24 citations as recorded by crossref.

1. A DFA approach in well-logs for the identification of facies associations E. Hernandez-Martinez et al. 10.1016/j.physa.2013.07.052
2. Wavelet transform analysis for lithological characteristics identification in siliciclastic oil fields T. Perez-Muñoz et al. 10.1016/j.jappgeo.2013.09.010
3. A new multifractal analysis-based for identifying the reservoir fluid nature A. Boulassel et al. 10.1016/j.jappgeo.2020.104185
4. Geological boundary detection from well-logs: An efficient approach based on pattern recognition S. Partovi & S. Sadeghnejad 10.1016/j.petrol.2019.01.069
5. Reservoir characterization using multifractal detrended fluctuation analysis of geophysical well-log data D. Subhakar & E. Chandrasekhar 10.1016/j.physa.2015.10.103
6. A wavelet-based multifractal analysis of seismic data for facies identification. Application on the pilot KTB borehole S. Ouadfeul et al. 10.1007/s12517-012-0531-8
7. Exact Lithologic Boundary Detection Based on Wavelet Transform Analysis and Real-Time Investigation of Facies Discontinuities Using Drilling Data R. Arabjamaloei et al. 10.1080/10916460903419206
8. Delineation of hydrocarbon and non-hydrocarbon zones using fractal analysis of well-log data from Bhogpara oil field, NE India B. Mukherjee et al. 10.1007/s13146-020-00556-x
9. Geological stratigraphy and spatial distribution of microfractures over the Costa Rica convergent margin, Central America – a wavelet-fractal analysis U. Singh et al. 10.5194/gi-7-179-2018
10. Integrated workflow incorporating the Hurst exponent and interval inversion for evaluating groundwater formations M. Abdelrahman & N. Szabó 10.1007/s10040-023-02752-0
11. CHARACTERIZATION OF THE HYDROCARBON POTENTIAL AND NON-POTENTIAL ZONES USING WAVELET-BASED FRACTAL ANALYSIS B. MUKHERJEE & P. ROY 10.1142/S0218348X18500019
12. 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 10.1016/j.marpetgeo.2020.104562
13. 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 10.1016/j.jappgeo.2014.03.019
14. Vertical lithological proxy using statistical and artificial intelligence approach: a case study from Krishna-Godavari Basin, offshore India B. Mukherjee & K. Sain 10.1007/s11001-020-09424-8
15. Identification of Strata from Irregularities in Well Logs Using Chaos Quantifiers M. Figiel & J. Lewandowska-Smierzchalska 10.2118/209236-PA
16. Fractal analysis of logs to characterize the hydrocarbon and non-hydrocarbon zones of Bhogpara oil field, Northeast India B. Mukherjee & P. Roy 10.1007/s12517-017-3282-8
17. 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 10.1785/0220230341
18. Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case C. Scheidt et al. 10.1190/geo2015-0084.1
19. Analysis of reservoir heterogeneities and depositional environments: a new method C. Boateng & L. Fu 10.1071/EG17072
20. 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. 10.1007/s12517-011-0459-4
21. 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. 10.1016/j.marpetgeo.2023.106633
22. Fractal parameters and well-logs investigation using automated well-to-well correlation S. Partovi & S. Sadeghnejad 10.1016/j.cageo.2017.03.004
23. Facies Recognition Using Multifractal Hurst Analysis: Applications to Well-Log Data E. Hernandez-Martinez et al. 10.1007/s11004-013-9445-6
24. Reservoir parameter classification of a Miocene formation using a fractal approach to well logging, porosimetry and nuclear magnetic resonance J. Jarzyna et al. 10.1111/j.1365-2478.2012.01102.x