DEVELOPMENT OF CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE FOR SHALE CONTACT ANGLE PREDICTION

RAVEENDRAN, SIVA PRASAD (2022) DEVELOPMENT OF CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE FOR SHALE CONTACT ANGLE PREDICTION. [Final Year Project] (Submitted)

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Abstract

Exploration of unconventional reservoirs always have been a complex subject that attracts the geologists and researchers. Despite this, predicting the contact angle has always been a challenging task especially since most of the companies still using the traditional way to obtain the measurement.

Item Type: Final Year Project
Subjects: Q Science > QE Geology
Departments / MOR / COE: Geoscience and Petroleum Engineering
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 03 Oct 2022 07:42
Last Modified: 03 Oct 2022 07:42
URI: http://utpedia.utp.edu.my/id/eprint/23484

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