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Provenance is becoming an important issue as a reliable estimator of data quality. However, provenance collection mechanisms in the reservoir engineering domain often result in missing provenance information. In this paper, we address the problem of predicting missing provenance information in reservoir engineering. Based on the observation that data items with specific semantic "connections"...
There has been a recent push towards applying information technology principles, such as workflows, to bring greater efficiency to reservoir management tasks. These workflows are data intensive in nature, and the data is derived from heterogenous data sources. This has placed an emphasis on the quality and reliability of data that is used in reservoir engineering applications. Data provenance is metadata...
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