Seismic data regularization method based on Spark

The invention provides a seismic data regularization method based on Spark. The seismic data regularization method based on Spark comprises the following steps: step 1, setting parameters for regularization processing; step 2, segmenting the input gather data according to the parameters, and forming input data RDD by a plurality of obtained data slices; step 3, processing the input data RDD to obtain regularized data RDD; and step 4, averaging and merging the regularized data RDD to obtain result data RDD. Compared with the prior art, the seismic data regularization method based on Spark has the advantages of higher efficiency, simplicity in implementation, easiness in maintenance, support of mass data processing and the like. 本发明提供一种基于Spark的地震数据规则化方法，该基于Spark的地震数据规则化方法包括：步骤1，设置进行规则化处理的参数；步骤2，根据参数对输入道集数据进行切分，得到的若干个数据切片构成输入数据RDD；步骤3，对输入数据RDD进行处理，得到规则化数据RDD；步骤4，对规则化数据RDD进行求平均合并，得到结果数据RDD。该基于Spark的地震数据规则化方法与现有技术相比，具有效率更高、实现简洁、易于维护、支持海量数据处理等优点。