石油地质研究中海量录井数据管理的数据库技术

在石油地质研究中,常需要处理、分析大量的测井、录井数据,并绘制单井柱状图及联井剖面图,进而对海量地质数据进行"单因素"统计、计算、对比和分析,以便于分析其沉积相及沉积环境。目前,由于地质数据的海量增长,常规的Excel电子表格管理模式已难以满足生产、科研的需求。以绘制柱状图中和单因素提取中数据处理为例,介绍关系型数据库技术对海量录井数据的管理和信息提取等技术,尤其是数据库的快速查询、修改、删除、统计和计算等功能的灵活使用,大大提高了工作效率,增强了数据的准确性和灵活性。实践证明,该方法是一种切实可行的科学管理方法,可以在地学研究中推广使用。

Database Technology of Massive Logging Data Management in Petroleum Geology

In petroleum geology study, it is need to analyze a large number of well logging data, and draw a single well histogram and the associated well profile. Then, it is to be calculated, compared, and analyzed the mass of geological data in order to analyze the sedimentary facies and depositional environment. At present, due to the massive growth of the geological data, the conventional Excel-spreadsheet management model has been difficult to meet the needs of production or scientific research. This paper introduced a way of massive logging data management and information extraction technology such as data processing in drawing a histogram and single factor extraction, especially by fast querying, modifying, deleting, statistic sing and computing, etc of Access relational database technology. Flexible using of the Access data which greatly improves efficiency enhanced data accuracy and flexibility. Practice had proved that the method was a viable scientific computing, and could be promoted in the use of Earth Sciences research.