SIMULTANEOUS WAVELET EXTRACTION AND DECONVOLUTION IN THE TIME DOMAIN
    1.
    发明申请
    SIMULTANEOUS WAVELET EXTRACTION AND DECONVOLUTION IN THE TIME DOMAIN 审中-公开
    时间域中同时提取的小波和解压缩

    公开(公告)号:WO2012134746A2

    公开(公告)日:2012-10-04

    申请号:PCT/US2012/028046

    申请日:2012-03-07

    CPC classification number: G01V1/364 G01V1/28 G01V2210/20

    Abstract: Blind wavelet extraction and de-convolution is performed on seismic data to enable its practical usage in seismic processing and to provide quality control of data obtained in areas where data from wells are not available. The wavelet extraction and deconvolution are realized in the time domain by iteration, producing a mixed phase wavelet with minimal prior knowledge of the actual nature of the wavelet. As a result of the processing, the de-convolved seismic reflectivity is obtained simultaneously.

    Abstract translation: 对地震数据进行盲小波提取和去卷积,使其在地震处理中的实际应用,并提供在井的数据不可用的地区获得的数据的质量控制。 通过迭代在时域中实现小波提取和去卷积,产生具有小波的实际性质的最小先验知识的混合小波。 作为处理的结果,同时获得去卷积的地震反射率。

    SEISMIC IMAGE ORIENTATION USING 3D INTEGRATION OPERATIONS

    公开(公告)号:WO2018204114A1

    公开(公告)日:2018-11-08

    申请号:PCT/US2018/028862

    申请日:2018-04-23

    Abstract: A separate three-dimensional (3D) integration filter mask if precomputed for each of x, y , and z dimensions with a given operator length. A portion of a 3D post- stack seismic data set is received for processing and loaded into a generated 3D-sub- cube. The separate 3D integration filter masks are applied to the loaded 3D-sub-cube to generate filtered 3D-sub-cube data. The square mean of the 3D-sub-cube is calculated to generate smoothed 3D-sub-cube data.

    PROCESSING GEOPHYSICAL DATA USING 3D NORM-ZERO OPTIMIZATION FOR SMOOTHING GEOPHYSICAL INVERSION DATA
    3.
    发明申请
    PROCESSING GEOPHYSICAL DATA USING 3D NORM-ZERO OPTIMIZATION FOR SMOOTHING GEOPHYSICAL INVERSION DATA 审中-公开
    使用三维正态优化处理地球物理数据来平滑地球物理反演数据

    公开(公告)号:WO2016153556A1

    公开(公告)日:2016-09-29

    申请号:PCT/US2015/056361

    申请日:2015-10-20

    Abstract: The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for processing geophysical data. One computer-implemented method includes obtaining a set of raw geophysical data, wherein the raw geophysical data include 3-Dimensional (3D) coordinates; grouping, by a data processing apparatus, the set of the raw geophysical data into a plurality of subsets; and processing, by the data processing apparatus, each subset of the raw geophysical data using a 3D norm zero objective energy function to generate a subset of smoothed geophysical data, wherein the smoothed geophysical data is used to build a subsurface model.

    Abstract translation: 本公开描述了用于处理地球物理数据的方法和系统,包括计算机实现的方法,计算机程序产品和计算机系统。 一种计算机实现的方法包括获得一组原始地球物理数据,其中原始地球物理数据包括三维(3D)坐标; 通过数据处理装置将原始地球物理数据的集合分组成多个子集; 并利用数据处理装置处理原始地球物理数据的每个子集,使用3D范数零目标能量函数来生成平滑的地球物理数据的子集,其中平滑的地球物理数据用于建立地下模型。

    REDUCING NOISE IN 3D SEISMIC DATA WHILE PRESERVING STRUCTURAL DETAILS
    4.
    发明申请
    REDUCING NOISE IN 3D SEISMIC DATA WHILE PRESERVING STRUCTURAL DETAILS 审中-公开
    在保存结构细节的情况下减少三维地震数据中的噪音

    公开(公告)号:WO2010132261A1

    公开(公告)日:2010-11-18

    申请号:PCT/US2010/033818

    申请日:2010-05-06

    Abstract: A system and method perform structure-preserving smoothing (SPS) using a data adaptive method for smoothing 3D post-stacked seismic attributes which reduces random noise while preserving the structure without prior computation of its orientation. The data is smoothe within a neighborhood sub-window along a set of predefined orientations, and the best smoothing result is then selected for output. The orientation corresponding to the best result often approximates the true structure orientation embedded in the data, so that the embedded structure is thus preserved. The SPS method can also be combined with median, alpha-trim, symmetric near neighbor, or edge-preserving filters. The SPS method is an effective way to reduce random noise and eliminate noise footprints, and to enhance coherence and curvature attributes.

