文件名称:Frequency-dependent-noise-attenuatio
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- 能源行业(电力石油煤炭)
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- 2013-12-12
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地震资料 数据处理 分频去噪 模块 主要压制随机噪音 异常振幅 野值 大值
方法特点:1 针对性强,主要去除随机噪音;2 随机噪音识别能力强,达到了较高的去噪水平;3 具有自适应性,能根据不同位置的不同特点统计识别噪音;4 振幅保真,对有效信号的保护性好;5 操作者可根据经验选择参数组合灵活去噪,达到较好的结果。
应用对比:为了展示本模块的去噪效果,所选取的对比对象是某知名成熟商业软件的分频去噪模块,其去噪效果在当前诸多成熟软件模块中是佼佼者,在地震资料处理界具有很好的口碑。
通过对比,说明本模块:1 针对性强,主要去除随机噪音和异常振幅等。2 随机噪音识别能力强,达到了较高的去噪水平。3 具有自适应性,能根据不同位置的不同特点统计识别噪音。4 振幅保真,对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪,达到较好的结果。-Frequency-dependent noise attenuation
seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values
Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results .
Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation.
By contrast, the descr iption of the module : a targeted, mai
方法特点:1 针对性强,主要去除随机噪音;2 随机噪音识别能力强,达到了较高的去噪水平;3 具有自适应性,能根据不同位置的不同特点统计识别噪音;4 振幅保真,对有效信号的保护性好;5 操作者可根据经验选择参数组合灵活去噪,达到较好的结果。
应用对比:为了展示本模块的去噪效果,所选取的对比对象是某知名成熟商业软件的分频去噪模块,其去噪效果在当前诸多成熟软件模块中是佼佼者,在地震资料处理界具有很好的口碑。
通过对比,说明本模块:1 针对性强,主要去除随机噪音和异常振幅等。2 随机噪音识别能力强,达到了较高的去噪水平。3 具有自适应性,能根据不同位置的不同特点统计识别噪音。4 振幅保真,对有效信号的保护性好。5 操作者可根据经验选择参数组合灵活去噪,达到较好的结果。-Frequency-dependent noise attenuation
seismic data, processing module, is mainly to suppress random noise, denoising abnormal/large amplitude values
Method of characteristics: 1 targeted, mainly to remove random noise 2 random noise and strong ability to identify , reach a higher level of de-noising 3 is adaptive , able to identify the noise statistics according to the different characteristics of different positions 4 amplitude fidelity , the effective protection of the signal is good 5 denoising operator flexibility to select the combination of parameters according to the experience , to achieve better results .
Application contrast: To demonstrate the effect of the de-noising module , the selected object is a well-known comparative commercial software divide mature noising module de-noising effect is the current leader in many mature software module in seismic data processing industry has a good reputation.
By contrast, the descr iption of the module : a targeted, mai
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Frequency-dependent noise attenuatio.pdf