Geographic Information System (GIS) & Remote Sensing10 DaysCertificate Included
Duration
10 Days
Mode
Online & Physical
Certificate
Included
Language
English
Course Overview
This course equips participants with the skills to apply GIS in oil and gas exploration, development, and production planning. Participants will learn to analyze geological, geophysical, and spatial data, identify prospective hydrocarbon zones, and support decision-making in exploration and field development. The course emphasizes hands-on exercises using real-world datasets, enabling participants to integrate GIS with exploration workflows, resource management, and risk assessment.
Secure enrollment • Professional certificate included
Learning Objectives
By the end of the course, participants will be able to:
1.Understand GIS applications in oil and gas exploration and production.
2.Acquire, manage, and preprocess geological, geophysical, and spatial datasets.
3.Map geological structures, reservoirs, and prospective hydrocarbon zones.
4.Integrate seismic, well, and remote sensing data for exploration analysis.
5.Conduct suitability and risk analysis for exploration and field development.
6.Analyze spatial patterns of oil and gas infrastructure, pipelines, and facilities.
7.Develop GIS-based decision support tools for exploration and production planning.
8.Visualize subsurface and surface data for reporting and stakeholder communication.
9.Support evidence-based decision-making in oil and gas operations.
10.Complete a capstone project demonstrating GIS-based oil and gas exploration analysis.
Course Content
Module 1:Introduction to GIS in Oil and Gas Exploration
Theory:
Overview of GIS applications in oil and gas exploration.
Key concepts: reservoirs, geological formations, and exploration workflows.
Role of GIS in exploration, production planning, and risk management.
Hands-on: Explore geological and exploration datasets.
Case Study: Mapping hydrocarbon prospects in a sedimentary basin.
Module 2:Data Acquisition and Management
Theory:
Sources of geological, geophysical, well, and remote sensing data.
Data formats, projections, and database management.
Data quality, validation, and preprocessing for exploration analysis.
Hands-on: Import, clean, and organize spatial and geological datasets.
Case Study: Integrating seismic, well, and topographic datasets for GIS analysis.
Module 3:Geological and Geophysical Mapping
Theory:
Mapping geological formations, faults, folds, and stratigraphy.
Interpreting geophysical and seismic data using GIS.
Identifying prospective hydrocarbon zones.
Hands-on: Generate maps showing geological structures and reservoirs.
Case Study: Mapping faults and anticlines for oil exploration targets.
Module 4:Integration of Seismic, Well, and Remote Sensing Data
Theory:
Combining seismic surveys, well logs, and remote sensing imagery.
3D GIS visualization of subsurface structures.
Data correlation and interpretation for exploration decision-making.
Hands-on: Integrate multi-source data for exploration analysis.
Case Study: Visualizing subsurface structures to identify potential drilling sites.
Module 5:Site Suitability and Risk Analysis
Theory:
Evaluating potential drilling sites based on geological, environmental, and operational factors.
GIS-based multi-criteria analysis for site selection.
Assessing exploration and production risks.
Hands-on: Conduct suitability and risk analysis using GIS tools.
Case Study: Selecting optimal drilling locations while minimizing environmental and operational risks.
Module 6:Infrastructure Mapping and Spatial Analysis
Theory:
Mapping pipelines, production facilities, storage, and transportation networks.
Spatial analysis of infrastructure connectivity and accessibility.
Identifying areas for infrastructure optimization and expansion.
Hands-on: Generate maps showing existing oil and gas infrastructure.
Case Study: Analyzing pipeline routes and facility locations for operational efficiency.
Module 7:Exploration and Production Planning Using GIS
Theory:
GIS applications in field development planning and resource allocation.
Integrating GIS with reservoir modeling and production forecasting.
Decision-making support for drilling campaigns and field operations.
Hands-on: Develop GIS-based plans for exploration and production workflows.
Case Study: Planning drilling campaigns using spatial data analysis.
Module 8:Visualization, Dashboards, and Reporting
Theory:
Creating interactive maps, dashboards, and reports for exploration and production planning.
Communicating geological and operational insights effectively.
Storytelling with GIS for stakeholder engagement and management decisions.
Hands-on: Develop dashboards summarizing exploration and production data.
Case Study: Presenting GIS-based exploration insights to management teams.
Module 9:Advanced GIS Tools and Automation
Theory:
Advanced GIS tools for exploration analysis, modeling, and visualization.
Automating data processing and spatial analysis workflows.
Cloud-based GIS solutions for large-scale oil and gas projects.
Hands-on: Implement advanced GIS tools and automated workflows.
Case Study: Automating subsurface mapping and drilling site selection.
Module 10:Capstone Project
Project Examples:
GIS-based mapping of potential hydrocarbon zones in a basin.
Integrated GIS workflow for exploration site selection and risk assessment.
Visualization and reporting of oil and gas infrastructure and field development plans.
Hands-on: Complete an end-to-end GIS workflow: data acquisition → geological & geophysical analysis → site selection → infrastructure mapping → reporting.
Presentation: Showcase project outcomes, GIS-based recommendations, and exploration strategies.
Who Should Attend
This course is ideal for Geologists, geophysicists, and petroleum engineers, GIS analysts, Project managers, Researchers and students, Oil and gas companies, regulatory agencies, and consultants in energy exploration.
