Seismic Reservoir Characterization: An Earth Modeling Perspective
Three-dimensional numerical earth models play an increasingly important role in the petroleum industry to improve reservoir management and optimize hydrocarbon recovery. A key challenge for reservoir geoscientists is the quantitative integration of 3D and 4D seismic data into static and dynamic earth modeling workflows. Using a combination of theory and illustrations from real field studies, this two-day course reviews best practices and challenges for constraining earth models with seismic information and quantifying subsurface uncertainty.
The course objectives of the course are to: • Provide a practical introduction to techniques and workflows combining geostatistics and rock physics for the construction of seismic-constrained earth models; • Explain how to integrate quantitatively seismic and well data in earth modelling workflows and evaluate the associated geo-model uncertainty; • Describe the assumptions and technical limitations of current seismic-based geo-modeling techniques, thus helping reduce the black-box application of software tools; • Highlight the technical challenges and the road ahead for quantitative seismic interpretation.
The two-days course is divided into 7 modules, which provide an overview of basic concepts and their application to a number of case study examples involving both clastic, carbonate and unconventional reservoirs. • Module 1 — Introduction to geostatistics and earth modelling from seismic data. • Module 2 — Geostatistical interpolation techniques for seismic- guided 3-D earth models. • Module 3 — Stochastic simulation with seismic constraints. • Module 4 — Seismic lithology and fluid prediction using statistical techniques. • Module 5 — Stochastic inversion. • Module 6 — Statistical rock physics. • Module 7 — Simulator-to-Seismic workflow using 4-D earth models.
The course is aimed at geoscientists and engineers who are involved in the construction of earth models and who wish to learn about practical techniques for seismic data integration, combined use of seismic rock physics and geostatistics, uncertainty modeling and quantitative 4D interpretation. The course comes at a time when seismic-based earth modeling has become a key activity for integrated asset teams in the E&P industry. It should therefore be of interest to a broad audience, including technical specialists and managers, who are actively involved or supervise seismic-to-simulator activities. Basic knowledge of seismic inversion techniques and geostatistics is desirable.
Basic knowledge of seismic inversion techniques ad geostatistics is desirable
About the Instructor
Philippe Doyen, formerly VP R&D for the GeoConsulting business line of CGG, is now working as an independent consultant with worldwide responsibility for technology development in reservoir characterization. Prior to joining CGG in 2003, Philippe was Research Director for Schlumberger Information Solutions (SIS). He has also worked for more than 10 years with Western Geophysical / Western Atlas where he was R&D manager for reservoir geophysics. Philippe holds MS and PhD degrees in geophysics from Stanford University. He also holds a Mining Engineering degree (1st class) from the University of Louvain, Belgium. Philippe has been an Adjunct Professor at the University of Bergen, Norway, from 2006 to 2012. He was also part-time Geophysics Professor in the Mining Engineering department of the University of Louvain from 1989 to 1992. Philippe has over 25 years R&D, consulting and teaching experience in seismic reservoir characterization, geostatistics, geological modelling and rock physics. He has developed several patented methods for multi data integration and uncertainty quantification in reservoir modelling.