Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements

MH Rammay, S Alyaev… - Geophysical Journal …, 2022 - academic.oup.com
The advent of fast sensing technologies allow for real-time model updates in many
applications where the model parameters are uncertain. Once the observations are …

How do deep-learning framework versions affect the reproducibility of neural network models?

M Shahriari, R Ramler, L Fischer - Machine Learning and Knowledge …, 2022 - mdpi.com
In the last decade, industry's demand for deep learning (DL) has increased due to its high
performance in complex scenarios. Due to the DL method's complexity, experts and non …

Neural network architecture optimization using automated machine learning for borehole resistivity measurements

M Shahriari, D Pardo, S Kargaran… - Geophysical Journal …, 2023 - academic.oup.com
Deep neural networks (DNNs) offer a real-time solution for the inversion of borehole
resistivity measurements to approximate forward and inverse operators. Using extremely …

A robust inversion of logging-while-drilling responses based on deep neural network

G Zhu, M Gao, B Wang - Acta Geophysica, 2024 - Springer
Resistivity inversion plays a significant role in recent geological exploration, which can
obtain formation information through logging data. However, resistivity inversion faces …

Electromagnetic imaging and deep learning for transition to renewable energies: a technology review

O Castillo-Reyes, X Hu, B Wang, Y Wang… - Frontiers in Earth …, 2023 - frontiersin.org
Electromagnetic imaging is a technique that has been employed and perfected to
investigate the Earth subsurface over the past three decades. Besides the traditional …

A deep learning-assisted inversion for EM logging tool with tilted-coil antennas in VTI media

M Gao, G Zhu - Acta Geophysica, 2024 - Springer
An electromagnetic (EM) logging tool with tilted-coil antennas is essential in geoelectrical
resistivity measurement for its enhanced capability to discern formation dip, azimuth, and …