12-16-2024, 08:21 AM
Advanced Block Modelling And Resource Estimation
![[Image: 04eceeaa31ebe014ab18bc5922591b68.jpeg]](https://i124.fastpic.org/big/2024/1216/68/04eceeaa31ebe014ab18bc5922591b68.jpeg)
Last updated 6/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.39 GB | Duration: 2h 18m
From Drillholes to Resource classification
What you'll learn
Create a Geological database
Visualize drillholes in 3D and create custom legend
Analyse assay statistical data
Soft and hard boundary analysis
Grade Population count
Sample compositing
Calculating a reference global grade/tonnage estimate
Creating an empty block model
Defining a search ellipsoid
Grade interpolation
Resource reporting / Classification
Requirements
Basic mining engineering or Geology
Description
This block modelling course will teach you to create an efficient block model and estimate the grade and tonnage of a mineral resource using one of the best software in the mining industry which is Micromine. This advanced course outlines the main steps needed to perform the estimation and provides background information where needed to explain the underlying statistical concepts. This course Begins by statistically describing the data (mean, median, histograms.), and then we move to the steps required to construct a block model like Drillhole compositing, blank model creation and the classical Inverse Distance Weighted (IDW) interpolation for estimation. Lastly, we will classify the block model into Measured, Indicated, and Inferred categories based on the level of confidence in the assay data and how close the estimated block to the assay data and then report on the ore grade and tonnage within each category. Even that this course might look like it is for experienced geologists, mining engineers, or geoscientists in general it's delivered in an easy to follow methodology where beginners can follow along too. Any questions related to the course subject or the software used will be answered and more lectures will be added if needed. A part 2 of this course will be created soon that will get into geostatistical methods and variogram modelling.
Overview
Section 1: Assay Statistics
Lecture 1 Creating a Geological Database
Lecture 2 Assay Quick Statistical Summary
Lecture 3 Histogram and grade population
Lecture 4 Domaining and boundry analysis
Lecture 5 Volume report and domain assign
Lecture 6 Filtring populations
Lecture 7 Applying a top cut
Section 2: Block Modelling
Lecture 8 Drillhole compositing
Lecture 9 WireFrame Grade Tonnage
Lecture 10 Search Ellipsoide
Lecture 11 Blank Block model
Lecture 12 Block Volume validation
Lecture 13 Assay interpolation
Lecture 14 Ressource reporting
Geologist,Mining engineer,Geoscientist,GIS Students
Screenshots
![[Image: 728b947784ffae2b1bf18b3105ad188e.jpeg]](https://i124.fastpic.org/big/2024/1216/8e/728b947784ffae2b1bf18b3105ad188e.jpeg)
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Last updated 6/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.39 GB | Duration: 2h 18m
From Drillholes to Resource classification
What you'll learn
Create a Geological database
Visualize drillholes in 3D and create custom legend
Analyse assay statistical data
Soft and hard boundary analysis
Grade Population count
Sample compositing
Calculating a reference global grade/tonnage estimate
Creating an empty block model
Defining a search ellipsoid
Grade interpolation
Resource reporting / Classification
Requirements
Basic mining engineering or Geology
Description
This block modelling course will teach you to create an efficient block model and estimate the grade and tonnage of a mineral resource using one of the best software in the mining industry which is Micromine. This advanced course outlines the main steps needed to perform the estimation and provides background information where needed to explain the underlying statistical concepts. This course Begins by statistically describing the data (mean, median, histograms.), and then we move to the steps required to construct a block model like Drillhole compositing, blank model creation and the classical Inverse Distance Weighted (IDW) interpolation for estimation. Lastly, we will classify the block model into Measured, Indicated, and Inferred categories based on the level of confidence in the assay data and how close the estimated block to the assay data and then report on the ore grade and tonnage within each category. Even that this course might look like it is for experienced geologists, mining engineers, or geoscientists in general it's delivered in an easy to follow methodology where beginners can follow along too. Any questions related to the course subject or the software used will be answered and more lectures will be added if needed. A part 2 of this course will be created soon that will get into geostatistical methods and variogram modelling.
Overview
Section 1: Assay Statistics
Lecture 1 Creating a Geological Database
Lecture 2 Assay Quick Statistical Summary
Lecture 3 Histogram and grade population
Lecture 4 Domaining and boundry analysis
Lecture 5 Volume report and domain assign
Lecture 6 Filtring populations
Lecture 7 Applying a top cut
Section 2: Block Modelling
Lecture 8 Drillhole compositing
Lecture 9 WireFrame Grade Tonnage
Lecture 10 Search Ellipsoide
Lecture 11 Blank Block model
Lecture 12 Block Volume validation
Lecture 13 Assay interpolation
Lecture 14 Ressource reporting
Geologist,Mining engineer,Geoscientist,GIS Students
Screenshots
Say "Thank You"
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