Course Objectives:

This course provides an in-depth understanding of geophysical techniques used for reservoir characterization, enabling participants to integrate seismic and well data to improve reservoir description and decision-making. By the end of the course, participants will be able to:

• Understand geophysical principles and their application in reservoir characterization.
• Apply seismic data acquisition, processing, and interpretation techniques.
• Utilize seismic attributes, inversion, and geostatistics to enhance reservoir models.
• Integrate geophysical, geological, and petrophysical data for reservoir evaluation.
• Identify hydrocarbon-bearing zones, lithology variations, and fluid contacts.
• Assess reservoir heterogeneity, fractures, and structural complexities.
• Use advanced tools such as AI/ML applications and 4D seismic monitoring.

Target Audience

This course is designed for professionals working in geophysics, reservoir characterization, and field development. The target audience includes:

• Geophysicists & Seismic Interpreters – Analyzing seismic data for exploration and development.
• Reservoir & Petroleum Engineers – Integrating geophysical data for reservoir models.
• Geologists & Petrophysicists – Using seismic and well data for facies and lithology mapping.
• Data Scientists & AI Specialists – Working on geophysical applications in machine learning.
• Exploration & Development Teams – Decision-makers in field appraisal and production.