SEG Technical Program Expanded Abstracts 2010 2010
DOI: 10.1190/1.3513096
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Sub‐seismic faults detection and characterization using Seismic Continuity Analysis in Mauddud Formation, Burgan Field

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Cited by 2 publications
(3 citation statements)
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“…Parameter choices in the workflow enable targeting of different scales of fault, fracture, and discontinuity featuresdranging from large scale (e.g., regional faulting) to small scale (e.g., fracture networks). Detection and characterization of fracture features below seismic resolution has previously been reported using a multi-attribute seismic approach (Jyoti et al, 2010). Potentially, sub-seismic resolution features can be tracked by the algorithm provided there is an associated discontinuity that has sufficient spatial extent that the Ants can follow.…”
Section: Methodsmentioning
confidence: 98%
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“…Parameter choices in the workflow enable targeting of different scales of fault, fracture, and discontinuity featuresdranging from large scale (e.g., regional faulting) to small scale (e.g., fracture networks). Detection and characterization of fracture features below seismic resolution has previously been reported using a multi-attribute seismic approach (Jyoti et al, 2010). Potentially, sub-seismic resolution features can be tracked by the algorithm provided there is an associated discontinuity that has sufficient spatial extent that the Ants can follow.…”
Section: Methodsmentioning
confidence: 98%
“…dAt this stage, efforts are made to enhance spatial discontinuities associated with faulting and fractures and to suppress random and coherent noise, which generally obscures the "real" structural image or can create a false structure. Generally, discontinuity attributes used for fracture detection are very sensitive to seismic noise (Jyoti et al, 2010), and experience shows that targeted preconditioning significantly improves the quality of the attribute generated in subsequent steps . Application of surface orientated filtering e.g.…”
Section: Ant Tracking On the Jip_ac21 Seismic Cubementioning
confidence: 99%
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