling time series observation data, array based processing of road emissions).
Development and validation of a rapid urban scale dispersion modelling platformScott Hamilton
Presented at the 16th Annual CMAS Conference, Chapel Hill, NC, October 23-25, 2017.
Authors:
Scott L. Hamilton*. Ricardo Energy and Environment, UK
Nicola Masey, Iain Beverland. University of Strathclyde, UK
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar.
In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
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This document provides an overview of GeoNode, an open source geospatial content management system. It discusses GeoNode's capabilities for uploading and editing geospatial datasets, creating maps, and using granular permissions. The document outlines GeoNode's architecture including its use of Python/Django, GeoServer, PostgreSQL/PostGIS, and various client interfaces. It also discusses GeoNode's security features, containerization using Docker, its active developer community and adoption by organizations, past code sprints and summits, and the roadmap for future releases including Python 3 support and migrating to React.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar.
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Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
This document provides a review of graphene, including its history, properties, synthesis, and potential applications. In 3 sentences:
Graphene is a single atom thick sheet of carbon atoms in a tightly packed hexagonal structure that was first isolated in 2004, has remarkable mechanical and electrical properties such as being very strong and highly conductive, and can be synthesized through various methods including chemical vapor deposition and exfoliation of graphite.
This document discusses using high resolution site characterization tools to efficiently characterize contaminated sites. It presents an overview of tools like membrane interface probes, hydraulic profiling tools, and on-site analytical methods that can provide high density geological, hydrogeological, and contaminant distribution data. Case studies demonstrate how these tools can be used to precisely delineate non-aqueous phase liquid sources and fluxes to inform remediation decisions. The document emphasizes that high resolution data allows conceptual site models to evolve dynamically during investigations and for remedies to target the most mobile contamination.
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UAV imagery processed through SfM software yields ortho mosaics that can be then analyzed further. Automated image alignment makes time series analysis possible. Find out how Geomatica can be used to help you get more from imagery. From LAS point cloud interpolation, image to image alignment, vegetation assessment, stockpile measurement, and more. Geomatica also includes a python powered development platform making it the best option to extend processing capability to develop operational applications.
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Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
The document summarizes a UNCCD Science Conference session on a new carbon tracking tool called the Carbon Benefits Project (CBP). The CBP provides online, free and user-friendly tools to estimate the carbon benefits of sustainable land management projects. It was tested on a case study in Mato Grosso State, Brazil where the detailed assessment tool estimated carbon benefits of 11.4 million tons of CO2e with lower uncertainty compared to 17.6 million tons from the simple assessment. The CBP aims to standardize carbon reporting for projects seeking carbon finance.
This document is a curriculum vitae for Costantino Pieroni, an Italian national with over 40 years of experience in drilling, completion, and workover operations on both offshore and onshore rigs around the world. He is currently available for a new position as a Drilling or Completion Superintendent. His career history includes several senior superintendent roles with major oil and gas companies, overseeing operations on land rigs, swamp rigs, jackups, tender rigs, semi-submersibles, and more. He has extensive technical experience in well drilling, completions, workovers, and production operations.
This curriculum vitae summarizes the work experience of Costantino Pieroni, an Italian drilling supervisor and manager with over 40 years of experience in onshore and offshore drilling, completion, and workover operations around the world. He has held senior superintendent and supervisor roles with major oil companies in Italy, Algeria, Nigeria, and Egypt. Pieroni has extensive experience managing drilling and completion programs, evaluating rig equipment, and solving operational challenges on various rig types, including land, swamp, jack-up, and semi-submersible rigs. He is proficient in Italian, English, and basic French.
Similar to Leapfrog advances and concerns in Antamina, Peru.pdf (20)
Gestión de Riesgos en el Mapeo e Interpretacion Geologica.pdfAngel Rios
El mapeo geológico es quizá, la fuente de datos mas importante en el estudio geológico de una determinada zona en la que existan afloramientos. En todo proyecto, ya sea de exploración greenfield, brownfield o en una mina en producción, el mapeo es el primer elemento que nos ayuda a entender, complementar y actualizar la historia de los eventos geológicos.
Gastamos mucho dinero, justificadamente, en geofísica, geoquímica pero, ¿nos preocupamos realmente de obtener el mayor valor del mapeo geológico?
Sistematización de la Información Geológica en la UEA Yauli-VolcanAngel Rios
El objetivo principal de un departamento de Geología de Exploraciones es el de estimar recursos minerales en nuevos blancos de exploración identificados en base al análisis e interpretación de información geológica proveniente de diversas fuentes. En ese sentido es indispensable el gerenciamiento óptimo de esta información para obtener el mayor provecho de ella en el menor tiempo posible consiguiendo el éxito esperado en una campaña de exploración.
Con la finalidad de hacer más preciso el modelo geológico y más segura la toma de datos de los bancos de minado se decidió usar drones para tomar fotografías de los mismos y mediante el software de fotogrametría Pix4D generar la topografía tridimensional con una imagen compuesta georreferenciada que puedan ser exportadas al software Leapfrog donde sirvan como datos para mejorar el modelo geológico basado en sondajes y pozos de voladura.
