Multi-parameter Inversion
Multi-Parameter Inversion is a computational inversion framework in subsurface imaging that jointly estimates multiple geophysical parameters from observed data by minimizing a multi-objective misfit function, distinguishing itself from single-parameter approaches through the simultaneous resolution of interdependent physical properties.
174
Publications
9.7K
Citations
490
Authors
230
Institutions
Publications per year
2017–2026
69
Parents
174
1–5 of 174
490
5
h-index
4
h-index
King Abdullah University of Science and Technology, Saudi Arabia
4 publications · 146 citations
4
h-index
3
h-index
3
h-index
1–5 of 490
230

Centre National de la Recherche Scientifique
Paris, France
8 h-index
26 publications
1K citations

China University of Petroleum, Beijing
Beijing, China
8 h-index
18 publications
407 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
7 h-index
18 publications
943 citations
China University of Petroleum, East China
Qingdao, China
5 h-index
17 publications
580 citations

University of Calgary
Calgary, Canada
5 h-index
16 publications
954 citations

Colorado School of Mines
Golden, United States
5 h-index
9 publications
576 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
5 h-index
17 publications
2K citations
Tongji University
Shanghai, China
5 h-index
17 publications
284 citations
1–8 of 230
GJI · 22 publications · 1.2K citations
18
h-index
23 publications · 1.2K citations
17
h-index
8 publications · 845 citations
8
h-index
6 publications · 99 citations
6
h-index
3 publications · 148 citations
3
h-index
1–5