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公开(公告)号:US09334718B2
公开(公告)日:2016-05-10
申请号:US12652405
申请日:2010-01-05
CPC分类号: E21B43/26 , G01V1/288 , G01V2210/123
摘要: Automatic detection and accurate time picking of weak events embedded in strong noise such as microseismicity induced by hydraulic fracturing is accomplished by: a noise reduction step to separate out the noise and estimate its spectrum; an events detection and confidence indicator step, in which a new statistical test is applied to detect which time windows contain coherent arrivals across components and sensors in the multicomponent array and to indicate the confidence in this detection; and a time-picking step to accurately estimate the time of onset of the arrivals detected above and measure the time delay across the array using a hybrid beamforming method incorporating the use of higher order statistics. In the context of hydraulic fracturing, this could enhance the coverage and mapping of the fractures while also enabling monitoring from the treatment well itself where there is usually much higher and spatially correlated noise.
摘要翻译: 自动检测和精确时间采集嵌入强噪声(如水力压裂引起的微震)的弱事件是通过以下方式实现的:通过降噪步骤分离噪声并估计其频谱; 事件检测和置信指标步骤,其中应用新的统计测试以检测哪个时间窗口包含多组件阵列中的组件和传感器之间的相干到达,并指示该检测的置信度; 以及精确估计上述检测到达时间的时间选择步骤,并且使用结合使用更高阶统计量的混合波束成形方法来测量阵列上的时间延迟。 在水力压裂的背景下,这可以增强裂缝的覆盖和映射,同时还能够从处理井本身进行监测,其中通常有更高的空间相关噪声。
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公开(公告)号:US20100228530A1
公开(公告)日:2010-09-09
申请号:US12652405
申请日:2010-01-05
IPC分类号: G06F17/10
CPC分类号: E21B43/26 , G01V1/288 , G01V2210/123
摘要: Automatic detection and accurate time picking of weak events embedded in strong noise such as microseismicity induced by hydraulic fracturing is accomplished by: a noise reduction step to separate out the noise and estimate its spectrum; an events detection and confidence indicator step, in which a new statistical test is applied to detect which time windows contain coherent arrivals across components and sensors in the multicomponent array and to indicate the confidence in this detection; and a time-picking step to accurately estimate the time of onset of the arrivals detected above and measure the time delay across the array using a hybrid beamforming method incorporating the use of higher order statistics. In the context of hydraulic fracturing, this could enhance the coverage and mapping of the fractures while also enabling monitoring from the treatment well itself where there is usually much higher and spatially correlated noise.
摘要翻译: 自动检测和精确时间采集嵌入强噪声(如水力压裂引起的微震)的弱事件是通过以下方式实现的:通过降噪步骤分离噪声并估计其频谱; 事件检测和置信指标步骤,其中应用新的统计测试以检测哪个时间窗口包含多组件阵列中的组件和传感器之间的相干到达,并指示该检测的置信度; 以及精确估计上述检测到达时间的时间选择步骤,并且使用结合使用更高阶统计量的混合波束成形方法来测量阵列上的时间延迟。 在水力压裂的背景下,这可以增强裂缝的覆盖和映射,同时还能够从处理井本身进行监测,其中通常有更高的空间相关噪声。
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公开(公告)号:US5594706A
公开(公告)日:1997-01-14
申请号:US170567
申请日:1993-12-20
申请人: Ramachandra Shenoy , Shu-Kong Chang
发明人: Ramachandra Shenoy , Shu-Kong Chang
CPC分类号: G01V1/48
摘要: Methods for processing sonic logging data obtained by a sonic imaging tool or an MWD tool are provided. The sonic logging data are bandpass filtered and sampled according to techniques such as integer band decimation, quadrature modulation, and single side band modulation to provide compressed signals which can be reconstructed if desired. The compressed signals are alternatively stored for downloading and further processing, sent uphole for processing, or processed downhole. The processing preferably involves processing the analytic portion of the compressed signals according to an improved semblance processing technique where the semblance function is calculated over a time window utilizing coarse slowness and time sampling steps. The slowness and time sampling steps are dictated by the parameters of the bandpass filter and the inter-receiver spacing of the tool. The waveform for each receiver is preferably interpolated based on the time step size to provide those data points necessary for stacking. From the determined semblance peaks, or interpolation thereabout, the formation slowness is derived.
摘要翻译: 提供了用于处理由声波成像工具或MWD工具获得的声波测井数据的方法。 根据诸如整数带抽取,正交调制和单边带调制的技术对声波测井数据进行带通滤波和采样,以提供可以根据需要重建的压缩信号。 压缩信号交替存储用于下载和进一步处理,发送到井上进行处理或在井下处理。 该处理优选地涉及根据改进的相似处理技术对压缩信号的分析部分进行处理,其中利用粗略的慢度和时间采样步骤在时间窗口上计算相似度函数。 慢度和时间采样步骤由带通滤波器的参数和工具的接收器间距决定。 优选地,基于时间步长来对每个接收机的波形进行内插以提供堆叠所需的那些数据点。 从确定的外形峰值或其周围的插值,导出形成慢度。
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