DLP Webinar with Per Avseth
From Cradle to Grave – The Rock Physics ‘Life Story’ of a Clastic Sediment, And Its significance in QI Studies
|Thursday 26 October 2017 - 10.00 AM (CEST)|
|1 hour lecture + 30 minutes Q&A|
|Free for EAGE members|
|Computer with Internet connection and audio/video capabilities|
EAGE webinars are live presentations with lecturers selected from the best presentations at EAGE Conferences. After the lecture, participants can interact with the instructor and ask questions. Joining a webinar is simple: all you need is a computer with Internet connection and audio/video capabilities (no software installation required). This service is complimentary for EAGE members and places are limited.
Taking into account sedimentary processes, diagenesis and tectonic events, we can predict rock physics and seismic velocities in areas with complex facies distribution and burial history. We include the effect of both mechanical and chemical compaction, as well as uplift episodes and corresponding erosion. We show how we can combine basin modeling principles and simulate porosity and rock texture evolution of sandstones during geological time, and combine these results with rock physics models in order to estimate tectonic uplifts and to predict expected seismic properties as a function of the burial history. The compaction trends of shales are also investigated, and here we rely more on empirical trends.
The resulting rock physics trends help us to better understand expected seismic contrasts for a given prospect, and to better evaluate the potential to discriminate hydrocarbons from seismic AVO data. The compaction trend controls the background slope in AVO crossplots and the low frequency model in simultaneous AVO inversion, whereas the contrast between sand and shales at a given depth controls the corresponding seismic reflectivities. The depth/burial dependent rock physics trends can be used to highlight seismic anomalies that deviates from the expected trends, whether these are associated to pressure, fluid or lithology anomalies. Furthermore, the link between rock physics and burial history allow us to generate depth-dependent probabilistic training data for the classification of AVO/seismic inversion data.
Examples from different areas are shown, focusing on the Norwegian Shelf/Barents Sea.
About the Lecturer
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