Making AZADEGAN Oil Field, Smart: Data Model, Weighted KPIs and Management Dashboard

Document Type : Research Paper

Authors

1 Department of IT Management, Faculty of Management & Economics, Tarbiat Modares University, Tehran, Iran

2 nstitute of Petroleum Engineering, University of Tehran, Iran

3 Institute of Petroleum Engineering, University of Tehran, Iran

Abstract

Intelligent oilfield technology is one of the newest technologies in the oil/gas industry, which is increasingly regarded by international oil companies as a highly competitive advantage in production. The intelligent oilfield has various dimensions and components such as human resources, processes and equipment, but the cornerstone of intelligent oilfield is the effective use and management of field’s big data in order to make strategic and timely decisions on production. In order to achieve the goal of optimal management and utilization of oilfield’s data, in this study, by using PPDM standard and Azadegan oilfield as a case study, the oilfield’s data model is designed in seven specialized subject areas, 70 tables and 2700 columns. Then, the field’s data warehouse model is developed based on Kimball’s methodology. In the next step, both data and data warehouse models were validated by experts. Consequently, in order to facilitate strategic and timely decisions on production, based on the designed data and data warehouse models in the previous stage, about 40 “key performance indicators” were obtained and validated by the experts of oil and gas industry in three intervals of short, medium and long term, and the importance of each in the decision-making about the field’s production was determined. The “equipment type”, “gas to oil ratio” and “real production amount” indicators were evaluated with the highest weight and therefore the highest importance in the field’s strategic decisions. At the end, in order to facilitate the production of real- time managerial reports about oilfield’s production, the Azadegan oilfield’s management dashboard is designed and presented.

Keywords

References

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Journal of Petroleum Research
Volume 29, 98-2 - Serial Number 105
July and August 2019
Pages 4-18

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