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Format
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GeoRef Subject
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all geography including DSDP/ODP Sites and Legs
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Atlantic Ocean
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North Atlantic
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Caribbean Sea (1)
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Alaminos Canyon (1)
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De Soto Canyon (1)
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Garden Banks (20)
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North Sea
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Valhall Field (1)
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-
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South Atlantic
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Maurice Ewing Bank (1)
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-
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Caribbean region
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West Indies
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-
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Colombian Basin (1)
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Green Canyon (4)
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-
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turbidite (2)
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Primary terms
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Atlantic Ocean
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North Atlantic
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Caribbean Sea (1)
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Gulf of Mexico
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Alaminos Canyon (1)
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De Soto Canyon (1)
-
Garden Banks (20)
-
Mississippi Canyon (1)
-
-
North Sea
-
Valhall Field (1)
-
-
-
South Atlantic
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Maurice Ewing Bank (1)
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-
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bacteria (1)
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carbon
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C-13/C-12 (1)
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Caribbean region
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West Indies
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Bahamas (1)
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Cenozoic
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Quaternary
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Pleistocene
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lower Pleistocene (1)
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upper Pleistocene (1)
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Tertiary
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Neogene
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Paleogene
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Wilcox Group (1)
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-
-
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continental shelf (3)
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continental slope (4)
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data processing (3)
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Deep Sea Drilling Project
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IPOD
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Leg 68
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DSDP Site 502 (1)
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-
-
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deformation (1)
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diagenesis (2)
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ecology (2)
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economic geology (1)
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education (1)
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geochemistry (1)
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geophysical methods (12)
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hydrogen
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D/H (1)
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deuterium (1)
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-
Invertebrata
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Mollusca
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Bivalvia (2)
-
Gastropoda (1)
-
-
Protista
-
Foraminifera (2)
-
-
Vermes (1)
-
-
isotopes
-
stable isotopes
-
C-13/C-12 (1)
-
D/H (1)
-
deuterium (1)
-
-
-
Mexico
-
La Popa Basin (1)
-
-
North America
-
Gulf Coastal Plain (1)
-
-
Ocean Drilling Program
-
Leg 100
-
ODP Site 625 (1)
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-
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ocean floors (3)
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oceanography (1)
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oil and gas fields (4)
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paleomagnetism (1)
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petroleum
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natural gas (4)
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Plantae
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algae
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nannofossils (1)
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-
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reefs (1)
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remote sensing (1)
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sea-level changes (2)
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sedimentary petrology (1)
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sedimentary rocks
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carbonate rocks (1)
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clastic rocks
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sandstone (1)
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-
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sedimentary structures
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bedding plane irregularities
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ripple marks (1)
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biogenic structures
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banks (1)
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planar bedding structures
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cross-stratification (1)
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flaser bedding (1)
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laminations (1)
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-
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sedimentation (4)
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sediments
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clastic sediments
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sand (3)
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marine sediments (5)
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-
stratigraphy (1)
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tectonics
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salt tectonics (4)
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-
thallophytes (1)
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United States
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Louisiana (5)
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Texas (2)
-
-
well-logging (1)
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-
sedimentary rocks
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sedimentary rocks
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carbonate rocks (1)
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clastic rocks
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sandstone (1)
-
-
-
siliciclastics (1)
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turbidite (2)
-
-
sedimentary structures
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mounds (1)
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sedimentary structures
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bedding plane irregularities
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ripple marks (1)
-
-
biogenic structures
-
banks (1)
-
-
planar bedding structures
-
cross-stratification (1)
-
flaser bedding (1)
-
laminations (1)
-
-
-
-
sediments
-
sediments
-
clastic sediments
-
sand (3)
-
-
marine sediments (5)
-
-
siliciclastics (1)
-
turbidite (2)
-
GeoRef Categories
Era and Period
Epoch and Age
Book Series
Date
Availability
Garden Banks
Our seismic data are a kind of digital palimpsest: a manuscript written on imperfectly erased reused paper that contains multiple overlapping layers of writing. Each layer of writing has its own story; it may be fresh and distinct, easy to read, or broken up into fragments and faded into near invisibility. In our processing we typically pay the most attention to the data layer that we plan to use for imaging, and ignore the others to the extent that we can get away with doing so. The deeper layers become “noise”. However, the better we can understand the various layers of the data, the better we can turn each layer into either additional useful signal or structured (i.e. predictable) noise. Preserving the structure of the noise is important. It allows us to do better, possibly much better, than we could by treating it as Gaussian random noise. For random noise the best we can typically do is stacking. While stacking is a powerful tool, its noise-suppression abilities are effective only up to a point. Each incremental increase in the stack size N costs the same to acquire, yet results in ever less S/N improvement. Even worse, noise in real data often contains statistical outliers that will dominate over the noise-suppression power of stack as N becomes large. We can damage our data at every step of the process from acquisition to final delivered product. If you are not checking for problems, you may be unaware that anything is amiss. The next game-changing improvement in our ability to guide business decisions by producing higher-quality Earth images may only happen if we can treat our seismic data with greater scientific rigor than has been standard practice. The goal of this book is to teach you the skills that you will need to do that.