Data-driven acoustic impedance inversion with reweighted L1 norm sparsity constraint

Data-driven acoustic impedance inversion with reweighted L1 norm sparsity constraint

Acoustic impedance (AI) inversion is widely used in geophysics and reservoir prediction. But the traditional impedance inversion method cannot fully exploit the sparse characteristics of geological attributes. There are problems with multiplicity and low resolution. To solve this problem, a data-dri...

Full description

Bibliographic Details
Main Authors: Lian Zhao, Kai Lin, Xiaotao Wen, Yuqiang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Earth Science
Subjects:
impedance inversion
cross-correlation
reweight L1 norm
sparse constraint
local optimization
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1191077/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1191077/full

Similar Items