Implementation of the integrated information solutions concepts for large scale data in oil and gas engineering

Abstract

Thorough analysis of large data and analytical capabilities of new generation of information architecture, complying with requirements of the dynamic software market for oil and gas industry was performed. It was demonstrated that the data generation rate, describing technological processes of the industry, is constantly increasing, thus, leading to an increase in the level of demand for such data by experts of the subject area. Such an increase in data generation rate and the number of sources may cause an increase in aggregate data volumes and problems of access, analysis and management of huge volumes of data and their storage. The solutions proposed in this study within the concept of "Large Scale Data" help oil and gas companies meet these requirements. The possibility and ways of implementing the reference database information architecture were also considered. The approach and methodology proposed here is the result of client projects development. The solutions were proposed to help planning information architecture of the database of enterprises and implementation of software applications for the life cycle of oil and gas fields. Creating an integrated database information architecture that can handle datasets with a known (or unknown) structure can significantly improve the capabilities of existing data warehouses in the oil and gas industry and knowledge-oriented industrial data processing centers.