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In this study, the Genetic Algorithm is intended to obtain optimum horizontal drilling length and direction. The length and the direction would affect economic parameters such as Net Present Value and Internal Rate of Return because they are directly related to cumulative gas productions as resulted...

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Main Author: INDRIANI (NIM: 22209068), ERDILA
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/20070
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:20070
spelling id-itb.:200702017-09-27T15:07:45Z#TITLE_ALTERNATIVE# INDRIANI (NIM: 22209068), ERDILA Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/20070 In this study, the Genetic Algorithm is intended to obtain optimum horizontal drilling length and direction. The length and the direction would affect economic parameters such as Net Present Value and Internal Rate of Return because they are directly related to cumulative gas productions as resulted from running process of the X field reservoir simulation, and thus, each drilling direction and length has different NPV and IRR. <br /> <br /> <br /> The results of the reservoir simulation are used to validate the results of the Genetic Algorithm calculation for various percentage numbers of a total data as used by the reservoir simulation. Based on this result, it was obtained a conclusion that the length of horizontal segment of 669 meters at 3150 drilling direction yields the highest NPV, i.e., $183,804,215. 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
description In this study, the Genetic Algorithm is intended to obtain optimum horizontal drilling length and direction. The length and the direction would affect economic parameters such as Net Present Value and Internal Rate of Return because they are directly related to cumulative gas productions as resulted from running process of the X field reservoir simulation, and thus, each drilling direction and length has different NPV and IRR. <br /> <br /> <br /> The results of the reservoir simulation are used to validate the results of the Genetic Algorithm calculation for various percentage numbers of a total data as used by the reservoir simulation. Based on this result, it was obtained a conclusion that the length of horizontal segment of 669 meters at 3150 drilling direction yields the highest NPV, i.e., $183,804,215.
format Theses
author INDRIANI (NIM: 22209068), ERDILA
spellingShingle INDRIANI (NIM: 22209068), ERDILA
#TITLE_ALTERNATIVE#
author_facet INDRIANI (NIM: 22209068), ERDILA
author_sort INDRIANI (NIM: 22209068), ERDILA
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/20070
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