COURSE OVERVIEW:

Seismic modeling serves as the fundamental link between theoretical geological scenarios and observed geophysical responses. This course provides an in-depth exploration of the methodologies used to simulate seismic wave propagation through complex subsurface models, focusing on both pre-stack and post-stack domains. Participants will learn how to build accurate synthetic datasets that mimic real-world acquisition, allowing for the validation of structural and stratigraphic interpretations before drilling occurs.

The scope of this training covers a wide array of synthetic methods, from simple 1D convolutional models to complex 3D ray-tracing and full-wavefield simulations. By understanding the differences between pre-stack synthetic gathers and post-stack migrated sections, attendees will gain the ability to predict how changes in lithology, fluid content, and porosity manifest in seismic data. We will specifically examine how modeling helps in identifying AVO signatures and resolving thin-bed tuning effects that often confound standard interpretation.

Finally, the course addresses the practical tools and software workflows required to integrate petrophysical logs with geophysical models. Through the creation of "what-if" scenarios, geoscientists can test the sensitivity of seismic amplitudes to various geological uncertainties. This comprehensive coverage ensures that participants leave with the technical proficiency to use modeling as a risk-reduction tool throughout the exploration and field development lifecycle.

COURSE OBJECTIVES:

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

• Distinguish between the physical principles of pre-stack and post-stack seismic modeling.
• Construct high-fidelity 1D, 2D, and 3D synthetic models using well log data and geological cross-sections.
• Master the use of various wavelets and understand their impact on synthetic resolution.
• Analyze the effects of wave propagation including reflection, transmission, and diffraction.
• Simulate AVO responses to predict fluid presence and lithology variations in pre-stack data.
• Evaluate the impact of seismic acquisition geometry on the quality of synthetic images.
• Use ray-tracing methods to understand illumination gaps in complex structural settings.
• Perform sensitivity analysis on reservoir parameters to see their effect on seismic amplitudes.
• Compare synthetic gathers with real seismic gathers for precise seismic-to-well calibration.
• Identify seismic artifacts and multiples through forward modeling techniques.
• Optimize seismic processing parameters by testing them against known synthetic models.
• Quantify the limits of seismic resolution in the context of thin-bed reservoir detection.
• Integrate modeling results into the final prospect maturation and risk assessment report.

TARGET AUDIENCE:

Geophysicists, Seismic Processors, Quantitative Interpreters, and Reservoir Geologists seeking to enhance their modeling and synthetic generation skills.

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.