FRACTURED RESERVOIR IDENTIFICATION ON SEISMIC DATA USING SEISMIC CURVATURE ATTRIBUTE AND FMI LOGS IN TEAPOT DOME, WYOMING
This study compares estimates of fracture intensity based on seismic attribute analysis (curvature) with information based on Formation Micro Imager (FMI) logs in Teapot Dome, Wyoming. The fracture intensity from each well was calculated. Several types of curvature were calculated (maximum, minimum,...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2011
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/90723/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=52892 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | This study compares estimates of fracture intensity based on seismic attribute analysis
(curvature) with information based on Formation Micro Imager (FMI) logs in Teapot Dome,
Wyoming. The fracture intensity from each well was calculated. Several types of curvature were
calculated (maximum, minimum, mean, gaussian, most positive and most negative) using a
horizon picked on the Tensleep Formation. The horizon was spatially smoothed to improve the
robustness of results. A comparison between fracture density and maximum curvature showed a
weak negative correlation (R=0.24) while the relationship between fracture density and
minimum curvature showed a weak positive correlation (R=0.326). The inconclusive results
suggest that fracture development of the Tensleep Formation depends on other factors than
structural curvature but the limited data prevents a definitive answer. Curvature attributes were
useful in identifying faults and lineaments in the horizon. |
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