Study of seismic attributes recognition method of high quality igneous rock reservoir
Aimed target area is deeply buried, complex lithology, dual media, reservoir development degree is controlled by a variety of factors, meanwhile, lateral thickness and lithofacies change rapidly, and strata formation is poor. Therefore, igneous rock reservoir has difficulty in predicting, since seis...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/105/e3sconf_gesd2021_01058.pdf |
| _version_ | 1818426396495577088 |
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| author | Yitong Wang Jingsheng Li Zandong Sun Sam Wei Qiao Yanjie Li Yongyi Ma Yan Shen Shuheng Wang |
| author_facet | Yitong Wang Jingsheng Li Zandong Sun Sam Wei Qiao Yanjie Li Yongyi Ma Yan Shen Shuheng Wang |
| author_sort | Yitong Wang |
| collection | DOAJ |
| description | Aimed target area is deeply buried, complex lithology, dual media, reservoir development degree is controlled by a variety of factors, meanwhile, lateral thickness and lithofacies change rapidly, and strata formation is poor. Therefore, igneous rock reservoir has difficulty in predicting, since seismic is complicated to track trace, reservoir attribute analysis is hard to determine the time window, and inversion modeling requires sophisticated. By analyzing, the basalt in the target research area accounts for the principal component of the igneous rock, however, the igneous rocks with relatively developed reservoirs are mostly distributed in the trachyte breccia which has good productivity. The results of petrophysical study indicate that frequency-dependent AVO inversion method is an important means to identify fluid and reservoir prediction, notwithstanding it is difficult to distinguish high-quality reservoirs barely by P-wave impedance. Consequently, AVOF inversion method is appropriately proposed to identify igneous rock reservoir. Foremost, eliminating the effects of algorithm,frequency, spectrum balancing and other factors, then put the improved three-term Aki&Richards frequency-dependent AVO inversion method applying to distinguish igneous reservoir fluid and lithology, for the purpose of carrying out the identification of high-quality reservoirs. |
| first_indexed | 2024-12-14T14:29:10Z |
| format | Article |
| id | doaj.art-d37b3358ef864f898722b8c0daeddfe0 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-14T14:29:10Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-d37b3358ef864f898722b8c0daeddfe02022-12-21T22:57:51ZengEDP SciencesE3S Web of Conferences2267-12422021-01-013290105810.1051/e3sconf/202132901058e3sconf_gesd2021_01058Study of seismic attributes recognition method of high quality igneous rock reservoirYitong WangJingsheng LiZandong Sun Sam0Wei QiaoYanjie LiYongyi MaYan ShenShuheng WangBGPAimed target area is deeply buried, complex lithology, dual media, reservoir development degree is controlled by a variety of factors, meanwhile, lateral thickness and lithofacies change rapidly, and strata formation is poor. Therefore, igneous rock reservoir has difficulty in predicting, since seismic is complicated to track trace, reservoir attribute analysis is hard to determine the time window, and inversion modeling requires sophisticated. By analyzing, the basalt in the target research area accounts for the principal component of the igneous rock, however, the igneous rocks with relatively developed reservoirs are mostly distributed in the trachyte breccia which has good productivity. The results of petrophysical study indicate that frequency-dependent AVO inversion method is an important means to identify fluid and reservoir prediction, notwithstanding it is difficult to distinguish high-quality reservoirs barely by P-wave impedance. Consequently, AVOF inversion method is appropriately proposed to identify igneous rock reservoir. Foremost, eliminating the effects of algorithm,frequency, spectrum balancing and other factors, then put the improved three-term Aki&Richards frequency-dependent AVO inversion method applying to distinguish igneous reservoir fluid and lithology, for the purpose of carrying out the identification of high-quality reservoirs.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/105/e3sconf_gesd2021_01058.pdf |
| spellingShingle | Yitong Wang Jingsheng Li Zandong Sun Sam Wei Qiao Yanjie Li Yongyi Ma Yan Shen Shuheng Wang Study of seismic attributes recognition method of high quality igneous rock reservoir E3S Web of Conferences |
| title | Study of seismic attributes recognition method of high quality igneous rock reservoir |
| title_full | Study of seismic attributes recognition method of high quality igneous rock reservoir |
| title_fullStr | Study of seismic attributes recognition method of high quality igneous rock reservoir |
| title_full_unstemmed | Study of seismic attributes recognition method of high quality igneous rock reservoir |
| title_short | Study of seismic attributes recognition method of high quality igneous rock reservoir |
| title_sort | study of seismic attributes recognition method of high quality igneous rock reservoir |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/105/e3sconf_gesd2021_01058.pdf |
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