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[1]
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Application of Deep Learning for Reservoir Porosity Prediction and Self Organizing Map for Lithofacies Prediction
Journal of Applied Geophysics,
2024
DOI:10.1016/j.jappgeo.2024.105502
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[2]
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Investigation of the hydrocarbon generative potential of Eocene, Cretaceous, and Late Triassic age sequences in the Punjab Platform Basin, Pakistan, using geochemical and petrophysical techniques
Carbonates and Evaporites,
2023
DOI:10.1007/s13146-022-00842-w
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[3]
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Application of Machine Learning for Lithofacies Prediction and Cluster Analysis Approach to Identify Rock Type
Energies,
2022
DOI:10.3390/en15124501
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[4]
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Integrated geophysical analysis of the Sembar Formation, Central Indus Basin, as an unconventional resource
Journal of Natural Gas Science and Engineering,
2022
DOI:10.1016/j.jngse.2022.104507
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[5]
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Application of Machine Learning for Lithofacies Prediction and Cluster Analysis Approach to Identify Rock Type
Energies,
2022
DOI:10.3390/en15124501
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[6]
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Hydrocarbon Generative Potential of Cretaceous and Jurassic Deposits in the Ahmedpur East Oilfield Subsurface, Punjab Platform, Pakistan
Journal of the Geological Society of India,
2021
DOI:10.1007/s12594-021-1792-1
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[7]
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Hydrocarbon Generative Potential of Cretaceous and Jurassic Deposits in the Ahmedpur East Oilfield Subsurface, Punjab Platform, Pakistan
Journal of the Geological Society of India,
2021
DOI:10.1007/s12594-021-1792-1
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[8]
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Geomorphometric comparison of submarine channel-levee complexes with fluvial river systems: observations from the Indus
Geo-Marine Letters,
2020
DOI:10.1007/s00367-020-00654-8
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[9]
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Longitudinal profiling and elevation-relief analysis of the Indus
Arabian Journal of Geosciences,
2018
DOI:10.1007/s12517-018-3657-5
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[10]
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Hydrocarbon source rock potential of Paleocene and Jurassic deposits in the Panjpir oilfield subsurface, Punjab Platform, Pakistan
Arabian Journal of Geosciences,
2018
DOI:10.1007/s12517-018-3978-4
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