地震资料处理流程大数据分析与应用  

The Big Data Analysis of Seismic Data Processing Flows

作　　者：张俊威 孙友凯[1] 刘芳[1] 邱小果[1] Zhang Junwei;Sun Youkai;Liu Fang;Qiu Xiaoguo(Geophysical Research Institute of Shengli Oilfiled Branch Co.,Dongying Shandong 257022)

机构地区：[1]胜利油田分公司物探研究院,山东东营257022

出　　处：《石化技术》2021年第6期136-138,共3页Petrochemical Industry Technology

摘　　要：提出了一种地震资料处理流程的大数据分析技术,通过构建大数据分析平台,对近十年来地震资料处理流程进行参数采集、数据处理和统计分析,实现了处理流程中隐含处理经验的发现与整理;结合处理生产中总结的标准地震资料处理流程,基于处理流程大数据分析结果,通过多种机器学习算法分析处理,实现了覆盖全处理阶段的处理流程智能化推荐。提出的地震资料处理流程智能推荐方法解决了处理模块参数功能和处理人员使用习惯多样性问题,推荐结果满足处理模块参数选取的逻辑性、功能性,效果令人满意。This paper presents a big data analysis technology for seismic data processing flows.Using the big data analysis platform,the seismic data processing flows in recent ten years are analyzed by parameter acquisition,data processing and statistics,and the discovery and collation of implicit processing experience in the processing process are completed;Based on the big data analysis results of processing flows and standard seismic data processing flows,the intelligent recommendation of the whole process is realized.The intelligent recommendation method of seismic data processing flow can resolve the diversification of processing module parameters,the recommended results can satisfy the logicality and functionality of processing module parameter selection,and the processing result is desirable.

关 键 词：地震资料处理 大数据 机器学习 聚类分析 智能推荐 

分 类 号：P631.44[天文地球—地质矿产勘探]