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Design of Loss Functions for Solving Inverse Problems using Deep Learning
Solving inverse problems is a crucial task in several applications that strongly a ffect our daily lives, including multiple engineering fields, military operations, and/or energy production. There exist different methods ...
A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements
Borehole resistivity measurements are routinely employed to measure the electrical properties of rocks penetrated by a well and to quantify the hydrocarbon pore volume of a reservoir. Depending on the degree of geometrical ...
A Deep Neural Network as Surrogate Model for Forward Simulation of Borehole Resistivity Measurements
Inverse problems appear in multiple industrial applications. Solving such inverse problems require the repeated solution of the forward problem. This is the most time-consuming stage when employing inversion techniques, ...