Accurate poststack acoustic-impedance inversion by well-log calibration
Accurate poststack acoustic-impedance inversion by well-log calibration
复制标题
通过测井校准精确叠后声阻抗反演
作者：
地震波阻抗反演问题是欠约束固有的，不允许使用严格的联合反演。在没有真正的逆的情况下，可以通过定义所得到的图像应该满足的一组物理约束来获得不受主观参数影响的可靠解。提出了一种用于构造合成测井曲线的方法，该方法明确且准确地满足（1）卷积方程，（2）地震数据的时间-深度约束，（3）来自测井曲线或地震/地质解释的背景低频模型，以及（4）来自空间内插测井曲线的谱幅度和地质统计信息。所得到的合成测井剖面或体积可以以标准方式解释。与广泛使用的联合反演算法不同，该方法不包含主观选择的用户参数，更完整地利用测井数据，并评估中间结果。该过程简单且对噪声具有耐受性，并且它导致更高分辨率的图像。分离地震频带和次地震频带还简化了用于声阻抗（AI）反演的数据处理。例如，不需要对地震数据进行零相位反褶积和真振幅处理，而是自动包含在该方法中。该方法适用于二维和三维数据集和多个叠前和叠后地震属性。它已被测试的AI和真振幅反射率反演使用2D合成和实际数据的例子。
The seismic-impedance inversion problem is underconstrained inherently and does not allow the use of rigorous joint inversion. In the absence of a true inverse, a reliable solution free from subjective parameters can be obtained by defining a set of physical constraints that should be satisfied by the resulting images. A method for constructing synthetic logs is proposed that explicitly and accurately satisfies (1) the convolutional equation, (2) time-depth constraints of the seismic data, (3) a background low-frequency model from logs or seismic/geologic interpretation, and (4) spectral amplitudes and geostatistical information from spatially interpolated well logs. The resulting synthetic log sections or volumes are interpretable in standard ways. Unlike broadly used joint-inversion algorithms, the method contains no subjectively selected user parameters, utilizes the log data more completely, and assesses intermediate results. The procedure is simple and tolerant to noise, and it leads to higher-resolution images. Separating the seismic and subseismic frequency bands also simplifies data processing for acoustic-impedance (AI) inversion. For example, zero-phase deconvolution and true-amplitude processing of seismic data are not required and are included automatically in this method. The approach is applicable to 2D and 3D data sets and to multiple pre- and poststack seismic attributes. It has been tested on inversions for AI and true-amplitude reflectivity using 2D synthetic and real-data examples.
登录
查看更多内容
影响因子：
3.3
作者：
S. Mallick
通讯作者：
S. Mallick
DOI：
10.1016/s0074-6142(08)x6008-5
发表时间：
1984
期刊：
--
影响因子：
--
作者：
W. Menke
通讯作者：
W. Menke
DOI：
10.1190/1.1815711
发表时间：
2000
期刊：
Seg Technical Program Expanded Abstracts
影响因子：
--
作者：
S. Lancaster;D. Whitcombe
通讯作者：
S. Lancaster;D. Whitcombe
影响因子：
3.3
作者：
B. Cerney;D. Bartel
通讯作者：
B. Cerney;D. Bartel
影响因子：
3.3
作者：
S. Ghosh
通讯作者：
S. Ghosh