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Konaté, Ahmed Amara, Pan, Heping, Khan, Nasir, Yang, Jie Huai (2015) Generalized regression and feed-forward back propagation neural networks in modelling porosity from geophysical well logs. Journal of Petroleum Exploration and Production Technology, 5 (2). 157-166 doi:10.1007/s13202-014-0137-7

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Reference TypeJournal (article/letter/editorial)
TitleGeneralized regression and feed-forward back propagation neural networks in modelling porosity from geophysical well logs
JournalJournal of Petroleum Exploration and Production Technology
AuthorsKonaté, Ahmed AmaraAuthor
Pan, HepingAuthor
Khan, NasirAuthor
Yang, Jie HuaiAuthor
Year2015 (June)Volume5
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s13202-014-0137-7Search in ResearchGate
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Mindat Ref. ID7187519Long-form Identifiermindat:1:5:7187519:8
GUID0
Full ReferenceKonaté, Ahmed Amara, Pan, Heping, Khan, Nasir, Yang, Jie Huai (2015) Generalized regression and feed-forward back propagation neural networks in modelling porosity from geophysical well logs. Journal of Petroleum Exploration and Production Technology, 5 (2). 157-166 doi:10.1007/s13202-014-0137-7
Plain TextKonaté, Ahmed Amara, Pan, Heping, Khan, Nasir, Yang, Jie Huai (2015) Generalized regression and feed-forward back propagation neural networks in modelling porosity from geophysical well logs. Journal of Petroleum Exploration and Production Technology, 5 (2). 157-166 doi:10.1007/s13202-014-0137-7
In(2015, June) Journal of Petroleum Exploration and Production Technology Vol. 5 (2) Springer Science and Business Media LLC

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Konaté, Ahmed Amara, Pan, Heping, Khan, Nasir, Ziggah, Yao Yevenyo (2015) Prediction of porosity in crystalline rocks using artificial neural networks: An example from the Chinese Continental Scientific Drilling Main hole. Studia Geophysica et Geodaetica, 59 (1) 113-136 doi:10.1007/s11200-013-0993-5
Yang, Huaijie, Pan, Heping, Wu, Aiping, Luo, Miao, Konaté, Ahmed Amara, Meng, Qingxin (2017) Application of well logs integration and wavelet transform to improve fracture zones detection in metamorphic rocks. Journal of Petroleum Science and Engineering, 157. 716-723 doi:10.1016/j.petrol.2017.07.057
Konaté, Ahmed Amara, Pan, Heping, Fang, Sinan, Asim, Shazia, Ziggah, Yao Yevenyo, Deng, Chengxiang, Khan, Nasir (2015) Capability of self-organizing map neural network in geophysical log data classification: Case study from the CCSD-MH. Journal of Applied Geophysics, 118. 37-46 doi:10.1016/j.jappgeo.2015.04.004
Konaté, Ahmed Amara, Pan, Heping, Khan, Nasir, Keita, Oumar, Cissé, Mamady, Kourouma, Mory, Keita, Daouda (2019) Mineralogy Recognition from In-Situ Elemental Concentration Log Data Using Factor Analysis. In Petrogenesis and Exploration of the Earth’s Interior. Springer International Publishing. p.171-173. doi:10.1007/978-3-030-01575-6_41
Khan, Nasir, Min, Zhu Pei, Konaté, Ahmed Amara (2013) Petrophysical Parameters Estimation Using Geophysical Well Log Data of Indus Sub-Basin Area, Pakistan. Journal of Geography and Geology, 5 (4). doi:10.5539/jgg.v5n4p71
Asgarinezhad, Yousef, Asgarinezhad, Masoud, Tokhmechi, Behzad, Kamkar-Rouhani, Abolghasem, Sherkati, Shahram (2016) Detecting vuggy porosity in carbonate reservoirs by well logs. Journal of Petroleum Exploration and Production Technology, 6 (1). 25-31 doi:10.1007/s13202-015-0169-7
Konaté, Ahmed Amara, Pan, Heping, Ma, Huolin, Cao, Xiurong, Yevenyo Ziggah, Yao, Oloo, Margaret, Khan, Nashir (2015) Application of dimensionality reduction technique to improve geophysical log data classification performance in crystalline rocks. Journal of Petroleum Science and Engineering, 133. 633-645 doi:10.1016/j.petrol.2015.06.035
Hasan, Muhammad Luqman, M. Tóth, Tivadar (2024) Multiple linear regression and gene expression programming to predict fracture density from conventional well logs of basement metamorphic rocks. Journal of Petroleum Exploration and Production Technology, 14 (7) 1899-1921 doi:10.1007/s13202-024-01800-z
Khan, Muhammad Jahangir, Khan, Haris Ahmed (2018) Petrophysical logs contribute in appraising productive sands of Lower Goru Formation, Kadanwari concession, Pakistan. Journal of Petroleum Exploration and Production Technology, 8 (4). 1089-1098 doi:10.1007/s13202-018-0472-1
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