CAJ | 학술논문

在油气勘探生产信息系统建设过程中，由于涵盖勘探、开发和工程等业务，上报数据项多，数据量大和上报方式多样化的情况，容易出现上报数据类型不规范、数据精度不统一、数据统计时间不一致、相互关联的数据项不满足业务规则的问题。为解决这些问题，总结出数据项校验、列校验、行校验、跨表校验、历史数据校验和奇异值校验六种数据校验方法及组合式数据校验方法，并在跨业务和跨时间对比与奇异值分析上设计出符合石油勘探生产行业的校验规则。在此基础上，研发了可配置易维护的封装技术，提高了数据校验方法的实施效率。
재유기감탐생산신식계통건설과정중，유우함개감탐、개발화공정등업무，상보수거항다，수거량대화상보방식다양화적정황，용역출현상보수거류형불규범、수거정도불통일、수거통계시간불일치、상호관련적수거항불만족업무규칙적문제。위해결저사문제，총결출수거항교험、렬교험、행교험、과표교험、역사수거교험화기이치교험륙충수거교험방법급조합식수거교험방법，병재과업무화과시간대비여기이치분석상설계출부합석유감탐생산행업적교험규칙。재차기출상，연발료가배치역유호적봉장기술，제고료수거교험방법적실시효솔。
In the construction of some information system for oil&gas exploration and production, it’s likely to result in irregularity of reported data types, disunity of data accuracy, inconsistency of data statistics and dissatisfaction of interrelated data items to business rules. This is mainly due to the coverage of exploration, development and engineering business, the large quantity of reported data items and data, as well as the variety of reported ways. In order to solve these problems, we summarize six verification methods including data item, column, row, cross multi-table, historical data, Singular Value, and also their combined verification methods. We also design some verification policy on cross-business and cross-time comparison and Singular value analysis, which is in accord with petroleum exploration and production industry. On this basis, we further develop encapsulated technology of configuration and maintenance. It promotes the implementation efficiency of verification method.