基于录井模型的文件存储优化研究

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中图分类号：TN927 文献标识码：A 文章编号：2096-4706（2025）23-0097-05

Abstract：Loggngfiles are the data foundationforlogging interpretation services.With the generation ofdaily logging databyDaqingDrillngGeologicalLoggingCompany，traditionalrelationaldatabasesarefarfrommetingactualproduction neds.To addressthis issue，this paper proposes an HDFS-based storage optimization scheme for logging files.The scheme establishs aclusterdata-logging modelmapping module andaflemerging module betwee the ClientandHDFS，andutilizes theLRUalgorithmtoimplementhotdatacaching.Inddition，basedonthemappingmodule，itintroducesanutomaticdata loading mechanism based onlogging models.Testresults show thatthe optimization schemecan provide efective support for interpretation services based on logging drawing models.

Keywords：HDFS; cluster data-logging model mapping; file merge; LRU algorithm; automatic loading

0 引言

地质钻探工作每口井每天大约产生100个左右录井数据文件，这些文件的大小主要集中在 3～500KB 之间。（剩余6459字）