[HTML][HTML] S 变换谱分解技术在深反射地震弱信号提取中的应用

邓攻, 梁锋, 李晓婷, 赵俊猛, 刘红兵, 王洵 - 地球物理学报, 2015 - dsjyj.com.cn
在深反射地震资料处理中, 当来自深部的有效弱信号和噪声干扰频带差异较小且难以区分时,
传统滤波方法的应用会受到限制. 谱分解方法是一种使用离散傅里叶变换, 基于信号的频率 …

Application of machine learning algorithms in classification the flow units of the Kazhdumi reservoir in one of the oil fields in southwest of Iran

F Mohammadinia, A Ranjbar, M Kafi… - Journal of Petroleum …, 2023 - Springer
By determining the hydraulic flow units (HFUs) in the reservoir rock and examining the
distribution of porosity and permeability variables, it is possible to identify areas with suitable …

Detection of channel by seismic texture analysis using Grey Level Co-occurrence Matrix based attributes

R Mohebian, MA Riahi, O Yousefi - Journal of Geophysics and …, 2018 - academic.oup.com
Seismic attributes are useful tools for identifying and characterizing geological properties.
Seismic interpretation can be supported by seismic attribute analysis. Common seismic …

Using a time-frequency distribution to identify buried channels in reflection seismic data

A Nikoo, AR Kahoo, H Hassanpour… - Digital Signal Processing, 2016 - Elsevier
Geological events such as thin beds and channels cannot be easily revealed on seismic
sections due to the interference of reflections from the top and bottom of the layer. Buried …

Joint application of a statistical optimization process and empirical mode decomposition to magnetic resonance sounding noise cancelation

R Ghanati, M Fallahsafari, MK Hafizi - Journal of Applied Geophysics, 2014 - Elsevier
The signal quality of Magnetic Resonance Sounding (MRS) measurements is a crucial
criterion. The accuracy of the estimation of the signal parameters (ie E 0 and T 2⁎) strongly …

[HTML][HTML] 利用广义S 变换频谱分解不连续性检测技术预测断溶体油藏

姜晓宇, 宋涛, 杜文辉, 戴晓峰, 范兴燕 - 石油地球物理勘探, 2019 - html.rhhz.net
为了描述以杂乱相地震反射为特征的断溶体油藏, 在常规不连续性检测技术基础上,
采用结合相干技术与广义S 变换频谱分解的不连续性检测技术. 首先进行广义S …

S-transform spectrum decomposition technique in the application of the extraction of weak seismic signals

G DENG, F LIANG, XT LI, JM ZHAO, HB LIU… - Chinese Journal of …, 2015 - en.dzkx.org
In processing of deep seismic reflection data, when the frequency band difference between
the weak useful signal and noise both from the deep subsurface is very small and hard to …

[PDF][PDF] Detecting geological structures in seismic volumes using deep convolutional neural networks

Y Jiang - Master's thesis, 2017 - publica-rest.fraunhofer.de
To locate the oil and gas reservoirs, seismic surveys need to be carried out and detailed
interpretation need to be done by geophysicists. In this chapter, basic knowledge of seismic …

A depth-variant wavelet extraction method based on the orthogonal matching pursuit for direct inversion

R Cai, C Sun - Geoenergy Science and Engineering, 2024 - Elsevier
The results of pre-stack depth migration reflect subsurface structures directly. However, it is
an urgent geophysical problem that how to deal with this non-stationarity exhibited by depth …

[PDF][PDF] Application of Coherence Attribute for Prospect Identification

AP Ngeri, OA Davies, D Tamunosiki - Journal of Scientific and …, 2024 - researchgate.net
Structural features, such as faults, acts as traps and a conduit for the migration of
hydrocarbon, while stratigraphic features, such as channels and point bars act as reservoirs …