Geobody estimation by Bhattacharyya method utilizing nonlinear inverse modeling of magnetic data in Baba-Ali iron deposit, NW Iran

Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method

“…Recently, Wang et al (2021) used the dictionary learning algorithm to learn the formation characteristics of elastic parameters from logging data and then took this information as a prior constraint in AVO inversion (Guo et al, 2020;Waqas et al, 2023). Afterward, the sparse representation of the dictionary is employed as preliminary information to constrain AVO inversion (Hosseini Shoar et al, 2014;Kianoush et al, 2023d;Kianoush et al, 2023e;Kianoush et al, 2022a;Kianoush et al, 2023a;Pirhadi et al, 2023;Rashidi et al, 2020;Shakiba et al, 2018;Stork et al, 2011). Rock physics allows the connection between reservoir characteristics and elastic specifications.…”

“…A fully nonlinear inversion is applied to determine the causative body by inverting ground deformations and gravity variations due to pressure and mass anomalies implanted into an elastic medium. Impressive outcomes are in volcanic environments, where ground deformations by seismic sequences are associated with over-pressured magmatic geobodies (Camacho et al, 2020;Cammarata et al, 2018;Cintorrino et al, 2019;Dhawale et al, 2023;Kianoush et al, 2023e;Kianoush et al, 2024;Kianoush et al, 2023b;Kingson et al, 2023;Kwami et al, 2023;Palano et al, 2023;Pirhadi et al, 2023). In this research, a 1-D inversion problem, also known as the pseudo-well problem, has been investigated.…”