Practical Depth Conversion and Depth Imaging for the Interpreter

Upon completion of this course, participants will be able to:

• Evaluate the compatibility of well and seismic data, and establish appropriate methods for linking and validating the database prior to depth conversion and depth imaging.
• Differentiate between ray-based and wave-equation-based depth migration algorithms, and understand the advantages and limitations of each approach for different geological settings.
• Appraise the form of velocity updating (tomography, full waveform inversion) that is most appropriate for the specific geological conditions, and establish a reasonable target velocity resolution for the tomographic updates.
• Implement an optimal approach for calibrating and integrating well control data with the depth-migrated seismic volumes, including quantifying depth conversion uncertainty through stochastic modeling.
• Analyse the stability and resolution of depth imaging results, and leverage advanced seismic attributes (e.g., elastic inversion, brittleness, azimuthal anisotropy) to enhance interpretations and mitigate risks.

This course is designed for professionals who involved in seismic time interpretation, time-to-depth conversion, and the planning and interpretation of depth-migration projects. Participants should have a basic understanding of seismic processing and interpretation. The course aims to provide these geoscientists with a comprehensive overview of the theoretical concepts, practical methodologies, quality control procedures, and applications of depth conversion and depth imaging techniques. This knowledge can then be applied to improve their interpretations, mitigate risks, and enhance reservoir characterization efforts.

• Exploration Geologists
• Geophysicists
• Petrophysicists
• Reservoir Engineers
• Seismic Interpreters
• Seismic Processors
• Seismic Technicians
• Seismic Analysts
• Seismic Specialists
• Seismic Data Analysts/Processors/Specialists

• Intermediate

Your expert course leader, based in U.S., is a highly experienced petroleum geoscientist specializing in geophysics and geology, with a career spanning over three decades. He began his professional journey as an Exploration Geophysicist in Denver, focusing on structural and stratigraphic plays in the Williston Basin. His expertise led him to roles such as Exploration Advisor in Houston, where he integrated multidisciplinary teams on global projects, and later as Manager of R&D at Schlumberger-WesternGeco, where he developed advanced depth imaging methods. Since 2003, he has worked on numerous domestic and international projects, mentoring companies in seismic imaging technologies and applying innovative machine-learning techniques for oil and gas reserve estimation. His contributions to the field are recognized through five U.S. patents and numerous publications, underscoring his impact on advancing geophysical methodologies.

Unlock the potential of your workforce with customized in-house training programs designed specifically for the energy sector. Our tailored, in-house courses not only enhance employee skills and engagement but also offer significant cost savings by eliminating travel expenses. Invest in your team’s success and achieve specific outcomes aligned with your organization’s goals through our expert training solutions. Request for further information regarding our on-site or in-house training opportunities.

To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.
Request for further information post training support and fees applicable