Integrating Provenance Information in Reservoir Engineering

Abstract

Data management and analysis has become an integral component in the area of reservoir engineering. An important metric that determines the overall effectiveness of data analysis is data quality. Data provenance, the metadata that pertains to the derivation history of data objects, has emerged as an invaluable asset in evaluating data quality. The reservoir facilities and software systems that collect provenance information are often distributed, thus making it difficult to analyze provenance data. Our primary contribution in this paper is an approach for provenance information integration in reservoir engineering.