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Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform

Back in the days, before computers and IT were widely used, history matching was done manually by trial and error method, where personal judgment were very critical in undergoing such methodology. In other words, only highly-skilled and experienced engineers can perform history matching. Apart from...

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Main Author: Abdul Rashid, Abdul Hadi
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2014
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/14206/1/Abdul%20Hadi%20%2813960%29%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/14206/
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spelling my-utp-utpedia.142062017-01-25T09:37:01Z http://utpedia.utp.edu.my/14206/ Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform Abdul Rashid, Abdul Hadi T Technology (General) Back in the days, before computers and IT were widely used, history matching was done manually by trial and error method, where personal judgment were very critical in undergoing such methodology. In other words, only highly-skilled and experienced engineers can perform history matching. Apart from that, the manual way consume too much time, especially when dealing with thousands of well parameters. Hence, this project, which propose the usage of assisted history matching technique with Genetic Algorithm (GA) as the optimization tool and Discrete Cosine Transform (DCT) as the parameter reduction method is carried out in order to achieve the objective of minimizing the time taken to do history matching. To achieve the objective stated above, a conceptual reservoir model was built based on a set of average reservoir data. Next, fluid flow equations were derived to obtain the forward model and eventually, the objective function. Later, an algorithm combining both Genetic Algorithm and Discrete Cosine Transform was proposed, which shows the step-by-step sequence of both methods. Overall, an algorithm showing the combination method of both GA and DCT was successfully developed. Then the proposed algorithm for DCT and GA can be applied to the history matching problem. iv Universiti Teknologi PETRONAS 2014-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/14206/1/Abdul%20Hadi%20%2813960%29%20Final%20Dissertation.pdf Abdul Rashid, Abdul Hadi (2014) Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform. Universiti Teknologi PETRONAS. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abdul Rashid, Abdul Hadi
Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
description Back in the days, before computers and IT were widely used, history matching was done manually by trial and error method, where personal judgment were very critical in undergoing such methodology. In other words, only highly-skilled and experienced engineers can perform history matching. Apart from that, the manual way consume too much time, especially when dealing with thousands of well parameters. Hence, this project, which propose the usage of assisted history matching technique with Genetic Algorithm (GA) as the optimization tool and Discrete Cosine Transform (DCT) as the parameter reduction method is carried out in order to achieve the objective of minimizing the time taken to do history matching. To achieve the objective stated above, a conceptual reservoir model was built based on a set of average reservoir data. Next, fluid flow equations were derived to obtain the forward model and eventually, the objective function. Later, an algorithm combining both Genetic Algorithm and Discrete Cosine Transform was proposed, which shows the step-by-step sequence of both methods. Overall, an algorithm showing the combination method of both GA and DCT was successfully developed. Then the proposed algorithm for DCT and GA can be applied to the history matching problem. iv
format Final Year Project
author Abdul Rashid, Abdul Hadi
author_facet Abdul Rashid, Abdul Hadi
author_sort Abdul Rashid, Abdul Hadi
title Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
title_short Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
title_full Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
title_fullStr Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
title_full_unstemmed Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
title_sort assisted history matching by using genetic algorithm and discrete cosine transform
publisher Universiti Teknologi PETRONAS
publishDate 2014
url http://utpedia.utp.edu.my/14206/1/Abdul%20Hadi%20%2813960%29%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/14206/
_version_ 1739831975150092288
score 13.211869

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