- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
- Abstract
- Affiliation
- All
- Authors
- Book Series
- DOI
- EISBN
- EISSN
- Full Text
- GeoRef ID
- ISBN
- ISSN
- Issue
- Keyword (GeoRef Descriptor)
- Meeting Information
- Report #
- Title
- Volume
NARROW
GeoRef Subject
-
all geography including DSDP/ODP Sites and Legs
-
Arctic Ocean
-
Norwegian Sea (1)
-
-
Permian Basin (1)
-
United States
-
Oklahoma (1)
-
Texas
-
Ector County Texas (1)
-
Midland Basin (1)
-
Midland County Texas (1)
-
-
-
-
commodities
-
petroleum (4)
-
-
geologic age
-
Paleozoic
-
Carboniferous
-
Mississippian (1)
-
-
Permian
-
Lower Permian (1)
-
-
Woodford Shale (1)
-
-
-
Primary terms
-
Arctic Ocean
-
Norwegian Sea (1)
-
-
data processing (1)
-
fractures (2)
-
geophysical methods (7)
-
Paleozoic
-
Carboniferous
-
Mississippian (1)
-
-
Permian
-
Lower Permian (1)
-
-
Woodford Shale (1)
-
-
petroleum (4)
-
sedimentary rocks
-
carbonate rocks
-
limestone (1)
-
-
-
sedimentary structures
-
planar bedding structures
-
bedding (1)
-
laminations (1)
-
-
-
United States
-
Oklahoma (1)
-
Texas
-
Ector County Texas (1)
-
Midland Basin (1)
-
Midland County Texas (1)
-
-
-
well-logging (2)
-
-
sedimentary rocks
-
sedimentary rocks
-
carbonate rocks
-
limestone (1)
-
-
-
-
sedimentary structures
-
sedimentary structures
-
planar bedding structures
-
bedding (1)
-
laminations (1)
-
-
-
URTeC returns to the Rockies — We came, we saw, we conquered
URTeC 2019: Returning to our roots in the Rockies
Introduction to this special section: Unconventional case studies
Conference Review: Energy and excitement abound at URTeC 2018
Geophysical data processing, rock property inversion, and geomechanical model building in a Midland Basin development project, Midland/Ector counties, Texas
Introduction to special section: Seismic inversion — Conventional seismic impedance inversion and advanced seismic inversion techniques: Developments, workflow, and case studies
Introduction to special section: Seismic data conditioning
Integration of completion data, microseismic data, downhole logs, and multicomponent seismic data in the Mississippi Lime, north-central Oklahoma
The Effects of Seismic Data Conditioning on Prestack Simultaneous Impedance Inversion
Abstract The demands that reservoir characterization places on seismic data far outweigh those of traditional structural interpretation. Because of this, gather conditioning is seen by many as a prerequisite to prestack inversion. This paper discusses three conditioning processes—signal/noise (S/N) improvement, stretch removal, and reflector alignment. It then seeks to document the improvements that these processes achieve in the gathers and in prestack inversion. Specifically, the gathers were measured for AVO fit using a 2-term Shuey equation and found to be improved by 20%. A comparison of wavelets extracted from each angle stack found the high frequency limit of stable phase to have increased from 30 Hz to 50 Hz. The far angle stack seismic/synthetic inversion residuals showed a 43% drop in amplitude and completely different frequency and reflector character following gather conditioning. Finally, the acoustic impedance (AI) vs. shear impedance (SI) cross-plot showed a much more compact signature that allowed more definitive lithology and pay discrimination. Conversely, the raw data cross-plot contained noisy data that erroneously entered into the area of the cross-plot where the pay signature lay. Geobodies captured from improperly conditioned data are thus (1) inflated in size by 62%, and (2) have lower impedances than is justified from well control. These errors, in turn, would lead to incorrect rock property (hydrocarbon saturation and porosity estimation) and reserve estimations.