A deep learning approach to the inversion of borehole resistivity measurements

DOI10.1007/S10596-019-09859-YzbMath1439.86025arXiv1810.04522OpenAlexW3016406005MaRDI QIDQ2192773

Yanyan Li

Publication date: 18 August 2020

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1810.04522

zbMATH Keywords

deep learningdeep neural networkslogging-while-drilling (LWD)real-time inversionresistivity measurementswell geosteering

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Inverse problems in geophysics (86A22) Potentials, prospecting (86A20)

Related Items (1)

A finite element based deep learning solver for parametric PDEs

Uses Software

• TensorFlow
• Keras
• GitHub

Cites Work

• Domain decomposition Fourier finite element method for the simulation of \(3D\) marine CSEM measurements
• Inverse Problem Theory and Methods for Model Parameter Estimation
• Computational Methods for Inverse Problems
• Deep Learning: An Introduction for Applied Mathematicians
• Neural networks and physical systems with emergent collective computational abilities.
• Unnamed Item

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