30 citations as recorded by crossref.

1. A DFA approach in well-logs for the identification of facies associations E. Hernandez-Martinez et al. https://doi.org/10.1016/j.physa.2013.07.052
2. Data-driven machine learning approaches for precise lithofacies identification in complex geological environments M. Ali et al. https://doi.org/10.1080/10095020.2024.2405635
3. Wavelet transform analysis for lithological characteristics identification in siliciclastic oil fields T. Perez-Muñoz et al. https://doi.org/10.1016/j.jappgeo.2013.09.010
4. Machine learning assisted lithology prediction using geophysical logs: A case study from Cambay basin R. Prajapati et al. https://doi.org/10.1007/s12040-024-02326-y
5. A new multifractal analysis-based for identifying the reservoir fluid nature A. Boulassel et al. https://doi.org/10.1016/j.jappgeo.2020.104185
6. Geological boundary detection from well-logs: An efficient approach based on pattern recognition S. Partovi & S. Sadeghnejad https://doi.org/10.1016/j.petrol.2019.01.069
7. Reservoir characterization using multifractal detrended fluctuation analysis of geophysical well-log data D. Subhakar & E. Chandrasekhar https://doi.org/10.1016/j.physa.2015.10.103
8. A wavelet-based multifractal analysis of seismic data for facies identification. Application on the pilot KTB borehole S. Ouadfeul et al. https://doi.org/10.1007/s12517-012-0531-8
9. Exact Lithologic Boundary Detection Based on Wavelet Transform Analysis and Real-Time Investigation of Facies Discontinuities Using Drilling Data R. Arabjamaloei et al. https://doi.org/10.1080/10916460903419206
10. Delineation of hydrocarbon and non-hydrocarbon zones using fractal analysis of well-log data from Bhogpara oil field, NE India B. Mukherjee et al. https://doi.org/10.1007/s13146-020-00556-x
11. Scaling properties of Chicxulub impact breccias - Magnetic susceptibility log from Santa Elena borehole L. Pérez-Cruz et al. https://doi.org/10.1016/j.jsames.2025.105669
12. Geological stratigraphy and spatial distribution of microfractures over the Costa Rica convergent margin, Central America – a wavelet-fractal analysis U. Singh et al. https://doi.org/10.5194/gi-7-179-2018
13. Chaotic behavior of geophysical logs for stratigraphic hiatuses: A case study from Upper Assam Shelf, India B. Mukherjee et al. https://doi.org/10.1016/j.jseaes.2024.106233
14. Integrated workflow incorporating the Hurst exponent and interval inversion for evaluating groundwater formations M. Abdelrahman & N. Szabó https://doi.org/10.1007/s10040-023-02752-0
15. CHARACTERIZATION OF THE HYDROCARBON POTENTIAL AND NON-POTENTIAL ZONES USING WAVELET-BASED FRACTAL ANALYSIS B. MUKHERJEE & P. ROY https://doi.org/10.1142/S0218348X18500019
16. Delineation of stratigraphic pattern using combined application of wavelet-Fourier transform and fractal dimension: A case study over Cambay Basin, India R. Prajapati & U. Singh https://doi.org/10.1016/j.marpetgeo.2020.104562
17. Heterogeneity of Deep Tight Sandstone Reservoirs Using Fractal and Multifractal Analysis Based on Well Logs and Its Correlation with Gas Production P. Zhao et al. https://doi.org/10.3390/fractalfract9070431
18. Inference of strata separation and gas emission paths in longwall overburden using continuous wavelet transform of well logs and geostatistical simulation C. Karacan & R. Olea https://doi.org/10.1016/j.jappgeo.2014.03.019
19. Vertical lithological proxy using statistical and artificial intelligence approach: a case study from Krishna-Godavari Basin, offshore India B. Mukherjee & K. Sain https://doi.org/10.1007/s11001-020-09424-8
20. Identification of Strata from Irregularities in Well Logs Using Chaos Quantifiers M. Figiel & J. Lewandowska-Smierzchalska https://doi.org/10.2118/209236-PA
21. Fractal analysis of logs to characterize the hydrocarbon and non-hydrocarbon zones of Bhogpara oil field, Northeast India B. Mukherjee & P. Roy https://doi.org/10.1007/s12517-017-3282-8
22. Tectonic Duets: Self-Similar Approach to Investigate Eastern Anatolian Fault’s Recent Seismicity, with Special Emphasis on the 6 February 2023 Earthquake Doublet H. Chandriyan & P. Roy https://doi.org/10.1785/0220230341
23. Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case C. Scheidt et al. https://doi.org/10.1190/geo2015-0084.1
24. Analysis of reservoir heterogeneities and depositional environments: a new method C. Boateng & L. Fu https://doi.org/10.1071/EG17072
25. Fractal analysis based on the continuous wavelet transform and lithofacies classification from well-logs data using the self-organizing map neural network L. Aliouane et al. https://doi.org/10.1007/s12517-011-0459-4
26. Assessment of reservoir heterogeneities and hydrocarbon potential zones using wavelet-based fractal and multifractal analysis of geophysical logs of Cambay basin, India R. Prajapati et al. https://doi.org/10.1016/j.marpetgeo.2023.106633
27. Fractal parameters and well-logs investigation using automated well-to-well correlation S. Partovi & S. Sadeghnejad https://doi.org/10.1016/j.cageo.2017.03.004
28. Scaling Laws and Fractal Geometry: Insights into Geophysical Data Interpretations M. Chauhan et al. https://doi.org/10.17491/jgsi/2025/174196
29. Facies Recognition Using Multifractal Hurst Analysis: Applications to Well-Log Data E. Hernandez-Martinez et al. https://doi.org/10.1007/s11004-013-9445-6
30. Reservoir parameter classification of a Miocene formation using a fractal approach to well logging, porosimetry and nuclear magnetic resonance J. Jarzyna et al. https://doi.org/10.1111/j.1365-2478.2012.01102.x