Notice of Violation of IEEE Publication Principles: Application of Big Data Analytics to optimize the operations in the upstream petroleum industry

Notice of Violation of IEEE Publication Principles

Application of Big Data Analytics to Optimize the Operations in the Upstream Petroleum Industry
by Shubham Singh, Shardul Pandey, Ravi Shankar, Ankur Dumka
in the Proceedings of the 2nd International Conference on Computing for Sustainable Global Development (INDIACom), March 2015, pp. 1074-1079

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper duplicates most of the original text and figures from the paper cited below. The original content was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

How to Use Big Data Technologies to Optimize Operations in Upstream Petroleum Industry
by Abdelkader Baaziz, Luc Quoniam
in the International Journal of Innovation, Vol 1, No. 1, December 2013, pp. 19-25


This paper focuses on increasing the efficiency of the E&P Companies in their extraction process with a new approach and methodology based on Big Data Analytics. This involves an approach in which the E & P companies could extract out the best of the results from the data which is being retrieved from their various data collecting sources like the RFID Sensors, SCADA Systems etc. and thus they could make out the best possible decisions. This approach is based on the predictive analysis of the past data defining the well activity. Thus with the help of the big data analytics companies could make more accurate decisions and better risk analysis and also reduce costs as compared to the traditional approaches like the GIS, Remote Sensing etc. and thus provide a new and efficient approach for the future of the Oil and Gas upstream industry. It also offers guidance on how big data can be used to gain valuable operational insight and to assist in decision-making.