Remote Sensing Techniques for Hydrocarbon Micro-Seepage Detection in Raman Mountain, Turkey

This study investigates the effectiveness of remote sensing (RS) techniques, specifically band ratio (BR) and principal component analysis (PCA), for detecting hydrocarbon micro-seepage in the Raman Mountain area of Turkey. Traditional methods for oil and gas exploration can be time-consuming and costly. RS offers a more efficient alternative, especially in inaccessible terrains. The research utilized Landsat-8 multi-spectral data to identify surface manifestations of hydrocarbon-induced soils and sediments, focusing on areas with heavy oil characteristics (low API gravity and low permeability). The analysis identified areas rich in clay and ferrous iron, which are indicators of hydrocarbon presence. These findings were correlated with existing well data, showing a significant connection between the identified surface anomalies and hydrocarbon deposits. The study successfully demonstrated that RS techniques can reliably detect micro-seepage, even in challenging geological conditions where conventional methods might struggle. This approach supports the integration of RS into hydrocarbon exploration strategies for cost savings and improved efficiency.

Curriculum

This program focuses on applying advanced remote sensing techniques for geological and resource exploration. The curriculum emphasizes practical application of data analysis methods.

1. Year 1
   • Remote Sensing Principles
   • Geographic Information Systems (GIS)
   • Digital Image Processing
   • Geochemistry of Hydrocarbons
2. Year 2
   • Advanced Remote Sensing Techniques (BR, PCA)
   • Hydrocarbon Exploration Methods
   • Geological Data Analysis
   • Master's Thesis/Project

Careers

Graduates are equipped for a range of roles in the energy sector and geological surveying.

• Geoscience Analyst
• Remote Sensing Specialist
• GIS Analyst
• Exploration Geologist
• Petroleum Geologist
• Environmental Consultant