COURSE OVERVIEW:

Seismic inversion and attributes represent the essential bridge between seismic reflection data and quantitative rock properties. While standard seismic data shows the boundaries between rock layers, seismic inversion transforms these interface-based signals into interval-based properties such as acoustic impedance, porosity, and lithology. This transformation allows geoscientists to view the subsurface in a way that directly relates to the physical characteristics of the reservoir, significantly improving the accuracy of geological interpretations.

The scope of this course covers the diverse range of inversion techniques available, from post-stack deterministic methods to advanced pre-stack stochastic approaches. Participants will learn how to integrate well-log information with seismic volumes to build high-resolution models that respect both the vertical detail of wells and the lateral continuity of seismic data. The curriculum also delves into the extraction and application of seismic attributes, which are mathematical derivatives of the seismic wave used to highlight specific geological features like channels, faults, and fluid signatures.

Coverage includes the practical selection and calculation of geometric, spectral, and amplitude-based attributes. The course emphasizes how to combine these attributes with inverted data to perform multi-attribute analysis and machine learning-based facies classification. By the end of the program, participants will be equipped to provide more precise reservoir descriptions, reduce drilling risk, and enhance the overall understanding of reservoir heterogeneity and compartmentalization.

COURSE OBJECTIVES:

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

• Explain the theoretical difference between seismic reflectivity and seismic impedance.
• Perform a complete seismic inversion workflow from data conditioning to property mapping.
• Compare the benefits and limitations of post-stack and pre-stack inversion.
• Utilize simultaneous inversion to derive Vp/Vs ratios and Poisson’s Ratio.
• Apply colored inversion and band-limited techniques for rapid screening.
• Evaluate the quality and reliability of inversion results using blind-well tests.
• Categorize seismic attributes into physical, geometric, and statistical types.
• Use spectral decomposition to identify thin-bed stratigraphic features.
• Implement coherence and curvature attributes for structural and fault interpretation.
• Integrate seismic attributes for fluid identification and DHI analysis.
• Build low-frequency background models for absolute impedance inversion.
• Apply cross-plotting techniques to relate elastic properties to reservoir facies.
• Execute a multi-attribute classification workflow using neural networks.

TARGET AUDIENCE:

Geoscientists, Seismic Interpreters, Reservoir Engineers, and Petrophysicists involved in quantitative reservoir characterization and asset development.

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.