地震属性应用在GF42中的实现.ppt

* 提取调协频率 运行分频 地震解释 分 层 求取净厚度 估算净厚度流程 净厚度与调谐频率的相关性分析 调谐频率 (Hz) 净厚度 (ft) 提取调协频率 运行分频 地震解释 分 层 求取净厚度 估算净厚度流程 净厚度图 净厚度与调谐频率的相关性分析 净厚度 (ft) 提取调协频率 运行分频 地震解释 分 层 求取净厚度 估算净厚度流程 讨论问题 * The patch will not be a full install which will make it easy to deploy * * * Repeated windows are another new powerful option in the SATK. In a single run you can calculate multiple windows of multiple attributes. The windows can be fixed or ran in between 2 unconformal horizons (seismic interpreters refer to this option as “strata-slices”) * Repeated windows are another new powerful option in the SATK. In a single run you can calculate multiple windows of multiple attributes. The windows can be fixed or ran in between 2 unconformal horizons (seismic interpreters refer to this option as “strata-slices”) * With seismic it works in a similar way. We input a seismic volume – the input can be a constant range of times. Or you can select a horizon and a time window around it (It is also possible to run between 2 horizons). After running spectral decomposition, the result is also a seismic volume, but now it is frequency indexed. So instead of the samples being 4 ms, 8 ms, 12 ms, etc… the samples of this cube are for example 5 Hz, 10 Hz, 15 Hz, etc… In the same way you create time slices on a normal seismic cube, you can create frequency slices on the frequency cube. These frequency slices provide valuable information about the reservoir and may indicate potential traps for hydrocarbons. All of the above is done in a single step. In other spectral decomposition applications in the market, you must extract the frequency slices in a separate step. GeoFrame spectral decomposition saves you time by avoiding this unnecessary step. And the results are immediately available in GF, so you do not waste time with unnecessary input/output of information. * So how does it work? The algorithm is based on a Schlumberger proprietary algorithm called the Cosine Correlation Transform. The method runs a cross-corr