Browsing Computational Mathematics (CM) by Subject "real-time inversion"

Now showing items 1-3 of 3

A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements

Shahriari, M.; Pardo, D.; Picon, A.; Galdran, A.; Del Ser, J.; Torres-Verdin, C. (2020-04)

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 ...
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements

Shahriari, M.; Pardo, D.; Rivera, J.A.; Torres-Verdín, C.; Picon, A.; Ossandón, S.; Calo, V.M.; Del Ser, J. (2020-11)

Deep learning (DL) is a numerical method that approximates functions. Recently, its use has become attractive for the simulation and inversion of multiple problems in computational mechanics, including the inversion of ...
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements

Shahriari, M.; Rivera, J.A.; Pardo, D.; Torres-Verdín, C.; Picon, A.; Del Ser, J.; Ossandón, S.; Calo, V.M. (2020-05)

Deep learning (DL) is a numerical method that approximates functions. Recently, its use has become attractive for the simulation and inversion of multiple problems in computational mechanics, including the inversion of ...