    Abstract translation: 一种系统和方法使用数据自适应方法来执行结构保持平滑(SPS),用于平滑3D后堆叠地震属性,其减少随机噪声,同时保留结构而不事先计算其取向。 数据沿着一组预定义方向在邻域子窗口内平滑,然后选择最佳平滑结果进行输出。 对应于最佳结果的方向通常接近嵌入在数据中的真实结构方向,从而保持嵌入式结构。 SPS方法也可以与中值,alpha修剪,对称近邻或边缘保留滤波器组合。 SPS方法是减少随机噪声和消除噪声足迹的有效方法,并增强相干性和曲率属性。

    STRUCTURE-INDEPENDENT ANALYSIS OF 3-D SEISMIC RANDOM NOISE
    5.
    发明申请
    STRUCTURE-INDEPENDENT ANALYSIS OF 3-D SEISMIC RANDOM NOISE 审中-公开
    3-D地震随机噪声的结构独立分析

    公开(公告)号:WO2010016900A1

    公开(公告)日:2010-02-11

    申请号:PCT/US2009/004484

    申请日:2009-08-03

    CPC classification number: G06K9/0051 G01V1/362 G01V2210/32

    Abstract: A system and method identify and display random noise in three dimensional (3-D) seismic data utilizing a 3-D operator to reduce the effects of seismic structure on noise identification. The 3-D operator is derived using statements of required performance in 3-D. The 3-D operator is applied on a pixel-by-pixel basis to each of the pixels in the 3-D post- stacked data to display images in a 3-D display or to output an estimate of noise that is substantially independent of the image structure. The resulting display is generated in colors to indicate noise amplitude to facilitate location of noisy regions in the original display.

    Abstract translation: 系统和方法利用3-D算子在三维(3-D)地震数据中识别和显示随机噪声,以减少地震结构对噪声识别的影响。 3-D运算符是使用3-D中所需性能的语句导出的。 3-D操作符在逐像素的基础上应用于3-D堆叠后数据中的每个像素以在3-D显示器中显示图像或输出基本上独立于 图像结构。 产生的显示以颜色生成以指示噪声幅度,以便于原始显示中的噪声区域的定位。

    COMBINING MULTIPLE GEOPHYSICAL ATTRIBUTES USING EXTENDED QUANTIZATION
    6.
    发明申请
    COMBINING MULTIPLE GEOPHYSICAL ATTRIBUTES USING EXTENDED QUANTIZATION 审中-公开
    使用扩展定量组合多个地球物理属性

    公开(公告)号:WO2015047591A1

    公开(公告)日:2015-04-02

    申请号:PCT/US2014/051479

    申请日:2014-08-18

    CPC classification number: G01V1/345 G01V1/34

    Abstract: Four or more seismic attributes are integrated or merged into imaging formats and displayed for geological interpretation via extended quantization. Multi-attribute integration and classification improves the ability to identify geologic facies, and reservoir properties such as thickness, fluid type, or fracture intensity and orientation. The extended quantization groups up to eight attributes as a single attribute for geophysical data classification. Data group reduction criteria are provided to reveal common geological targets in the data, while preserving small variations or thin layers often found in hydrocarbon reservoirs. By combining multiple attributes, image quality is enhanced while providing analysts the ability to observe channels that might not be visible in any single attribute.

    Abstract translation: 将四个或更多的地震属性集成或合并为成像格式,并通过扩展量化显示用于地质解释。 多属性集成和分类提高了识别地质相的能力,以及储层性质,如厚度,流体类型或断裂强度和取向。 扩展量化组最多八个属性作为地球物理数据分类的单一属性。 提供数据组削减标准,以揭示数据中的常见地质目标,同时保留烃储层中常见的小变化或薄层。 通过组合多个属性,增强了图像质量,同时为分析人员提供了观察在任何单一属性中可能不可见的通道的能力。

    RESERVOIR PROPERTIES PREDICTION WITH LEAST SQUARE SUPPORT VECTOR MACHINE
    7.
    发明申请
    RESERVOIR PROPERTIES PREDICTION WITH LEAST SQUARE SUPPORT VECTOR MACHINE 审中-公开
    用最小二乘支持向量机预测储层性质

    公开(公告)号:WO2013048798A2

    公开(公告)日:2013-04-04

    申请号:PCT/US2012/055711

    申请日:2012-09-17

    CPC classification number: G01V1/282 G01V1/306 G01V99/00

    Abstract: Subsurface reservoir properties are predicted despite limited availability of well log and multiple seismic attribute data. The prediction is achieved by computer modeling with least square regression based on a support vector machine methodology. The computer modeling includes supervised computerized data training, cross-validation and kernel selection and parameter optimization of the support vector machine. An attributes selection technique based on cross-correlation is adopted to select most appropriate attributes used for the computerized training and prediction in the support vector machine.

    Abstract translation: 尽管测井记录和多个地震属性数据的可用性有限,但预测地下储层属性。 该预测通过基于支持向量机方法的最小二乘回归的计算机建模来实现。 计算机建模包括有监督的计算机化数据训练,交叉验证以及支持向量机的核心选择和参数优化。 采用基于互相关的属性选择技术来选择支持向量机中用于计算机化训练和预测的最合适的属性。

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