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用地震数据更好地约束井间储层模型已成为地震解释的一个重要目标。我们提出一种从地震资料求取软地质信息的方法,并通过刚果海上的一个实例来讨论其应用。该方法将地震相分析和统计标定技术相结合应用于储层段的地震属性特征道。我们建立了地震属性和储层特性间的统计关系,而储层特性是根据井及其相邻道组成的标定总数而确定的。相关的研究以典型相关分析技术为基础,而统计模型来自于标准地震变量和储层特性间的多变量回归,这些特性是可以预测的。在本文实例研究中,根据地震信息我们预测了与储层段有关的岩相累计厚度及其不确定性。我们进行了地震相识别,并比较了实例中全部数据组标定的地质预测结果和与每种地震相有关的地震道(和井)单独进行的标定结果。后一种方法根据地震信息极大地改善了地质估算,研究表明主要是由于油田范围内大比例的地质变化以及有关的地震变化。
The use of seismic data to better constrain the crosswell reservoir model has become an important goal of seismic interpretation. We propose a method of obtaining soft geologic information from seismic data and discuss its application through an example from the Congo Sea. This method applies seismic phase analysis and statistical calibration techniques to the seismic attributes of the reservoir. We establish statistical relationships between seismic attributes and reservoir properties, and reservoir properties are determined based on the total number of calibrations for wells and their adjacent tracks. Related research is based on canonical correlation analysis techniques, whereas the statistical model comes from multivariate regression between standard seismic variables and reservoir properties that are predictable. In the case study of this paper, based on the seismic information, we predict the accumulated thickness of the lithofacies related to the reservoir section and its uncertainty. We performed seismic facies identification and compared the geologic prediction results of all datasets in the example with the calibration results of seismic traces (and wells) associated with each seismic facies. The latter method has greatly improved the geological estimation based on the seismic information. Studies show that it is mainly due to a large proportion of geological changes in the field and related seismic changes.