The use of seismic attribute studies in the petroleum industry is fast spreading. Seismic attribute studies entail the integration of derived attributes from 3-D seismic data with well log, core and/or outcrop data (through multivariate linear regression, neural networks, etc.) to estimate and project physical properties in areas of sparse data control. Because of the accuracy of this technique in predicting the subsurface distribution of physical properties in 3-D space, and delineating depositionally and non-depositionally controlled trends not readily apparent from other methods commonly used in sedimentary geology (e.g., facies modeling, geostatistics, and sequence stratigraphy), it becomes an important tool for sedimentary geologists. / We illustrate the techniques and advantages of the approach to predict 3-D distribution of porosity in stratigraphically complex carbonate buildups of the Upper Jurassic Smackover Formation at Appleton Field, southwest Alabama. We predict that porosity is thicker on the forereef flanks than on the crest of paleostructure.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.79144 |
| Date | January 2003 |
| Creators | Tebo, Juliana M. |
| Contributors | Hart, Bruce S. (advisor) |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Master of Science (Department of Earth and Planetary Sciences.) |
| Rights | All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. |
| Relation | alephsysno: 001984144, proquestno: AAIMQ88314, Theses scanned by UMI/ProQuest. |
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