Geophysical inverse problems are key to subsurface imaging, from scales of a few metres in hydrogeophysics to hundreds of kilometres for deep earth tectonophysics. Thankfully, the techniques for converting surface data to the subsurface properties of interest, whether they be electromagnetic conductivity or seismic velocity, largely follow the same methodology. In fact, many problems in image infilling, finding a best fit flight line, or even finding the best interpretation horizon when clicking through a seismic section, can be cast as an inverse problem. This talk will walk you through this surprisingly common task, without avoiding the math, while not wallowing in it.
Anandaroop Ray
Anand is a mathematically inclined geophysicist, who despairs at ever knowing enough math or geophysics but continues to try nevertheless. He has arrived at this conclusion after working across industry, academia and government for a reasonably long time.
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