Azimuthal offset‐dependent attributes applied to fracture detection in a carbonate reservoir
Offset-dependent attributes-amplitude versus offset (AVO) and frequency versus offset-are extracted from 2-D P-wave seismic data using the multiple signal classification technique. These attributes are used to detect fracture orientation in a carbonate reservoir located in the Maporal field in the B...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Society of Exploration Geophysicists
2017
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| Online Access: | http://hdl.handle.net/1721.1/108329 https://orcid.org/0000-0002-4851-3089 |
| Summary: | Offset-dependent attributes-amplitude versus offset (AVO) and frequency versus offset-are extracted from 2-D P-wave seismic data using the multiple signal classification technique. These attributes are used to detect fracture orientation in a carbonate reservoir located in the Maporal field in the Barinas basin of southwestern Venezuela. In the fracture normal direction, P-wave reflectivity is characterized by a large increase of amplitude with offset (large positive AVO gradient) and a large decrease of frequency with offset (large negative frequency versus offset gradient). In the fracture strike direction, P-wave reflectivity shows a scattered variation in AVO but a small variation in frequency with offset. Our results also show that the reservoir heterogeneity can lead to large variations of AVO signatures and that using azimuthal offset-dependent frequency attributes can help lessen the ambiguity when detecting fracture orientation. |
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