Design And Achievement Of The Data Quaility Analysis Assessment Model

This thesis is focus on data quantity management examinable method singularity, timely, veracity level is inadequate and management is difficult in oil field. Research and exploitation on the item is summarize, conclude, abstract pivotal characteristic index which is influence data quantity. Via modeling mathematical model, constructing data quantity definition model, modeling analysis model, modeling estimate model, on the base of data quantity analysis evaluation process method , arithmetic and metadata, we have programmed software for data quantity analysis evaluation process system. The system can produce result report on data quantity analysis, data quantity evaluation process, data management and commend quantity control. The users can access respective datasheet, data system species and data quantity analysis evaluation process result, so we can processing data quantity control better, consummating the applications in data quantity, forming logical applications management order, constructing data quantity analysis evaluation process system in oil field exploitation.The research content are the following:1. Putted forward data quantity definition model. Data quantity can be scaled by usable redundancy, integrality, veracity, consistency, deepness and betimes.2. Putted forward data quantity control standard definition model, demonstrating data quantity control standard in oil field exploitation.3. Formed metadata model of data quantity analysis evaluation process system, programmed metadata management tool, achieved from data quantity control standard model to metadata mapping.4. Formed data quantity analysis evaluation process model, confirmed data quantity analysis evaluation process object, assignment, bases, method, arithmetic.5. Programmed data quantity analysis evaluation process software. Via restorable course management task of task management main console, achieved data quantity automatic analysis and evaluate, produced data quantity evaluation process report, data quantity analysis report.In this thesis, we can master data management actuality and data quantity actuality by the numbers, scale data validity, analyze data influence level in application, analyze pivotal character of influence data quantity, consummate data quantity control system, improve data quantity.