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Este documento describe el uso de drones, fotogrametría y modelado 3D para realizar mapeo geológico de forma remota y segura. Se explica cómo se toman fotos aéreas de una zona de interés y luego se procesan en software para generar un modelo geológico tridimensional que permite medir estructuras como fallas y estratos. Se presenta un caso de estudio donde se mapeó una formación rocosa en Perú identificando fallas, diques y estratificación con sus respectivos azimuts e inclinaciones.
Minería de datos para establecer el control de calidad del logueo geológico e...Angel Rios
Antamina es un depósito polimetálico de cobre, zinc, plata, plomo, molibdeno y oro ubicado en el departamento de Ancash, Perú, sobre 4,000 m de elevación. El depósito se formó por la intrusión de stocks, de composición principalmente cuarzo-monzonítica, en las formaciones Jumasha y Celendín, lo que generó el desarrollo de un skarn gigante de aproximadamente 3.0 km de largo por 1.5 km de ancho.
Se han perforado más de un millón de metros de sondajes diamantinos, habiéndose identificado 179 variedades litológicas clasificadas según los componentes mineralógicos, tamaño de grano de los granates y grado de brechamiento. Al ser el logueo geológico una actividad subjetiva, basada en la experiencia y habilidad del geólogo, fue necesario establecer un mecanismo de control de calidad del logueo geológico basado en datos objetivos con la finalidad de identificar posibles errores en dicho proceso, para lo cual se evaluó el comportamiento de las diferentes unidades litológicas en relación con las 43 leyes reportadas en los análisis geoquímicos practicados a las muestras de sondajes.
Se realizó minería de datos para descubrir patrones de leyes por grupos de unidades litológicas y se encontró que el estroncio podía servir para diferenciar el exoskarn (valores menores a 50 ppm) del mármol y hornfels (valores mayores a 50 ppm), mientras que el calcio y potasio podían servir para diferenciar el intrusivo (valores menores a 2% y mayores a 0.15% respectivamente) del endoskarn (valores mayores a 2% y menores a 0.15% respectivamente). Con dicha definición se identificaron aquellos intervalos que requerían ser relogueados y se estableció un mecanismo de alertas por correo electrónico que son enviadas automáticamente cuando se reciben las leyes, de aquellos intervalos en los sondajes recientes, donde no se cumplen los patrones descritos anteriormente.
Reconstrucción Estratigráfica del desposito Antamina usando geoquímica, Machi...Angel Rios
Se han perforado más de un millón de metros de sondajes diamantinos, habiéndose obtenido cerca de 400,000 muestras analizadas por ICP, entre cuyos elementos se encuentra el calcio.
El 18% de estas muestras presentan leyes de calcio truncadas en 15%, 20%, 25% y 30%, que son los límites superiores de los rangos de lectura establecidos por los diferentes métodos y laboratorios empleados en la historia de Antamina, métodos cuya configuración de digestión de las muestras solo afectan a los carbonatos y sulfatos, mas no a los silicatos.
Tomando en consideración que las rocas encajonantes de Antamina son calizas, margas y limolitas, es de esperarse que las leyes de calcio puedan alcanzar e incluso superar el valor de 40%. Sin embargo, más del 60% de las muestras obtenidas de estas rocas, y sus equivalentes metamórficos, reportan leyes truncadas en alguno de los valores indicados líneas arriba.
Se recurrió a técnicas de Machine Learning para predecir estas leyes, empleándose la técnica de clasificación llamada árbol de decisiones. Se establecieron relaciones entre las leyes de calcio y las de los siguientes elementos: aluminio, bario, cobalto, cromo, hierro, potasio, magnesio, manganeso, sodio, níquel, fósforo, estroncio, titanio, vanadio y wolframio.
Analizando de forma espacial la información geoquímica, principalmente de calcio (leyes leídas y predichas), además de hierro y fósforo, resultantes de los ensayos de las muestras de sondajes y pozos de voladura, junto a las mallas texturadas 3D generadas fotogramétricamente a partir de las imágenes tomadas con un dron, los autores han logrado diferenciar los variados niveles estratigráficos utilizando técnicas de modelamiento implícito.
Adicionalmente, para el modelo de recursos, se ha podido estimar la ley de calcio utilizando en conjunto los valores leídos y los predichos.
Reconstrucción estratigráfica del área de Antamina usando geoquímica, drones,...Angel Rios
Antamina es un deposito polimetálico de cobre, zinc, plata y molibdeno ubicado en el departamento de Ancash, Perú, sobre 4,000 m de elevación. El depósito se formó por la intrusión de stocks, de composición principalmente cuarzo-monzonítica, en las formaciones Jumasha y Celendín, lo que generó el desarrollo de un skarn gigante de aproximadamente 3.0 km de largo por 1.5 km de ancho.
