Fault and fracture network characterization using seismic data: a study based on neural network models assessment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Economic Geology,General Energy,Geophysics,Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s40948-022-00352-y.pdf
Reference55 articles.
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2. Aghli G, Soleimani B, Moussavi-Harami R, Mohammadian R (2016) Fractured zones detection using conventional petrophysical logs by differentiation method and its correlation with image logs. J Petrol Sci Eng 142:152–162
3. Aguilera R (2010) Effect of fracture dip and fracture tortuosity on petrophysical evaluation of naturally fractured reservoirs. J Can Pet Technol 49:69–76
4. Al-Ghamdi A, Chen B, Behmanesh H, Qanbari F, Aguilera R (2010) An improved triple porosity model for evaluation of naturally fractured reservoirs. Trinidad Tobago Energy Resour Conf. https://doi.org/10.2118/132879-ms
5. Al Moqbel A, Wang Y (2011) Carbonate reservoir characterization with lithofacies clustering and porosity prediction. J Geophys Eng 8:592–598
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