Multi-azimuth and wide-azimuth seismic: Shallow to deep water, exploration to production

Barley, Brian; Summers, Tim

doi:10.1190/1.2723209

Cited by 29 publications

(3 citation statements)

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“…In the presence of complex terrains and buildings, variable observation systems lead to irregular seismic data acquisition: the distribution of offset and azimuth data, as well as the overall data coverage, tend to be uneven, affecting the quality of seismic imaging and resulting in false anomalies when thick seismic data are conventionally processed. In order to eliminate the difference between actual and ideal spatial sampling attributes, the seismic data were regularized in the OVT domain, ensuring that the seismic migration would not be affected by irregular spatial sampling [28,29]. After processing a Kirchhoff migration in the OVT domain, the COV (Common Offset Vector) gathers in the OVT domain were transformed back to the time-space domain by inverse transformation, obtaining the CRP (Common Reflection Point) gathers after anisotropic processing.…”

Section: Ovt Domain Interpolation Processingmentioning

confidence: 99%

Accurate Delimitation of Mine Goaves Using Multi-Attribute Comprehensive Identification and Data Fusion Technologies in 3D Seismic Exploration

Zhou,

Wu,

Zhang

et al. 2024

Applied Sciences

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Existing goaves (e.g., shafts and roadways) in mines represent important hidden dangers during the production of underlying coal seams. In this view, the accurate identification, analysis, and delimitation of the scope of goaves have become important in the 3D seismic exploration of mines. In particular, an accurate identification of the boundary swing position of goaves for 3D seismic data volumes within a certain depth interval is key and difficult at the same time. Here, a wide-band and wide-azimuth observation system was used to obtain high-resolution 3D seismic data. The complex structure of a mine was analyzed, and a seismic double processing system was applied to verify the fine processing effect of a goaf and improve the resolution of the 3D seismic data. Based on the seismic attribute identification characteristics of the goaf structure, we decided to adopt multi-attribute comprehensive identification and data fusion technologies to accurately determine the position of the goaf and of its boundary. Combining this information with the mine roadway engineering layout, we verified the accurateness and correctness of the goaf boundary location. Our study provides a good example of the accurate identification of the 3D seismic data of a roadway goaf.

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Section: Ovt Domain Interpolation Processingmentioning

confidence: 99%

Accurate Delimitation of Mine Goaves Using Multi-Attribute Comprehensive Identification and Data Fusion Technologies in 3D Seismic Exploration

Zhou,

Wu,

Zhang

et al. 2024

Applied Sciences

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“…Poor illumination can be detrimental in revealing and characterising hydrocarbon reservoirs. Hence, to improve target illumination, multi-azimuth (MAZ), wideazimuth (WAZ) and full-azimuth (FAZ) acquisitions have been suggested and demonstrated to be a viable solution (Barley and Summers, 2007).…”

Section: Introductionmentioning

confidence: 99%

Optimal stacking for multi-azimuth pre-stack seismic data

Hung¹,

Yin²

2012

ASEG Extended Abstracts

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“…(long offset, large offset) . (multi-azimuth), (wide-azimuth), (Ocean Bottom Seismometer) (Ocean Bottom Cable) (wide angle) (Barley and Summers, 2007). 3 2 , .…”

mentioning

confidence: 99%

Long Offset Seismic Data Processing for Deep Water Hydrocarbon Survey of Ulleung Basin, East Sea, Korea

Cheong¹,

Kim²,

Kim³

et al. 2013

ksmer

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Deep water multichannel seismic data requires optimal acquisition and processing parameter analysis for high-resolution imaging at the target depth. In this paper, we introduce deep water seismic acquisition and processing parameters for the long offset seismic survey conducted in 2010 on Ulleung basin, East Sea of which the water depth is over 1,400 m. 5,000 m streamer for the deep water seismic imaging is the longest one ever used by domestic survey team in Korea. Also we produced seismic stack section by adaptive processing including demultiple using Radon filter and velocity analysis module. Stack section revealed deep sediment layers which were not easily recognized on the conventional seismic section. Our result showed that multiple rejections and velocity analysis might be crucial to deep water seismic data processing for East Sea, Korea. To secure deep water seismic techniques in offshore Korea, various seismic data processing techniques need to be studied and this deep water seismic data can be used in the subsequent related researches.

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Multi-azimuth and wide-azimuth seismic: Shallow to deep water, exploration to production

Cited by 29 publications

References 0 publications

Accurate Delimitation of Mine Goaves Using Multi-Attribute Comprehensive Identification and Data Fusion Technologies in 3D Seismic Exploration

Accurate Delimitation of Mine Goaves Using Multi-Attribute Comprehensive Identification and Data Fusion Technologies in 3D Seismic Exploration

Optimal stacking for multi-azimuth pre-stack seismic data

Long Offset Seismic Data Processing for Deep Water Hydrocarbon Survey of Ulleung Basin, East Sea, Korea

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