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Feasibility of moment tensor inversion for a single-well microseismic data using neural networks

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Feasibility of moment tensor inversion for a single-well microseismic data using neural networks

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Slides for my talk at GEO 2018 in Manama, Bahrain. We approach the problem of full moment tensor reconstruction when given data from a single well. Only 5 of 6 moment tensor components are resolved in isotropic medium (in anisotropic all 6 might be resolved in theory), whereas the 6th one is only approximated. We propose a data-driven approach to build a representation of all 6 components from amplitudes of first arrivals at 3-component geophone using a vanilla feed-forward multilayer perceptron.

Slides for my talk at GEO 2018 in Manama, Bahrain. We approach the problem of full moment tensor reconstruction when given data from a single well. Only 5 of 6 moment tensor components are resolved in isotropic medium (in anisotropic all 6 might be resolved in theory), whereas the 6th one is only approximated. We propose a data-driven approach to build a representation of all 6 components from amplitudes of first arrivals at 3-component geophone using a vanilla feed-forward multilayer perceptron.

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