油田开发数据的组织与处理

Organizing and Management of Oilfield Development Data

现场采集的数据只有在经过了数据整理、数据组织、数据处理、数据维护等过程后，才能最终转换成实际应用所需要的知识化数据，即信息。数据整理，是一个对不规范数据进行筛选，“去伪存真、去粗取精”的过程。而数据的组织与处理，则是数据转换过程的关键。它覆盖了产生合理的数据结构，数据的规范化、标准化，数据加载，质量控制，异地共享、统计汇总、数据重组乃至最终生成知识化数据的全过程。知识化数据若要正常使用，还必须依靠数据维护来完成对其的调整、更新、修改和补充。

Data collected in site can be eventually be converted to knowledged data which is required in practical application i．e information only after they have been processed organized and maintained． Data processing is a process of filtration of nonstandard data and a process of “eliminating the false and retaining the true discarding the dross and selecting the essential”． While organization and processing of data is the key to conversion of data which covers the whole process of producing reasonable data structure standardization of data data loading quality control remote sharing data summarizing data recomposition to eventually generating information． If the datamation data are to be used normally they must rely on adjustment updating modification and supplement accomplished by data maintenance．