EGU26-232, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-232
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Physics informed convolutional neural network for TOC estimation in heterogeneous Barren Measures Shales
Nasif Ahmed Shaik1,2 and Nimisha Vedanti1,2
Nasif Ahmed Shaik and Nimisha Vedanti
  • 1CSIR- National Geophysical Research Institute, India (nasif.ngri20j@acsir.res.in)
  • 2Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201002, India

How to cite: Shaik, N. A. and Vedanti, N.: Physics informed convolutional neural network for TOC estimation in heterogeneous Barren Measures Shales, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-232, https://doi.org/10.5194/egusphere-egu26-232, 2026.

This abstract has been withdrawn after no-show on 11 Aug 2026.