[CCoE Notice] Dr. Jonas Tolke Seminar: Multiscale imaging integration and upscaling using machine Learning

[Grayson, Audrey A]

Dr. Jonas Tolke Seminar
Friday December 2 at 2:00pm
ERP 9 Room 124

Dr. Jonas Tölke is an expert in numerical simulation of multi-phase flow in porous media and formerly a professor at Technische Universtät Braunschweig in the Department of Civil Engineering. Dr. Tölke's research has focused on the design, the implementation and verification of simulation engines for multi-phase flow on Supercomputers and other high performance computing hardware. Before joining Ingrain he provided consulting services in the field of multi-phase simulations and worked as director for research software engineering at Exa Corp. Dr. Tölke holds PhD  in engineering from Technische Universität München and a "Venia Legendi" (Habilitation) in computational engineering in fluid mechanics from Technische Universität Braunschweig. He has published over 50 peer-reviewed papers and was guest editor for a special issue on multi-phase simulation in porous media.


Multiscale imaging integration and upscaling using machine Learning

We present an in-house developed technology that combines imaging techniques with machine learning to characterize multi-scale rock properties. The technology is based on the understanding that a rock consists of building blocks, i.e. fabrics, intermixed spatially at various scales. Detailed knowledge of all fabrics at its representative scale will lead to an improved characterization of the rock sample. A fabric possesses a set of properties, e.g. porosity, fraction of organic matter, pore size distribution and others. Unsupervised machine learning is used to learn about fabrics present in a sample. It also recommends optimum sub-sampling areas for smaller-scale higher resolution image acquisition and properties upscaling. The required resources in this approach are several orders of magnitude lower than acquiring mosaics of small-scale images covering a similar area at the large scale.
We apply the present technology to acquire images and characterize pore properties of rock samples from Eagle Ford, Marcellus and Wolfcamp. The rock sample area is approximately 0.5 x 0.5 [mm] with a resolution of 244 [nm]. Small-scale images with an area of approximately 30 x18 [micron] with a resolution of 10 [nm] are used to characterize pores within fabrics. The upscaled pore properties and fractions of organic matter are compared with that derived from small-scale mosaic covering a similar area. The comparison shows a very good agreement confirming the accuracy and reliability of the present technology.
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