Why Choose this Training Course

At the end of the quantitative seismic interpretation course participants will have a solid foundation in Quantitative Interpretation concepts, workflows and data requirements. They will be able to model the seismic response of alternative geological scenario’s, judge the feasibility of a QI project for a dataset in question and be able to avoid the most common pitfalls. And they can better liaise and collaborate with staff in neighbouring Geoscience (sub)disciplines. Whereas the course does not cover training in the hands-on use of common industry software tools for QI or inversion, it will provide the necessary foundation required for subsequent use of such tools in a professional manner.

The quantitative seismic interpretation course uses a mixture of lectures, practical exercises and case histories. Use of participants laptops for exercises and WIFI internet access in the classroom is recommended. Participants can bring own cases for discussion.

The quantitative seismic interpretation course should be customized to meet the specific background and needs of the participants: focus can be more on fundamentals or more on the advanced application. Topics can be tuned to the geological setting in which participants operate, and focus on those QI techniques that are most likely to be successful there. The course can be extended with extra time for coaching participants on the application of QI techniques in their own work environment.

We are also a proud member of the Energy Institute of UK.

Who Should Attend

• Geologists
• Geophysicists
• Petroleum engineers involved in the processing and interpretation of 2D and 3D seismic data.

Key Learning Objectives

• Grasp the fundamental principles of seismic wave propagation, rock and fluid physics, and their interaction to understand the basis of QI.
• Perform essential data preparation and conditioning, including log QC, seismic-to-well calibration, and wavelet extraction, to ensure data readiness for QI workflows.
• Apply advanced QI techniques such as AvO (Amplitude versus Offset) analysis and acoustic/elastic inversion to derive rock and fluid properties from seismic data.
• Integrate QI results into seismically constrained reservoir modeling to create more accurate and predictive subsurface models.
• Identify specific acquisition and processing requirements that are crucial for high-quality data suitable for robust quantitative interpretation.

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