Seismic attributes optimization and application in reservoir prediction
Petroleum geophysicists recognize that many parameters related to oil and gas reservoirs are predicted using seismic attribute data. However, how best to optimize the seismic attributes, predict the character of thin sandstone reservoirs, and enhance the reservoir description accuracy is an importan...
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| Veröffentlicht in: | Applied geophysics 2006-12, Vol.3 (4), p.243-247 |
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| container_title | Applied geophysics |
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| creator | Gao, Jun Wang, Jianmin Yun, Meihou Huang, Baoshun Zhang, Guocai |
| description | Petroleum geophysicists recognize that many parameters related to oil and gas reservoirs are predicted using seismic attribute data. However, how best to optimize the seismic attributes, predict the character of thin sandstone reservoirs, and enhance the reservoir description accuracy is an important goal for geologists and geophysicists. Based on the theory of main component analysis, we present a new optimization method, called constrained main component analysis. Modeling estimates and real application in an oilfield show that it can enhance reservoir prediction accuracy and has better applicability. |
| doi_str_mv | 10.1007/s11770-006-4007-z |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1672-7975 |
| ispartof | Applied geophysics, 2006-12, Vol.3 (4), p.243-247 |
| issn | 1672-7975 1993-0658 |
| language | eng |
| recordid | cdi_proquest_journals_198425735 |
| source | Alma/SFX Local Collection; SpringerLink Journals - AutoHoldings |
| subjects | Geologists Geophysics Oil and gas fields Oil fields Oil reservoirs Optimization Petroleum production Sandstone 检测方法 预报机制 |
| title | Seismic attributes optimization and application in reservoir prediction |
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