PENGGUNAAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PENENTUAN METODE PREDIKSI LAJU PENEMBUSAN UNTUK OPERASI PEMBORAN DI LAPANGAN X, INDONESIA
Field development and drilling some new wells in Indonesia is continued to be done in order to increase the number of oil and gas production. The field development should be done as efficient and economically as possible. One of the important things should be considered when make field development p...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/64183 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
id |
id-itb.:64183 |
---|---|
spelling |
id-itb.:641832022-04-06T14:28:29ZPENGGUNAAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PENENTUAN METODE PREDIKSI LAJU PENEMBUSAN UNTUK OPERASI PEMBORAN DI LAPANGAN X, INDONESIA Setiadi Ramli, Budi Pertambangan dan operasi berkaitan Indonesia Final Project field development, prediction, Rate of Penetration, Artificial Neural Network INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/64183 Field development and drilling some new wells in Indonesia is continued to be done in order to increase the number of oil and gas production. The field development should be done as efficient and economically as possible. One of the important things should be considered when make field development plan is drilling program. This study aims to determine the best method to predict ROP in real drilling operation with Artificial Neural Network. ROP prediction is very important, so drilling operation can be held more quickly and efficient. It relates directly to cost savings are spent in drilling operation, which is a part of field development to cost the most. text |
institution |
Institut Teknologi Bandung |
building |
Institut Teknologi Bandung Library |
continent |
Asia |
country |
Indonesia Indonesia |
content_provider |
Institut Teknologi Bandung |
collection |
Digital ITB |
language |
Indonesia |
topic |
Pertambangan dan operasi berkaitan |
spellingShingle |
Pertambangan dan operasi berkaitan Setiadi Ramli, Budi PENGGUNAAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PENENTUAN METODE PREDIKSI LAJU PENEMBUSAN UNTUK OPERASI PEMBORAN DI LAPANGAN X, INDONESIA |
description |
Field development and drilling some new wells in Indonesia is continued to be done in order to increase the number of oil and gas production. The field development should be done as efficient and economically as possible. One of the important things should be considered when make field development plan is drilling program.
This study aims to determine the best method to predict ROP in real drilling operation with Artificial Neural Network. ROP prediction is very important, so drilling operation can be held more quickly and efficient. It relates directly to cost savings are spent in drilling operation, which is a part of field development to cost the most. |
format |
Final Project |
author |
Setiadi Ramli, Budi |
author_facet |
Setiadi Ramli, Budi |
author_sort |
Setiadi Ramli, Budi |
title |
PENGGUNAAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PENENTUAN METODE PREDIKSI LAJU PENEMBUSAN UNTUK OPERASI PEMBORAN DI LAPANGAN X, INDONESIA |
title_short |
PENGGUNAAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PENENTUAN METODE PREDIKSI LAJU PENEMBUSAN UNTUK OPERASI PEMBORAN DI LAPANGAN X, INDONESIA |
title_full |
PENGGUNAAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PENENTUAN METODE PREDIKSI LAJU PENEMBUSAN UNTUK OPERASI PEMBORAN DI LAPANGAN X, INDONESIA |
title_fullStr |
PENGGUNAAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PENENTUAN METODE PREDIKSI LAJU PENEMBUSAN UNTUK OPERASI PEMBORAN DI LAPANGAN X, INDONESIA |
title_full_unstemmed |
PENGGUNAAN ARTIFICIAL NEURAL NETWORK (ANN) PADA PENENTUAN METODE PREDIKSI LAJU PENEMBUSAN UNTUK OPERASI PEMBORAN DI LAPANGAN X, INDONESIA |
title_sort |
penggunaan artificial neural network (ann) pada penentuan metode prediksi laju penembusan untuk operasi pemboran di lapangan x, indonesia |
url |
https://digilib.itb.ac.id/gdl/view/64183 |
_version_ |
1822932368841768960 |