Customers: Tatneft Contractors: IT Professional Solutions (ITPS) Product: GIS projectsProject date: 2017/03 - 2017/09
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Project of ITPS group "Creation of the digital platform of management of Big geologic-geophysical and trade Data of PJSC Tatneft on the basis of innovative technologies of indexation, end-to-end search, verification and information processing".
For Tatneft company the ITPS group developed and implemented a management system for Big Data which:
- provides instant access to all saved-up production data for all history of the Company, regardless of formats and storage locations. It is reached due to use of technology of end-to-end search and high-quality integration diverse, territorially and organizationally the distributed sources of geologic-geophysical and trade data.
- allows to integrate all sources of information on the basis of indexes of data in the uniform web interface, with respect for access rights to information that many times reduces a set-up time of data for further modeling.
- it is developed by the Russian specialists and with success it is applied in the leading domestic and foreign oil and gas companies.
- quickly provides employees with all necessary information for creation and updating of digital production models in real time.
- considerably increases the accuracy, efficiency of planning and production management on the basis of predictive technologies, Big Data and qualitative digital models.
Within the project in 7 months, the virtual bank of geologic-geophysical information with a considerable amount of data (volume only of the indexed files was not less than 10 million copies) without their movement between storages and DBMS was created, for reference - creation of a traditional databank for comparable information volume usually takes 2-3 years. It was reached in many respects due to use of the innovative technologies.
At the expense of process optimization and a possibility of operational work with Big Data it was succeeded to reduce by 30-60% time of collecting, preparation and data analysis for digital models and to receive real tools for increase in cost efficiency of fields and all enterprise.