Water Analysis Interpretation Course Outline
Units of Measurement: Ion units and conversion, ion balance and accuracy, TDS, resistivity, density, refractive index.
Basics of Water Interpretation: Plotting a Stiff diagram, Fingerprinting.
Identifying a gel-chem mud: Gel-chem mud fingerprint, Na to Cl ratio.
Practical Suggestions Obtaining the best sample, recognizing contaminants.
Introduced Fluids: Corrosion inhibitor, KCl fluid, HCl acid effects, soda ash mud, K2SO4 mud.
Mixing: Mixing water and filtrate, water compatibility, scales.
Case studies: Three case studies using actual formation water analyses.
Introduction to QGIS Outline
Module 1: How to get around on the main map window; menus, toolbars, panels, drag and drop. Includes Coordinate Reference Systems, projections, toolbars, etc. Loading a raster file, pseudo-colors, hillshade.
Module 2: Loading and manipulating vector files.
Module 3: Working with the print composer to produce presentation maps.
Module 4: Loading GPS files and data from spreadsheets. Creating and editing shapefile layers. Buffering, clipping, and other methods of manipulating vector data. Adding svg icons to maps.
Depnding on the level of expertise of the client, some subjects of QGIS-2 can be added to QGIS-1
Module 5: Georeferencing. Adding airphotos, scanned maps, drone images, and other images and making them fit a projection.
Module 6: Further work analysing vector data. Using the vector calculator to add columns such as easting and northing, area, length, random numbers, etc.
Module 7: Extracting elevation data from a DEM to vector point data.
Module 8: More work with the print composer. Adding grids for lat. and long. And easting and northing on the same map, making nice legends, svg symbols, positioning components accurately, templates.
Module 9: Using the raster calculator to create slope, aspect, roughness, fill sinks. subtracting rasters to find flat spots (wetlands), subtracting NDVI's to determine diciduous vegetation areas. Extracting areas and converting these rasters to vectors.
Module 10: Using the Graphical Modeller to automate repeated processes, e.g. random points in a wetland, buffering stream, etc.
Module 11: Working with projections. Getting data from iMap, dataBC, Geogratis, base map providers, satellite images from NASA, ESA, others.
Module 12: Downloading satellite images, creating Normalized Difference Vegetation Indices, Normalized Burn Ratio, Semi-automatic Classification Plug-in (SCP).