POTENTIAL HYDROCARBON ZONES PREDICTION USING ARTIFICIAL NEURAL NETWORK APPLICATION - CASE STUDY : FIELD X
One important aspect in petroleum engineering is to define the zone interest, which indicate that there is potential value of hydrocarbon reserve. Up until now, well log analysis is the standard method to determine those potential hydrocarbon zones by estimating water saturation parameter using em...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/40074 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |