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Fault seal

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Faults play a significant role in subsurface fluid flow; faults can be leaking, sealing, or partially sealing. Sealing properties of fault rock are controlled by many parameters, each of which are uncertain. One part of my research is to predict fault seal capacity, i.e. hydrocarbon column height supported by the fault plane, and quantify its uncertainty. To achieve this goal I use a collection of statistical methods called Bayesian Evidential Learning (BEL), which helps not only to estimate fault seal capacity and quantify its uncertainty, but also to measure the sensitivity of individual fault seal parameters to resulting hydrocarbon column height. Another part of my research is to implement non-clastic rocks into fault seal methodology. The results of my research can be applied in assessment of depleted faulted reservoirs for CO2 storage.  

My area of study is the norwegian part of the Viking graben, the unique area where the faults play a major role in controlling Upper-Middle Jurassic oil and gas accumulations. 

In my research I use a combination of physics-based simulations (basin/geologic modeling) and predictive capabilities of statistical/machine learning methods.

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