摘要
油田勘探开发过程中采集的数据越来越多,传统的Java EE技术已经不能满足油田勘探开发的业务需求。本文结合HDFS分布式文件系统,提出了基于Hadoop的云平台数据存储结构模型,实现油田勘探开发数据的统一存储、查询、灾备和预警等功能,大大提升多表联合查询效率、消除多个数据库间的数据孤岛等问题。以6×10^(4)多口注入井所产生的数据记录为样本实现18个分散的数据库快速查询和管理优化,查询和分析效率提升了3倍左右,数据分析的时间从开始的10 min压缩到5 s,数据查询所需时间为秒级。通过建立油田勘探开发数据多维分析模型,实现了对储层的参数预测、流体性质识别、岩性识别等方向的宏观管理分析,满足高效的分析需求。该模型具有安全可靠性高、数据处理速度快、扩展性好等特点。
For oilfield exploration and development,data is the core element to realize optimization decision-making.More and more data are collected in the process of oilfield exploration and development,and the traditional Java EE technology can not meet the business needs of oilfield exploration and development.Combined with HDFS distributed file system,a Hadoop-based cloud platform data storage structure model is proposed to realize the unified storage,query,disaster recovery and early warning functions of oilfield exploration and development data,greatly improve the efficiency of multi-table joint query,and eliminate the data islands of multiple databases and other issues.Taking the data records generated by more than 6×10^(4) injection wells as sample to achieve rapid query and management optimization of 18 scattered databases,the query and analysis efficiency has been increased by about 3 times,and the data analysis time has been decreased from 10 minutes to 5 seconds.The query time is in the order of seconds.The establishment of the multi-dimensional analysis model of oilfield exploration and development data realizes the macro-management and analysis of reservoir parameter prediction,fluid property identification,lithology identification,etc.to meet the needs of efficient analysis.The multi-dimensional analysis model has high safety and reliability,fast data processing speed and good scalability.
作者
谯英
李代先
周少丹
QIAO Ying;LI Daixian;ZHOU Shaodan(School of Computer Science,Southwest Petroleum University,Chengdu,Sichuan 610500,China;The Second Gas Production Plant,PetroChina Changqing Oilfield Company,Yulin,Shaanxi 719000,China)
出处
《西安石油大学学报（自然科学版）》
CAS
北大核心
2021年第6期128-133,共6页
Journal of Xi’an Shiyou University（Natural Science Edition）
基金
国家青年科学基金项目“基于遥感大数据的汾渭平原空气质量时空特征及其驱动力研究与模拟”(62002286)
油气藏地质及开发工程国家重点实验室开放基金项目(PLN2021-23)。
