Well log data super-resolution based on locally linear embedding
Unconventional remaining oil and gas resources such as tight oil, shale oil, and coalbed gas are currently the focus of the exploration and development of major oil fields all over the world. Therefore, to make best understand of target reservoirs, enhancing the vertical resolution of well log data...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | Oil & Gas Science and Technology |
| Online Access: | https://ogst.ifpenergiesnouvelles.fr/articles/ogst/full_html/2021/01/ogst210044/ogst210044.html |
| _version_ | 1818727867495743488 |
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| author | Han Jian Gao Pan Cao Zhimin Li Jing Wang Sijie Yang Can |
| author_facet | Han Jian Gao Pan Cao Zhimin Li Jing Wang Sijie Yang Can |
| author_sort | Han Jian |
| collection | DOAJ |
| description | Unconventional remaining oil and gas resources such as tight oil, shale oil, and coalbed gas are currently the focus of the exploration and development of major oil fields all over the world. Therefore, to make best understand of target reservoirs, enhancing the vertical resolution of well log data is crucial important. However, in the face of the continuous low-level fluctuations of international oil price, large scale use of expensive high resolution well logging hardware tools has always been unaffordable and unacceptable. In another aspect, traditional well log interpolation methods can always not realize high reliable information enhancement for crucial high frequency components. In this paper, in order to improve the well log data super-resolution performance, we propose for the first time to employ Locally Linear Embedding (LLE) technique to reveal the nonlinear mapping relationship between 2-times-scale-difference well log data. Several super resolution experiments with well log data from a given area of Daqing Oil field, China, were conducted. Experimental results illustrated that the proposed LLE-based method can efficiently achieve more reliable super-resolution results than other state-of-the-art methods. |
| first_indexed | 2024-12-17T22:20:55Z |
| format | Article |
| id | doaj.art-fe713eb2fd9f49e38ba31e523ddbdd9c |
| institution | Directory Open Access Journal |
| issn | 1294-4475 1953-8189 |
| language | English |
| last_indexed | 2024-12-17T22:20:55Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Oil & Gas Science and Technology |
| spelling | doaj.art-fe713eb2fd9f49e38ba31e523ddbdd9c2022-12-21T21:30:29ZengEDP SciencesOil & Gas Science and Technology1294-44751953-81892021-01-01766310.2516/ogst/2021042ogst210044Well log data super-resolution based on locally linear embeddingHan Jianhttps://orcid.org/0000-0002-9836-4931Gao Panhttps://orcid.org/0000-0002-5003-6664Cao Zhiminhttps://orcid.org/0000-0002-5308-7678Li Jinghttps://orcid.org/0000-0001-6623-4780Wang Sijiehttps://orcid.org/0000-0001-9280-5401Yang CanUnconventional remaining oil and gas resources such as tight oil, shale oil, and coalbed gas are currently the focus of the exploration and development of major oil fields all over the world. Therefore, to make best understand of target reservoirs, enhancing the vertical resolution of well log data is crucial important. However, in the face of the continuous low-level fluctuations of international oil price, large scale use of expensive high resolution well logging hardware tools has always been unaffordable and unacceptable. In another aspect, traditional well log interpolation methods can always not realize high reliable information enhancement for crucial high frequency components. In this paper, in order to improve the well log data super-resolution performance, we propose for the first time to employ Locally Linear Embedding (LLE) technique to reveal the nonlinear mapping relationship between 2-times-scale-difference well log data. Several super resolution experiments with well log data from a given area of Daqing Oil field, China, were conducted. Experimental results illustrated that the proposed LLE-based method can efficiently achieve more reliable super-resolution results than other state-of-the-art methods.https://ogst.ifpenergiesnouvelles.fr/articles/ogst/full_html/2021/01/ogst210044/ogst210044.html |
| spellingShingle | Han Jian Gao Pan Cao Zhimin Li Jing Wang Sijie Yang Can Well log data super-resolution based on locally linear embedding Oil & Gas Science and Technology |
| title | Well log data super-resolution based on locally linear embedding |
| title_full | Well log data super-resolution based on locally linear embedding |
| title_fullStr | Well log data super-resolution based on locally linear embedding |
| title_full_unstemmed | Well log data super-resolution based on locally linear embedding |
| title_short | Well log data super-resolution based on locally linear embedding |
| title_sort | well log data super resolution based on locally linear embedding |
| url | https://ogst.ifpenergiesnouvelles.fr/articles/ogst/full_html/2021/01/ogst210044/ogst210044.html |
| work_keys_str_mv | AT hanjian welllogdatasuperresolutionbasedonlocallylinearembedding AT gaopan welllogdatasuperresolutionbasedonlocallylinearembedding AT caozhimin welllogdatasuperresolutionbasedonlocallylinearembedding AT lijing welllogdatasuperresolutionbasedonlocallylinearembedding AT wangsijie welllogdatasuperresolutionbasedonlocallylinearembedding AT yangcan welllogdatasuperresolutionbasedonlocallylinearembedding |