Authors: August Lau, Alfonso Gonzalez
Seismic imaging is challenged by vertical complexity (denseness) of too many reflections and lateral complexity (roughness) of surfaces. The end members are usually sparse (easy for imaging) or fractal (too complex for imaging). Is there a more unifying concept that stands between very simple to very complex? We will present a unified view of geometric complexity by introducing the concept of LG (locally dense but globally sparse). LG is not as simple as sparsity (far apart) but not as complex as fractal (denseness). We will use 2 examples to illustrate the concept.
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[v1] 2022-04-29 08:00:54
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