ArcGIS Image Analysis for Petroleum

This course provides you with a general awareness of remote sensing and teaches you how to access and apply image and terrain data to oil and gas applications using Esri's ArcGIS Desktop software. When you complete this course you will have the knowledge and confidence to use remotely sensed data in your workflows and be able to more effectively liaise with remote sensing specialists

Data collected through the use of remote sensing techniques has many applications within the E&P sector. This course provides you with an awareness of:

• Data availability, sensor capability and remote sensing processes
• Image analysis techniques in ArcGIS
• Interpretation & sector application (Geoscience, HSE, Engineering)

CPD accreditation

Completing this course allows you to collect 4 AGI CPD points towards your professional development.

Pre-requisites

It is assumed that participants of this course have completed an introductory ArcGIS course or acquired equivalent knowledge. Although petroleum exploration and production (E&P) sector knowledge is not required, this course is geared towards helping participants use remotely sensed data in E&P workflows. 

Intended audience

Geoscience, engineering and HSE professionals and support staff who are going to be using remotely sensed data within GIS projects and need to be able to acquire the relevant ArcGIS skills and knowledge.

Features

• E&P geoscience focus
• Uses industry standard ArcGIS tools from Esri
• Short 1-day intensive course
• Hands-on learning by ‘doing’

Participants will

• Learn how to use Spatial Analyst extensions to import and process imagery within ArcGIS using Landsat 7 ETM+ imagery
• Carry out simple image processing to extract landcover for geomorphology, geology and geo-hazard mapping
• Create false colour composites to create image base maps
• Use principal components to extract landcover information and geology
• Use filters and functions to enhance imagery and raster data

Course outline

1. Image Pre-Processing in ArcGIS
2. Image Display Enhancement
3. Multispectral Image Enhancement (directed)
4. Microwave Imaging (active remote sensing)
5. Multispectral Image Classification (supervised & unsupervised)
6. Principal Component Analysis (PCA)
7. Image Filtering
8. Data Merging Techniques
9. Useful References