COURSE OVERVIEW:

Elastic Impedance (EI) represents a significant advancement in seismic reservoir characterization, providing a framework to calibrate seismic amplitude variations with offset to petrophysical properties. While acoustic impedance is limited to zero-offset scenarios, EI allows geoscientists to utilize the information contained in far-offset seismic data, which is often more sensitive to fluid content and lithology. This course explores the mathematical foundations and practical applications of EI in identifying subtle stratigraphic traps and characterizing reservoir quality.

Extended Elastic Impedance (EEI) further expands this concept by introducing a rotation angle that allows for the optimization of seismic data to correlate with specific petrophysical parameters such as Gamma Ray, Porosity, or Water Saturation. By projecting seismic attributes along a specific "chi" angle, interpreters can generate volumes that act as direct proxies for rock properties. This course details the workflow for determining the optimum rotation angles through cross-plot analysis and the subsequent inversion of these volumes for field-wide property prediction.

The scope of this training covers the entire workflow from well-log conditioning and petrophysical analysis to seismic data preparation and the final inversion process. Participants will learn how to integrate rock physics models with seismic inversion results to reduce exploration risk and improve well-placement strategies. By the end of the program, attendees will be equipped with the skills to perform advanced EEI workflows that bridge the gap between geophysical measurements and engineering requirements in complex subsurface environments.

COURSE OBJECTIVES:

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

• Identify the physical differences between Acoustic Impedance and Elastic Impedance.
• Formulate the linearized Zoeppritz equations that underpin EI and EEI theory.
• Analyze the relationship between seismic reflectivity and changes in elastic constants.
• Execute well-log conditioning and fluid substitution for EI calibration.
• Calculate the optimum "chi" angle for various petrophysical proxies using EEI.
• Interpret cross-plots of Vp/Vs versus Acoustic Impedance for lithology separation.
• Implement seismic data conditioning workflows for AVO-friendly inversion.
• Evaluate the sensitivity of EI volumes to variations in pore fluid and lithology.
• Construct low-frequency models for the inversion of EI and EEI volumes.
• Differentiate between deterministic and stochastic inversion approaches for EI.
• Apply EEI techniques to generate pseudo-Gamma Ray and pseudo-Porosity cubes.
• Quantify the uncertainty associated with seismic-derived petrophysical properties.
• Integrate inversion results into the static geological modeling workflow.

TARGET AUDIENCE: This course is designed for Geophysicists, Petrophysicists, and Reservoir Geologists who require advanced tools for quantitative seismic interpretation and reservoir property prediction.

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.