La formación Jumasha está compuesta principalmente por calizas, mientras que la formación Celendín está compuesta por calizas, margas y limolitas, además de múltiples gradaciones entre estas rocas, por lo que diferenciarlas en el proceso de logueo resulta frecuentemente difícil. Analizando de forma espacial la información geoquímica, principalmente calcio, hierro y fósforo, resultante de los ensayos de las muestras de sondajes y pozos de voladura, junto a las mallas texturadas 3D generadas fotogramétricamente a partir de las imágenes tomadas con un drone, el autor ha logrado diferenciar los variados niveles estratigráficos.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
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Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Leapfrog advances and concerns in Antamina, Peru.pdf
1. Leapfrog advances and concerns in
Antamina, Peru
Angel Rios
Compañía Minera Antamina
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2. Mine Location
The mine is located
approximately 240 Km N
of Lima. Access is via
public roads and the last
part on a newly
constructed mine road.
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3. Introduction
1. Antamina is a complex skarn of copper, zinc, silver, molybdenum
and bismuth formed by the intrusion of a quartz monzonite stock
in limestone. The dimensions of the deposit are about 3 Km long
in a NE direction by 1.5 km wide.
2. Geological model built in Leapfrog is used for Resource
Estimation for Long Term Planning updated every year.
3. 171 rocks logged by geologists (ROCKCODE).
4. 35 rock groups (ROCKCODE_NUMEQ) inside Acquire.
5. 20 geological units in blocks and composites.
6. High variability in grades require the use of “original” logging
width. Geological wireframes consider widths from 1.5m inclusive.
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4. Geology cross section
Description
Geological
Unit
Color
Intrusive 1
Intrusive out Antamina Skarn 2
Limestone 10
Hornfels 13
Diopside Hornfels 14
Marble 16
Diopside Marble 19
Brown Endoskarn 20
Pink Endoskarn 22
Diopside Pink Endoskarn 23
Brown green Exoskarn 31
Green Exoskarn 32
Diopside Exoskarn 34
Diopside Exoskarnout Antamina Skarn 35
Brown Wollastonite Exoskarn 36
Green Wollastonite Exoskarn 37
Enriched Zone in BrownEndoskarn 50
Enriched Zone in Exoskarn 51
Enriched Zone in Pink Endoskarn 52
Enriched Zone in Intrusive 53
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5. Antamina Geological Model
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6. Workflow Geological Modeling
Leapfrog Mining
Projects
Leapfrog Geo
Project
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7. Leapfrog Mining: Compositing
This step is not possible in Geo because we can not consider more than one
unit in the “Include window” and median filter algorithm does not exist
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8. Leapfrog Mining: Domains
• Same rock
logged, divided
spatially by
domains
according to
geological
interpretation.
• Domains are
used for
selecting data
for interpolation
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9. Leapfrog Mining: Edition with
polylines
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10. Leapfrog Mining: Interpolation using
Structural Trends
Complex Geometry
must use structural
trend
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11. Leapfrog Mining: Interpolation using
Structural Trends
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12. Leapfrog Mining: Interpolation using
Structural Trends
High surface
resolution
required
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13. Meshes interpolated from Leapfrog
Mining
1. Hardware used: 2 PCs, CPU 3.7Ghz, 16GB RAM, SSD, 2GB
Video.
2. 22 meshes interpolated using structural trend. Multires from 8 to 4
used.
3. Volume filter applied to meshes.
4. 70 meshes interpolated as veins.
5. All meshes edited with polylines.
6. Biggest mesh around 1 million vertices, 2.5 million triangles, 30
runs previous to final. Every run lasts 4 hours.
7. Meshes snapped to contact points.
8. Some cases self intersections or error message. (rerun and wait
hours).
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14. Leapfrog Geo: Boolean operations
Importing meshes Inserting Imported meshes into Geological Models
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15. Advances
1. Less misclassification against explicit modeling.
2. Dramatic reduction of time: 5 weeks with 1 geologist against 12
weeks with 6 geologists in explicit modeling.
3. Best interpretation at using real 3D visualization.
4. Structural trends can be used for building wireframes in complex
deposits.
5. Flexibility (new deterministic models can be performed).
6. Reduction of time and better decisions in planning holes.
7. Environmentally friendly. No more printed sections for
interpretation.
8. Better communication of Geological Model (Scenes and videos).
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16. Concerns
1. Need of more speed for interpolations.
2. Different algorithm between Mining and Geo.
3. Improvement of interpolation with structural trend beyond data
(artifacts).
4. Compositing algorithms (median filter) absent in Geo.
5. Domains absent in Geo.
6. 3D polylines in Geo are different to those in Mining.
7. Geo does not allow change variogram parameters for snapping
meshes to points.
8. Changes in wireframes beyond new data is added.
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17. ? Questions
Av. El Derby 055, Torre 1, Oficina 801. Santiago de Surco. Lima - Perú
Telf. (51-1) 217-3000 Fax (51-1) 217-3095
www.antamina.com
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