Search Results for author: D. Pardo

Found 3 papers, 0 papers with code

Design of borehole resistivity measurement acquisition systems using deep learning

no code implementations12 Jan 2021 M. Shahriari, A. Hazra, D. Pardo

In addition, to guarantee an inverse solution, we need a carefully selected measurement acquisition system with a sufficient number of measurements.

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

no code implementations7 May 2020 M. Shahriari, D. Pardo, J. A. Rivera, C. Torres-Verdín, A. Picon, J. Del Ser, S. Ossandón, V. M. Calo

Recently, its use has become attractive for the simulation and inversion of multiple problems in computational mechanics, including the inversion of borehole logging measurements for oil and gas applications.

A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements

no code implementations5 Oct 2018 M. Shahriari, D. Pardo, A. Picón, A. Galdrán, J. Del Ser, C. Torres-Verdín

Once the DNN is built, we can perform the actual inversion of the field measurements in real time.

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