|
|||||
|
|
Exploring the seismic expression of fault zones in 3D seismic volumes |
|
| Affiliation: | 1. Geology and Petroleum Geology, School of Geosciences, University of Aberdeen, Meston Building, AB24 FX, UK;2. Euclidity, Santa Cruz de Tenerife, Spain;3. Formerly in ffA, now in Statoil Production (UK) Limited, Aberdeen, UK;4. Impasse Maryse bastie, 44000 Nantes, France;1. Basins Research Group (BRG), Department of Earth Science and Engineering, Imperial College, South Kensington Campus, Prince Consort Road, London, SW7 2BP, UK;2. Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, University Station, Box X, Austin, TX 78713-8924, USA;3. Department of Earth Science/Natural History Collections, University of Bergen, Allégaten 41, 5008 Bergen, Norway;1. Department of Earth and Environmental Science, Franklin and Marshall College, Lancaster, PA 17603, USA;2. Exxon-Mobil, Houston, USA;3. Earth Water Global, Washington D.C., USA;1. Geology and Petroleum Geology, School of Geosciences, University of Aberdeen, Kings College, Aberdeen AB24 3UE, UK;2. Technical Resources Unit, Technical Division, Inpex Corporation, Tokyo 107-6332, Japan;1. GNS Science, 1 Fairway Drive, Lower Hutt, 5011, New Zealand;2. Elemental Group, 49 Boulcott Street, Wellington, 6011, New Zealand;1. Department of Earth Sciences, University College London, WC1E 6BT, UK;2. Basins Research Group (BRG), Department of Earth Science & Engineering, Imperial College, London SW7 2BP, UK |
| Abstract: | Mapping and understanding distributed deformation is a major challenge for the structural interpretation of seismic data. However, volumes of seismic signal disturbance with low signal/noise ratio are systematically observed within 3D seismic datasets around fault systems. These seismic disturbance zones (SDZ) are commonly characterized by complex perturbations of the signal and occur at the sub-seismic (10 s m) to seismic scale (100 s m). They may store important information on deformation distributed around those larger scale structures that may be readily interpreted in conventional amplitude displays of seismic data. We introduce a method to detect fault-related disturbance zones and to discriminate between this and other noise sources such as those associated with the seismic acquisition (footprint noise). Two case studies from the Taranaki basin and deep-water Niger delta are presented. These resolve SDZs using tensor and semblance attributes along with conventional seismic mapping. The tensor attribute is more efficient in tracking volumes containing structural displacements while structurally-oriented semblance coherency is commonly disturbed by small waveform variations around the fault throw. We propose a workflow to map and cross-plot seismic waveform signal properties extracted from the seismic disturbance zone as a tool to investigate the seismic signature and explore seismic facies of a SDZ. |
| Keywords: | Seismic interpretation Fault structure Rock deformation Image processing Seismic attributes |
| 本文献已被 ScienceDirect 等数据库收录！ | |