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利用地震资料较好地约束井间储层模型已成为地震解释的重要目标。 我们提出了一种由地震资料导出软地质信息的方法,通过刚果浅海的史例研究讨论了该方法的应用。研究中将地震相分析与应用于储层层位上的地震属性描述的统计标定技术结合起来。在井及其邻近地震道的标定域内,我们建立了地震属性和储层特征间的统计关系。相关研究是以典型的相关分析技术为基础,统计模型是由典型地震变量与储层性质间的多元回归得到的,这些参量均可以预测。 在史例研究中,我们由地震信息预测了储层范围内累计的岩相厚度的估计值及其不确定度。我们完成了地震相分析,并比较了在整个数据集上进行标定以及在与每一地震相相关的地震道(和井)上分别完成标定情况下的地质预测结果。用后一种方法由地震信息得到的地质估值明显得到改善,其主要原因是它能考虑实际大尺度地质变化。
The use of seismic data to better constrain the inter-well reservoir model has become an important goal of seismic interpretation. We propose a method of deriving soft geologic information from seismic data and discuss the application of this method through a case study of the shallow Congo Basin. In the study, seismic phase analysis was combined with statistical calibration techniques used to describe the seismic attributes on the reservoir horizon. In the calibration domain of the well and its adjacent seismic traces, we establish the statistical relationship between seismic attributes and reservoir characteristics. Relevant studies are based on typical correlation analysis techniques. Statistical models are derived from multiple regression between typical seismic variables and reservoir properties, all of which can be predicted. In the case study, we estimate the accumulated lithofacies thickness estimates and their uncertainties from the seismic data. We completed the seismic facies analysis and compared the results of the geologic prediction on the entire dataset with the calibrations performed separately on the seismic traces (and wells) associated with each seismic phase. The latter method has significantly improved the geological valuation derived from the seismic information, mainly because it can take into account the actual large-scale geological changes.