The analytic wavelet transform with generalized Morse wavelets to detect fluvial channels in the Bohai Bay Basin, China

Geophysics ◽  
2016 ◽  
Vol 81 (4) ◽  
pp. O1-O9 ◽  
Author(s):  
Zhiguo Wang ◽  
Jinghuai Gao ◽  
Ping Wang ◽  
Xiudi Jiang
Keyword(s):  
Wavelet Transform ◽  
Seismic Data ◽  
Spectral Decomposition ◽  
Bohai Bay ◽  
3D Seismic ◽  
Bohai Bay Basin ◽  
Significant Information ◽  
Time Frequency ◽  
Analytic Wavelet ◽  
3D Seismic Data

The Middle Miocene Minghuazhen Formation of the Bohai Bay Basin is dominated by fluvial channels and shallow-lacustrine deltaic systems. These depositional facies, along with complex postdepositional faulting, make it difficult to detect fluvial channels. As a useful seismic attribute to solve this problem in the Bohai Bay Basin, spectral decomposition of 3D seismic data can provide significant information to understand the subsurface fluvial channels. The analytic wavelet transform (AWT) is a promising approach for implementing spectral decomposition to provide a detailed time-frequency representation. In particular, by varying two parameters (beta and gamma) controlling the wavelet forms, the generalized Morse wavelets (GMWs) can be given a broad range of characteristics while remaining exactly analytic. To detect fluvial channels with thickness around and lower than the tuning thickness, we have proposed a suitable (beta = 1 and gamma = 3) pair of parameters for GMWs because such an exactly analytic Morse wavelet substantially outperforms the approximately analytic Morlet wavelet for high time localization. We have applied the AWT with a GMW (beta = 1 and gamma = 3) to 3D seismic data in the Lower Minghuazhen Formation, Bohai Bay Basin, China. The stratal slicing of spectral decomposition volumes at depositional cycle 2 of the Lower Minghuazhen Formation shows its potential for channel interpretation and the optimization of well patterns.

Salt structures in the Laizhouwan depression, offshore Bohai Bay basin, eastern China: New insights from 3D seismic data

2009 ◽  
Vol 26 (8) ◽  
pp. 1600-1607 ◽  
Author(s):  
Yixin Yu ◽  
Xinhuai Zhou ◽  
Liangjie Tang ◽  
Wenxu Peng ◽  
Dingyou Lu ◽  
...  
Keyword(s):  
Seismic Data ◽  
Eastern China ◽  
Bohai Bay ◽  
3D Seismic ◽  
Bohai Bay Basin ◽  
3D Seismic Data

3D seismic data attribute-based characterization of volcanic reservoirs in the BZ34-9 Block, Bohai Bay Basin, eastern China

Geophysics ◽  
2020 ◽  
Vol 85 (3) ◽  
pp. IM1-IM13
Author(s):  
Hongtao Zhu ◽  
Zhiwei Zeng ◽  
Hongliu Zeng ◽  
Changgui Xu
Keyword(s):  
Seismic Data ◽  
Eastern China ◽  
Seismic Facies ◽  
Bohai Bay ◽  
3D Seismic ◽  
Bohai Bay Basin ◽  
Eruption Style ◽  
Volcanic Facies ◽  
3D Seismic Data

Volcanic effusive facies (VEF) and volcanic conduit facies (VCF) are two important facies units that can be found in a volcanic reservoir or edifice. Because VEF and VCF generally exhibit opposing seismic reflection characteristics, few studies have been applied to simultaneous characterization of the two facies in seismic data. We have developed an integrated 3D seismic data attribute-based characterization technique of VEF and VCF in the BZ34-9 Block, Bohai Bay Basin, eastern China. Our method is based mainly on the 3D visualization of a thresholding display so as to separately describe the strong-amplitude reflection of the VEF with its original amplitude attribute and the weak-amplitude chaotic reflection of the VCF with its variance-cube attribute. The detailed workflow comprises four steps, including seismic facies analysis, characterization of the VEF, characterization of the VCF, and merging a display of the two volcanic-facies units. The resulting 3D image of the different volcanic facies described in the BZ34-9 Block should be able to be viewed from any perspective for a better understanding of the related genesis mechanisms of the first and second members of the Shahejie (Es12) and Dongying Formations (Ed). In total, 28 volcanic edifices have been identified on the basis of the proposed method, among which three volcanic edifices exhibited inherited eruptions, in the Es12 and the Ed. Volcanic edifices in the Es12 are distributed locally in the central part of the BZ34-9 Block, showing a central eruption style, whereas those of the Ed are characterized by a widespread distribution in the southern gentle slope of the BZ34-9 Block, revealing a composite, center-fissure eruption style. The approach should be convenient to operate and would be effective in characterizing different volcanic facies simultaneously. This application can serve as a useful reference for other basins or regions with obvious volcanic influence.

Analysis of strike-slip fault zone using multiazimuth 3D seismic data: A case study on the western Offshore Bohai Bay

2012 ◽  
Author(s):  
Zhiqiang Zhang ◽  
Donghong Zhou ◽  
Liqun Jiang ◽  
Wenxu Peng ◽  
Deying Wang
Keyword(s):  
Fault Zone ◽  
Seismic Data ◽  
Strike Slip ◽  
Strike Slip Fault ◽  
Bohai Bay ◽  
3D Seismic ◽  
3D Seismic Data

Wavelet transform with generalized beta wavelets for seismic time-frequency analysis

Geophysics ◽  
2017 ◽  
Vol 82 (4) ◽  
pp. O47-O56 ◽  
Author(s):  
Zhiguo Wang ◽  
Bing Zhang ◽  
Jinghuai Gao ◽  
Qingzhen Wang ◽  
Qing Huo Liu
Keyword(s):  
Wavelet Transform ◽  
Frequency Analysis ◽  
Seismic Data ◽  
Significant Information ◽  
Trade Off ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Reflection Seismic ◽  
Seismic Waveform ◽  
Frequency Representation

Using the continuous wavelet transform (CWT), the time-frequency analysis of reflection seismic data can provide significant information to delineate subsurface reservoirs. However, CWT is limited by the Heisenberg uncertainty principle, with a trade-off between time and frequency localizations. Meanwhile, the mother wavelet should be adapted to the real seismic waveform. Therefore, for a reflection seismic signal, we have developed a progressive wavelet family that is referred to as generalized beta wavelets (GBWs). By varying two parameters controlling the wavelet shapes, the time-frequency representation of GBWs can be given sufficient flexibility while remaining exactly analytic. To achieve an adaptive trade-off between time-frequency localizations, an optimization workflow is designed to estimate suitable parameters of GBWs in the time-frequency analysis of seismic data. For noise-free and noisy synthetic signals from a depositional cycle model, the results of spectral component using CWT with GBWs display its flexibility and robustness in the adaptive time-frequency representation. Finally, we have applied CWT with GBWs on 3D seismic data to show its potential to discriminate stacked fluvial channels in the vertical sections and to delineate more distinct fluvial channels in the horizontal slices. CWT with GBWs provides a potential technique to improve the resolution of exploration seismic interpretation.

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