Loading Events

Event

posted on May 6, 2019

MDRU SC107: Information Management Solutions for the Modern Exploration World – 2.0 Advanced Data Analysis Techniques

Registration is now closed.  Please email mdruevents@eoas.ubc.ca if you have any further questions or would like to be added on the waitlist.


The mineral exploration industry is poised to extract more value from its datasets, from historical data to large modern digital datasets, but can be limited by its capacity to properly design and implement a data management strategy.  As the industry transitions from traditional hardcopy to digital, there is an excellent opportunity for companies to implement proper data management practices and gain a significant competitive advantage.

This is the second of a two-part series on information management in exploration.  The course will involve hands-on practical data analysis and reporting techniques that build on the data management practices covered in part one of this series. Participants will utilize real-world exploration data and software to review advanced data analysis techniques covering internal data audits, exploratory data analysis and reporting.

 

Preliminary Agenda

  1. Data Management Best Practices (0.5 hrs)
    • Review of key concepts covered in the previous course (MDRU SC 106)
  2. Analysis of a Standard Exploration Data Set (1.5 hrs)
    • Developing a systematic approach to cataloguing and analyzing your existing dataset in order to develop an efficient workflow for your team
  3. Relational Database Theory (1 hrs)
    • Key concepts required to manage a database
  4. Database Implementation (2 hrs)
    • Hands-on exercise designing and building your database
  5. Querying Your Data (1.5 hrs)
    • Harnessing the power of queries to get the most out of your data
  6. Viewing your Data (1 hrs)
    • Visualizing and analyzing your data through database connections

Details

Date:
November 25, 2019
Time:
7:30 am - 5:00 pm
Event Categories:
,

Prices

MDRU Corporate Members:
450 | 550 + GST
Non-Members:
550 + 650 + GST
Students:
195 + GST
MDRU Internal (RA/PDF/UBC Faculty):
195 + GST

Organizer

Jeanne Liu, MDRU Events
Email:
mdruevents@eoas.ubc.ca

Venue

C575 – UBC Robson Square
800 Robson Street
Vancouver, BC Vancouver Canada
+ Google Map

Additional Information

More Info:

Course includes lunch, coffee/tea & refreshments.


Rogue Geoscience is a group of professional geologists, field specialists and data scientists that have a passion for turning data into opportunity. Their mission is to ensure that clients have the highest-quality data available for their projects. With over 45 years of industry experience working with junior, mid-tier and major mining companies their knowledge covers an extensive range of commodities in a wide number of districts including base and precious metals, industrial minerals, uranium, REEs.


Special thanks to the following organization(s) for providing training software licenses for this short course.

 

     

Open Source Freeware:

 

 

Presenters

Chris Gallagher
President & CEO, Rogue Geoscience

Chris Gallagher is a structural geologist and President / CEO of Rogue Geoscience. He has been involved in mineral exploration since 2003 after completing his Masters in structural geology and tectonics at Carleton University. Since then he has been instrumental in developing a number of exploration methodologies and geologic data management systems utilized in the industry.

The past 15 years has exposed Chris to variety of deposit types in many different geologic terrains. This experience has provided him with the knowledge and expertise to develop a flexible data management system that aids in grassroots to advanced exploration programs. This system has continually evolved to accommodate most deposit types ranging from epithermal gold to SEDEX to porphyry systems.

Chris also has a strong interest in integrating technology with exploration and his recent focus has been on whole rock geochemistry, alteration mapping and the development of QAQC systems for oriented core work.

Jessica Borysenko
GIS Geologist and Chief Business Development Officer

Jessica is a GIS Geologist and Chief Business Development Officer of Rogue Geoscience. Jessica is registered as a professional Geoscientist in both Ontario and British Columbia.

Jessica earned her BSc in Geology in 2008 from Lakehead University and is currently working towards a Masters in GIS from Vancouver Island University. With over 15 years’ experience in the exploration and mining industry, Jessica began her career in 2004 with Marathon PGM as a junior geologist working in the Coldwell Complex of Northern Ontario where she quickly advanced to project geologist responsible for multiple drills and a large field crews. Since 2009 Jessica’s focus has been on data management and GIS systems. Her extensive experience in the field has given her the experience and background to look at data from a geologist’s perspective.

Grayson Clague
Data Scientist & CTO, Rogue Rogue Geoscience

Grayson started working in mineral exploration during the summer of 2006 collecting geochemical samples, and working in a core shack. After seeing the state of paper based data collection in the industry he immediately became interested in finding a solution. After enrolling at the University of British Columbia with a focus on mathematics and computer science, he continued working during the summers in mineral exploration, building data collection systems and databases. During this time he was exposed to a wide variety of geologic field work, from grass roots exploration to brown field drill programs.

Since then he has completed his Bachelors degree and applied his programming skills to problems in mineral exploration, building Android apps for field data collection, spatial databases using PostGIS, specialized analysis apps for analysis of oriented core, statistical analytics apps, and workflow automation.

He has a passion for extracting the maximum value from data, and continues to find novel strategies to accomplish this. Including streamlining data collection, and using modern data science techniques to find trends where traditional analytic techniques fall short.