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Determining the optimal horizontal well length with the corresponding direction is one of the most important process in gas field production. Generally, that process is done by using trial and error procedure with a simulator. In this study, the optimal horizontal well length and direction will be f...
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id-itb.:168352017-09-27T11:43:11Z#TITLE_ALTERNATIVE# ABDUL AZIZ (NIM : 10107006); Pembimbing : Ir. Tutuka Ariadji, M.Sc, Ph.D; Prof. Dr. Edy So, PRASANDI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/16835 Determining the optimal horizontal well length with the corresponding direction is one of the most important process in gas field production. Generally, that process is done by using trial and error procedure with a simulator. In this study, the optimal horizontal well length and direction will be found by using Genetic Algorithm (GA). By using GA, process to find the optimal horizontal well length and direction will need shorter time than using trial and error procedure. This research is divided in two cases. In the first case, the initial drilling point of horizontal well has already known and the optimal direction and length will be computed. In <br /> <br /> <br /> the second case, the initial drilling point is assumed unknown and both the optimal drilling points as well as the direction are computed. The objective function that is used in this study is based on three properties in petroleum study, which are gas saturation, porosity and <br /> <br /> <br /> permeability. The parameter that will be optimized in this study is plateau time. The result from GA is then validated with reservoir simulator. It is concluded at the end of this study that GA can produce reliable numerical results compared with results obtained from reservoir simulator. For the input data, GA yields direction of 120 and length 536.4706 meter resulting <br /> <br /> <br /> in 7.06266 years of plateau time in the first case. In the second case, GA yields direction of 1770 and length 864.7059 meter resulting in 7.52153 years of plateau time. text |
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Determining the optimal horizontal well length with the corresponding direction is one of the most important process in gas field production. Generally, that process is done by using trial and error procedure with a simulator. In this study, the optimal horizontal well length and direction will be found by using Genetic Algorithm (GA). By using GA, process to find the optimal horizontal well length and direction will need shorter time than using trial and error procedure. This research is divided in two cases. In the first case, the initial drilling point of horizontal well has already known and the optimal direction and length will be computed. In <br />
<br />
<br />
the second case, the initial drilling point is assumed unknown and both the optimal drilling points as well as the direction are computed. The objective function that is used in this study is based on three properties in petroleum study, which are gas saturation, porosity and <br />
<br />
<br />
permeability. The parameter that will be optimized in this study is plateau time. The result from GA is then validated with reservoir simulator. It is concluded at the end of this study that GA can produce reliable numerical results compared with results obtained from reservoir simulator. For the input data, GA yields direction of 120 and length 536.4706 meter resulting <br />
<br />
<br />
in 7.06266 years of plateau time in the first case. In the second case, GA yields direction of 1770 and length 864.7059 meter resulting in 7.52153 years of plateau time. |
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Final Project |
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ABDUL AZIZ (NIM : 10107006); Pembimbing : Ir. Tutuka Ariadji, M.Sc, Ph.D; Prof. Dr. Edy So, PRASANDI |
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ABDUL AZIZ (NIM : 10107006); Pembimbing : Ir. Tutuka Ariadji, M.Sc, Ph.D; Prof. Dr. Edy So, PRASANDI #TITLE_ALTERNATIVE# |
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ABDUL AZIZ (NIM : 10107006); Pembimbing : Ir. Tutuka Ariadji, M.Sc, Ph.D; Prof. Dr. Edy So, PRASANDI |
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ABDUL AZIZ (NIM : 10107006); Pembimbing : Ir. Tutuka Ariadji, M.Sc, Ph.D; Prof. Dr. Edy So, PRASANDI |
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https://digilib.itb.ac.id/gdl/view/16835 |
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