AVO Detuning Effect Analysis Based on Sparse Inversion
The wave field characteristics of thin reservoirs are extremely complex due to the tuning and interference between the top and bottom interfaces of the reservoirs, which leads to large uncertainty in thin layer AVO (Amplitude Versus Offset) analysis. In order to reduce the uncertainty of thin layer...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/14/5202 |
| _version_ | 1827597345726922752 |
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| author | Shiyou Liu Weiqi Song Xinrui Zhou Anju Yan Xixin Wang Yangsen Li |
| author_facet | Shiyou Liu Weiqi Song Xinrui Zhou Anju Yan Xixin Wang Yangsen Li |
| author_sort | Shiyou Liu |
| collection | DOAJ |
| description | The wave field characteristics of thin reservoirs are extremely complex due to the tuning and interference between the top and bottom interfaces of the reservoirs, which leads to large uncertainty in thin layer AVO (Amplitude Versus Offset) analysis. In order to reduce the uncertainty of thin layer AVO analysis, we study the uncertainty dominant factors of the effect of thin layer on the AVO response characteristics from the aspects of theoretical derivation and forward simulation. Based on the research results, we use the AVO fitting forward method with offset and tuning utility as the joint inversion operator to establish an AVO detuning effect method, based on the sparse fitting inversion strategy, and study the objective function of the fitting inversion method. We optimize the sparsity constraints and the sparsity method to reduce the non-independence of multiparameter variables and seismic data, and the noise of inversion. Through the verification analysis of the model using actual data, the AVO detuning effect method studied in this paper has a correct and reasonable technical theory and obvious application effect. |
| first_indexed | 2024-03-09T03:29:00Z |
| format | Article |
| id | doaj.art-f3a78d1ebac9471c80284cfd8fe53446 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T03:29:00Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-f3a78d1ebac9471c80284cfd8fe534462023-12-03T14:59:37ZengMDPI AGEnergies1996-10732022-07-011514520210.3390/en15145202AVO Detuning Effect Analysis Based on Sparse InversionShiyou Liu0Weiqi Song1Xinrui Zhou2Anju Yan3Xixin Wang4Yangsen Li5School of Geosciences, China University of Petroleum (East China), Qingdao 266000, ChinaSchool of Geosciences, China University of Petroleum (East China), Qingdao 266000, ChinaSchool of Geosciences, Yangtze University, Wuhan 430100, ChinaHainan Branch of CNOOC China Limited, Haikou 570100, ChinaSchool of Geosciences, Yangtze University, Wuhan 430100, ChinaHainan Branch of CNOOC China Limited, Haikou 570100, ChinaThe wave field characteristics of thin reservoirs are extremely complex due to the tuning and interference between the top and bottom interfaces of the reservoirs, which leads to large uncertainty in thin layer AVO (Amplitude Versus Offset) analysis. In order to reduce the uncertainty of thin layer AVO analysis, we study the uncertainty dominant factors of the effect of thin layer on the AVO response characteristics from the aspects of theoretical derivation and forward simulation. Based on the research results, we use the AVO fitting forward method with offset and tuning utility as the joint inversion operator to establish an AVO detuning effect method, based on the sparse fitting inversion strategy, and study the objective function of the fitting inversion method. We optimize the sparsity constraints and the sparsity method to reduce the non-independence of multiparameter variables and seismic data, and the noise of inversion. Through the verification analysis of the model using actual data, the AVO detuning effect method studied in this paper has a correct and reasonable technical theory and obvious application effect.https://www.mdpi.com/1996-1073/15/14/5202seismic explorationthin interlayertuning effectssparse inversionAVO analysis |
| spellingShingle | Shiyou Liu Weiqi Song Xinrui Zhou Anju Yan Xixin Wang Yangsen Li AVO Detuning Effect Analysis Based on Sparse Inversion Energies seismic exploration thin interlayer tuning effects sparse inversion AVO analysis |
| title | AVO Detuning Effect Analysis Based on Sparse Inversion |
| title_full | AVO Detuning Effect Analysis Based on Sparse Inversion |
| title_fullStr | AVO Detuning Effect Analysis Based on Sparse Inversion |
| title_full_unstemmed | AVO Detuning Effect Analysis Based on Sparse Inversion |
| title_short | AVO Detuning Effect Analysis Based on Sparse Inversion |
| title_sort | avo detuning effect analysis based on sparse inversion |
| topic | seismic exploration thin interlayer tuning effects sparse inversion AVO analysis |
| url | https://www.mdpi.com/1996-1073/15/14/5202 |
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