An enhanced approach to predict permeability in reservoir sandstones using artificial neural networks (ANN)
A key challenge in the oil and gas industry is the ability to predict key petrophysical properties such as porosity and permeability. The predictability of such properties is often complicated by the complex nature of geologic materials. This study is aimed at developing models that can estimate per...
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Springer Verlag
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016553292&doi=10.1007%2fs12517-017-2955-7&partnerID=40&md5=9af06ae940b953d50a1551c879f9ff20 http://eprints.utp.edu.my/19549/ |
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