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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples
Darío Graña, Leonardo Azevedo, Leandro de Figueiredo, et al.
Geophysics (2022) Vol. 87, Iss. 5, pp. M199-M216
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Applications of deep neural networks in exploration seismology: A technical survey
S. Mostafa Mousavi, Gregory C. Beroza, Tapan Mukerji, et al.
Geophysics (2023) Vol. 89, Iss. 1, pp. WA95-WA115
Closed Access | Times Cited: 37
Fast Bayesian Linearized Inversion With an Efficient Dimension Reduction Strategy
Bo Yu, Ying Shi, Hui Zhou, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-10
Closed Access | Times Cited: 11
FMG_INV, a Fast Multi-Gaussian Inversion Method Integrating Well-Log and Seismic Data
Ying Shi, Bo Yu, Hui Zhou, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Closed Access | Times Cited: 10
Seis2Rock: A Data‐Driven Approach to Direct Petrophysical Inversion of Pre‐Stack Seismic Data
Miguel Corrales, Hussein Hoteit, Matteo Ravasi
Earth and Space Science (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 5
Physics-informed W-Net GAN for the direct stochastic inversion of fullstack seismic data into facies models
Roberto Miele, Leonardo Azevedo
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Non-linear non-parametric geostatistical rock-physics inversion of elastic attributes for petrophysical properties using direct multivariate simulation
Leandro Passos de Figueiredo, Darío Graña, Bruno Barbosa Rodrigues, et al.
Computers & Geosciences (2025), pp. 105862-105862
Closed Access
Local conditioning in posterior sampling methods with example cases in subsurface inversion
Mina Spremić, Jo Eidsvik, Thomas Mejer Hansen
Computers & Geosciences (2025), pp. 105863-105863
Open Access
An improved stochastic inversion of P- to S-wave velocity ratio and compressional modulus based on fast Fourier transform moving average co-simulation
Chen Zhao, Jie Liang, Jiajia Zhang, et al.
Journal of Applied Geophysics (2025), pp. 105642-105642
Closed Access
Probabilistic characterization of subsurface stratigraphic configuration by merging borehole and geophysical data
Chao Zhao, Wenping Gong, C. Hsein Juang, et al.
Acta Geotechnica (2025)
Closed Access
Change of Measure for Bayesian Field Inversion with Hierarchical Hyperparameters Sampling
Nadège Polette, Olivier Le Maı̂tre, Pierre Sochala, et al.
Journal of Computational Physics (2025), pp. 113888-113888
Open Access
GANSim-surrogate: An integrated framework for stochastic conditional geomodelling
Suihong Song, Dongxiao Zhang, Tapan Mukerji, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129493-129493
Closed Access | Times Cited: 11
Developing deep learning methods for pre-stack seismic data inversion
Jianguo Song, Munezero Ntibahanana
Journal of Applied Geophysics (2024) Vol. 222, pp. 105336-105336
Closed Access | Times Cited: 3
Machine Learning Prediction of Permeability Distribution in the X Field Malay Basin Using Elastic Properties
Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, et al.
Results in Engineering (2024), pp. 103421-103421
Open Access | Times Cited: 3
Multitask Full Attention U-Net for Prestack Seismic Inversion
Xudong Liu, Bangyu Wu, Hui Yang
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 7
Probabilistic physics-informed neural network for seismic petrophysical inversion
Peng Li, Mingliang Liu, Motaz Alfarraj, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. M17-M32
Closed Access | Times Cited: 7
Cycle-consistent convolutional neural network for seismic impedance inversion: An application for high-resolution characterization of turbidites reservoirs
Fábio Júnior Damasceno Fernandes, Eberton Rodrigues de Oliveira Neto, Leonardo Teixeira, et al.
Geoenergy Science and Engineering (2024) Vol. 235, pp. 212709-212709
Closed Access | Times Cited: 2
Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows
Roberto Miele, Shiran Levy, Niklas Linde, et al.
Computers & Geosciences (2024) Vol. 188, pp. 105622-105622
Open Access | Times Cited: 2
A Deep Learning Framework for Petrophysical Properties Prediction in Gas Reservoirs
Jinyong Gui, Jianhu Gao, Shengjun Li, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 2
Deep physics-aware stochastic seismic inversion
Paula Yamada Bürkle, Leonardo Azevedo, Marley Vellasco
Geophysics (2022) Vol. 88, Iss. 1, pp. R11-R24
Closed Access | Times Cited: 9
A multi-scale blocking moving window algorithm for geostatistical seismic inversion
Xun Hu, Jiagen Hou, Yanshu Yin, et al.
Computers & Geosciences (2023) Vol. 173, pp. 105313-105313
Closed Access | Times Cited: 5
Bayesian joint inversion of seismic and electromagnetic data for reservoir litho-fluid facies including geophysical and petrophysical rock properties
João L. Silva Crepaldi, Leandro Passos de Figueiredo, Andrea Zerilli, et al.
Geophysics (2024) Vol. 89, Iss. 3, pp. K1-K16
Open Access | Times Cited: 1
A Bayesian Spatiotemporal Modeling Approach to the Inverse Heat Conduction Problem
Ridwan Olabiyi, Hari Pandey, Han Hu, et al.
ASME Journal of Heat and Mass Transfer (2024) Vol. 146, Iss. 9
Closed Access | Times Cited: 1
Ensemble smoother with fully convolutional VAE for seismic facies inversion
Rodrigo Exterkoetter, Leandro Passos de Figueiredo, Fernando Bordignon, et al.
Computers & Geosciences (2024) Vol. 189, pp. 105619-105619
Closed Access | Times Cited: 1
Optimized rejection sampling for estimating facies probabilities from seismic data
Patrick J. Connolly, Ben Dutton
The Leading Edge (2024) Vol. 43, Iss. 6, pp. 368-381
Closed Access | Times Cited: 1
Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent With Autoencoder Neural Network: An Application to Geologic Carbon Sequestration
Mingliang Liu, Darío Graña, Tapan Mukerji
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 7
Open Access | Times Cited: 1
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