Research on A New Method for Separating Cold and Hot Seismic Data
With the development of new exploration technology,the application of machine learning is increasing,the volume of seismic data is increasing,and the storage resources are increasing.As the basic technology of database,cold and hot data separation technology divides data into hot data and cold data.Based on the cache replacement strategy,combined with LRU algorithm and LFU algorithm,and according to the seismic data processing law,a cold and hot separation strategy for seismic data processing in machine learning is designed.The application of cold and hot data separation technology on seismic data can effectively reduce the cost of storage hardware,reduce the storage burden of HPC cluster,and improve the efficiency of data processing.
cold and hot data separationseismic data processingcache replacement strategy
万方数据
维普
