📖 General Introduction 

Reservoir evaluation and mapping are fundamental processes in the oil and gas industry, serving as the cornerstone for exploration, development, and production strategies.

This 10-day intensive workshop is designed to provide participants with a comprehensive understanding of field-based reservoir evaluation techniques and mapping methodologies.

The program combines theoretical knowledge with practical applications, enabling participants to analyze geological and geophysical data, interpret well logs, and construct reservoir models that support strategic decision-making.

Through interactive sessions, case studies, and hands-on exercises, participants will gain valuable insights into modern technologies such as GIS, seismic surveys, and digital reservoir modeling.

The workshop emphasizes the integration of multidisciplinary data to create accurate reservoir maps and predictive models, ensuring participants are equipped with the skills required to contribute effectively to exploration and production projects.

By the end of the program, attendees will be able to apply advanced tools and techniques to evaluate reservoirs, optimize resource development, and enhance operational efficiency.

🎯 Target Audience

• Petroleum engineers
• Geologists and geophysicists
• Reservoir engineers
• Exploration and production specialists
• Graduate students in petroleum engineering and geosciences

🎯 Expected Objectives

• Understand the fundamentals of reservoir evaluation
• Master techniques for collecting and analyzing geological and geophysical data
• Develop skills in reservoir mapping using modern tools
• Build integrated reservoir models for decision-making
• Enhance analytical thinking and strategic planning in exploration projects

📚 Scientific Topics

Theme 1: Introduction to Reservoir Evaluation

Session 1: Fundamentals of Reservoirs

• Definition of oil and gas reservoirs
• Reservoir rock properties
• Importance of early evaluation

Session 2: Traditional Evaluation Methods

• Field testing techniques
• Core sample analysis
• Role of well logs

Theme 2: Field Data Collection

Session 1: Geological Data

• Topographic mapping
• Rock sampling
• Field surveys

Session 2: Geophysical Data

• Seismic surveys
• Electrical resistivity measurements
• Subsurface imaging techniques

Theme 3: Sample Analysis

Session 1: Core Samples

• Extraction methods
• Microscopic examination
• Porosity and permeability measurements

Session 2: Surface Samples

• Chemical analysis
• Mineralogical studies
• Physical property evaluation

Theme 4: Well Logging

Session 1: Types of Logs

• Electrical logs
• Nuclear logs
• Sonic logs

Session 2: Log Interpretation

• Reservoir boundaries
• Porosity estimation
• Hydrocarbon saturation

Theme 5: Reservoir Modeling

Session 1: Model Construction

• Data input
• Software selection
• Preliminary model setup

Session 2: Model Analysis

• Hypothesis testing
• Production simulation
• Model optimization

Theme 6: Reservoir Mapping

Session 1: Geological Maps

• Stratigraphic identification
• Structural mapping
• Fault analysis

Session 2: Geophysical Maps

• Seismic maps
• Magnetic maps
• Density maps

Theme 7: Modern Digital Techniques

Session 1: GIS Applications

• Data integration
• Spatial analysis
• Digital map production

Session 2: Artificial Intelligence in Evaluation

• Machine learning applications
• Big data analysis
• Production forecasting

Theme 8: Case Studies

Session 1: Oil Reservoir Study

• Data collection
• Result interpretation
• Lessons learned

Session 2: Gas Reservoir Study

• Property evaluation
• Mapping techniques
• Final recommendations

Theme 9: Economic Considerations

Session 1: Economic Feasibility

• Cost estimation
• Revenue forecasting
• Risk analysis

Session 2: Decision-Making

• Alternative comparison
• Strategy selection
• Outcome evaluation

Theme 10: Practical Applications

Session 1: Field Work

• Equipment preparation
• Survey execution
• Sample collection

Session 2: Final Analysis

• Data integration
• Report preparation
• Results presentation