HampsonRussell Advanced Seismic Reservoir Characterization Workshop

Course Overview:

This course covers the HampsonRussell modules: AVO, Strata, LithoSI, Emerge, RockSI, and GeoSI, providing a comprehensive workflow for analyzing prestack seismic data. It begins with qualitative interpretation and progresses to high-resolution quantitative reservoir characterization, enabling geoscientists to assess uncertainty and generate P10, P50, and P90 reservoir volumes. While the primary focus is on prestack seismic data, post-stack data will also be discussed.

The course starts with log-based fluid replacement modeling, AVO modeling, and seismic data conditioning and analysis as foundational steps. Next, deterministic prestack and post-stack seismic inversion methods are covered under Strata, including well-to-seismic ties, wavelet estimation, low-frequency models, and inversion quality control (QC).

Using LithoSI, inversion results are transformed into facies models, applying Bayesian inference to generate the most probable facies and their probability volumes. Emerge introduces statistical and artificial neural network techniques to estimate reservoir properties—such as porosity and water saturation—by integrating log data, inversion results, and seismic attributes.

A solid understanding of the physical relationships between rock properties is essential for quantitative seismic interpretation. The RockSI section explores the application and development of advanced rock physics models. The course then transitions to stochastic inversion, providing methods to generate multiple high-resolution realizations of reservoir elastic properties and facies models. Under GeoSI, stochastic inversion techniques help characterize thin reservoirs beyond seismic resolution, quantify uncertainty, and produce P10, P50, and P90 elastic property and facies volumes.

Course Benefits:

• Gain expertise in seismic data conditioning, AVO modeling and analysis, rock physics modeling, and advanced techniques for estimating facies and reservoir properties. Learn how to create high-resolution reservoir models suitable for resolving thin layers and assess the uncertainty associated with estimated reservoir properties.
• The course is structured to teach both theory and practical exercises, providing hands-on experience with the operation of AVO, Strata, LithoSI, Emerge, RockSI, and GeoSI.

Duration: 5 days 
Software used: HampsonRussell AVO, Strata, LithoSI, Emerge, RockSI, GeoSI
Course Format: Instructor-led, workflow-based, Virtual
Prerequisites: No prior experience with HampsonRussell software is required for this workshop, though students will become familiar with the software's functionality through their participation.
Who should attend: Geophysicists, geologists, engineers, and technical staff interested in understanding the theory behind and applying advanced techniques for both qualitative and quantitative seismic reservoir characterization.
Language: English