Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach
Crossref DOI link: https://doi.org/10.1007/s40328-021-00337-5
Published Online: 2021-04-12
Published Print: 2021-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Essa, Khalid S. http://orcid.org/0000-0002-4183-9617
Abo-Ezz, Eid. R.
Text and Data Mining valid from 2021-04-12
Version of Record valid from 2021-04-12
Article History
Received: 5 March 2020
Accepted: 30 March 2021
First Online: 12 April 2021