Acoustic impedance inversion via voting stacked regression (VStaR) algorithms

Acoustic impedance inversion via voting stacked regression (VStaR) algorithms

Abstract In this study, we focused on improving acoustic impedance (AI) in seismic exploration. AI is a crucial parameter estimated by multiplying the density of a material by the velocity of an acoustic wave passing through it. A low AI in sandstones and carbonates often indicates high porosity, wh...

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Bibliographic Details
Main Authors: Lutfi Mulyadi Surachman, Sanlin I. Kaka, Abdullatif Al-Shuhail
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Seismic attributes
Acoustic impedance
Hydrocarbon exploration
Base Models
Final estimators
3-fold cross-validation
Online Access:https://doi.org/10.1038/s41598-025-06332-y
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https://doi.org/10.1038/s41598-025-06332-y

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