COURSE OVERVIEW:

Seismic inversion methods and application focus on the sophisticated mathematical processes used to convert seismic reflection data into quantitative physical rock properties. While standard seismic processing provides an image of the subsurface interfaces, inversion reverses this effect to produce a model of the layers themselves, characterized by acoustic impedance and other elastic parameters. This shift from interface-based interpretation to volume-based property analysis is a cornerstone of modern quantitative interpretation and reservoir characterization.

The scope of this course details the technical distinction between deterministic, stochastic, and geostatistical inversion frameworks. Participants will explore the algorithmic foundations of model-based, sparse-spike, and colored inversion, learning how to select the appropriate method based on data quality and the specific geological problem at hand. The course emphasizes the importance of the low-frequency component, which is missing from seismic data but essential for achieving absolute property values that can be correlated with well logs.

Coverage includes the practical application of these methods in diverse tectonic and depositional settings. From exploration screening to detailed field development, the course demonstrates how inversion results are used to map porosity, lithology, and fluid content with higher precision than traditional seismic interpretation. By integrating geological constraints and petrophysical data, participants will learn to generate reliable subsurface models that significantly mitigate the risk involved in drilling and production planning.

COURSE OBJECTIVES:

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

• Master the mathematical theory of the forward and inverse seismic problems.
• Differentiate between post-stack and pre-stack inversion workflows and their outputs.
• Construct robust low-frequency models using well logs and structural frameworks.
• Apply deterministic inversion algorithms to produce stable acoustic impedance volumes.
• Utilize stochastic inversion to capture high-resolution details below seismic tuning.
• Evaluate the sensitivity of inversion results to wavelet estimation and phase errors.
• Perform simultaneous inversion to derive elastic constants like Vp/Vs and Poisson's Ratio.
• Implement band-limited and recursive inversion for rapid reconnaissance.
• Validate inversion outcomes through rigorous cross-plotting against petrophysical data.
• Mitigate the impact of seismic noise and acquisition footprints on inverted properties.
• Predict reservoir quality variations using inverted impedance and density volumes.
• Design a site-specific inversion strategy for clastic and carbonate reservoirs.
• Quantify the uncertainty in rock property predictions derived from inversion.

TARGET AUDIENCE:

Geophysicists, Quantitative Interpreters, Reservoir Characterization Specialists, and Geoscientists involved in asset evaluation.

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.