A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field
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oai:scholars.utp.edu.my:370492023-09-06T06:49:10Z http://scholars.utp.edu.my/id/eprint/37049/ A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field Ahmad Fuad, Muhammad Izzuljad Hermana, Maman Jaya, Makky Sandra Ishak, Muhammad Anwar MDPI 2023 Article NonPeerReviewed Ahmad Fuad, Muhammad Izzuljad and Hermana, Maman and Jaya, Makky Sandra and Ishak, Muhammad Anwar (2023) A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field. Applied Sciences, 13 (15). p. 9025. |
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Malaysia |
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format |
Article |
author |
Ahmad Fuad, Muhammad Izzuljad Hermana, Maman Jaya, Makky Sandra Ishak, Muhammad Anwar |
spellingShingle |
Ahmad Fuad, Muhammad Izzuljad Hermana, Maman Jaya, Makky Sandra Ishak, Muhammad Anwar A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field |
author_facet |
Ahmad Fuad, Muhammad Izzuljad Hermana, Maman Jaya, Makky Sandra Ishak, Muhammad Anwar |
author_sort |
Ahmad Fuad, Muhammad Izzuljad |
title |
A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field |
title_short |
A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field |
title_full |
A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field |
title_fullStr |
A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field |
title_full_unstemmed |
A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field |
title_sort |
new robust weak supervision deep learning approach for reservoir properties prediction in malaysian basin field |
publisher |
MDPI |
publishDate |
2023 |
url |
http://scholars.utp.edu.my/id/eprint/37049/ |
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1778164781502431232 |
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13.19449 |