COURSE OVERVIEW:

Seismic Quantitative Interpretation (QI) is a sophisticated workflow that integrates seismic, well log, and petrophysical data to estimate specific reservoir properties across a 3D volume. Unlike qualitative interpretation, which focuses on structural mapping and facies patterns, QI seeks to determine numerical values for parameters such as porosity, lithology, and fluid saturation. This process relies on the fundamental physics of wave propagation and the relationship between rock elastic properties and their geological characteristics.

The scope of this course covers the entire QI value chain, starting from rigorous seismic data conditioning to the final property prediction. Participants will learn how to bridge the gap between seismic amplitudes and rock physics, using AVO (Amplitude Variation with Offset) analysis and seismic inversion as primary engines. The course emphasizes the importance of a "rock-physics-consistent" approach, ensuring that any interpreted seismic anomaly can be explained by a physical change in the reservoir rock or the fluids contained within its pores.

Coverage includes advanced techniques for lithology and fluid discrimination using cross-plotting and Bayesian classification methods. The training explores how to transform elastic cubes into engineering-ready data for reservoir modeling and volumetric calculations. By mastering these quantitative tools, geoscientists can provide more accurate resource estimates, optimize well placement, and significantly reduce the uncertainty associated with exploration and field development projects.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Distinguish between qualitative seismic interpretation and quantitative reservoir characterization.
• Apply rock physics models to link seismic velocities with reservoir porosity and mineralogy.
• Perform seismic data conditioning to ensure amplitude preservation for QI workflows.
• Execute AVO analysis to identify potential hydrocarbon indicators in diverse settings.
• Utilize rock physics templates (RPT) for efficient fluid and lithology screening.
• Derive elastic parameters like P-impedance, S-impedance, and density from seismic data.
• Integrate petrophysical well log data with seismic volumes through proper calibration.
• Predict Net-to-Gross and effective porosity from inverted seismic properties.
• Implement Bayesian classification to generate probability maps of reservoir facies.
• Evaluate the impact of fluid substitution on seismic response using Gassmann’s equations.
• Quantify the uncertainty and non-uniqueness inherent in seismic property estimation.
• Use multi-attribute analysis to refine reservoir property distributions.
• Formulate a complete QI project plan for a greenfield or brownfield asset.

TARGET AUDIENCE:

Geophysicists, Petrophysicists, Reservoir Engineers, and Geoscientists who require a deeper understanding of quantitative seismic methods.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.