Comparison of Pre-stack Noise Suppression Techniques for AVO Analysis
| dc.contributor.advisor | Castagna, John P. | |
| dc.contributor.committeeMember | Chesnokov, Evgeni M. | |
| dc.contributor.committeeMember | Portniaguine, Oleg | |
| dc.creator | Liu, Dong 1982- | |
| dc.date.accessioned | 2014-03-13T21:21:41Z | |
| dc.date.available | 2014-03-13T21:21:41Z | |
| dc.date.created | December 2012 | |
| dc.date.issued | 2012-12 | |
| dc.date.updated | 2014-03-13T21:21:46Z | |
| dc.description.abstract | Synthetic study has proved that post-stack Structural Filter (SF) applied to Common Offset (CO) gathers with pilot-stack showed better performance over FK Dip Filter and FX Decon with regard to fault preservation, noise suppression, and amplitude preservation; in Common Midpoint (CMP) domain, Radon Filter and Structural Filter suppressed random noise, spikes, and multiples with high efficiency. SF with padded intercept was superior to Radon Filter, because it preserved the reflection amplitude with offset variation. The application of Structural Filter in Stratton Field data showed that the best workflow was the cascaded process. The cascaded SF has been demonstrated to be superior over conventional noise suppression methods, because it preserved relative amplitude, removed random noise, flattened seismic reflectors, and enhanced faults and fractures. In addition, by applying Structural Filter to pre-stack time migrated gathers, the improved velocity produced better stack sections for further structure identification and interpretation. Using the conditioned CRP gathers in AVO analysis, it improved intercept and gradient sections and AVO cross-plot. The intercept and gradient sections showed negative intercept and gradient for top reservoir sand, indicating a class III AVO response. AVO cross-plots showed that SF defined a clustered background trend which allowed us to differentiate deviations associated with top and base of the reservoir. Both synthetic study and real data application proved that SF is an AVO compliant noise suppression technique, and is a great tool for AVO data conditioning. The application of Structural Filter in Stratton Field data for AVO analysis may potentially help to find new prospect for exploitation and production in the Gulf Coast Basin. | |
| dc.description.department | Earth and Atmospheric Sciences, Department of | |
| dc.format.digitalOrigin | born digital | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/10657/552 | |
| dc.language.iso | eng | |
| dc.rights | The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s). | |
| dc.subject | Pre-stack Noise Suppression | |
| dc.subject | Structural Filter | |
| dc.subject | AVO Analysis | |
| dc.subject.lcsh | Geophysics | |
| dc.title | Comparison of Pre-stack Noise Suppression Techniques for AVO Analysis | |
| dc.type.dcmi | Text | |
| dc.type.genre | Thesis | |
| thesis.degree.college | College of Natural Sciences and Mathematics | |
| thesis.degree.department | Earth and Atmospheric Sciences, Department of | |
| thesis.degree.discipline | Geophysics | |
| thesis.degree.grantor | University of Houston | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science |