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Keywords: big data
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Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209970-MS
... was successfully developed by combining expertise in operations and engineering with data analytics skills. It emphasizes the fact that big data works best when it is part of a solid data framework, that takes domain knowledge and users into account. upstream oil & gas managed pressure drilling annular...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206067-MS
... cloud computing social responsibility sustainability sustainable development big data immunology latency iiot sensor communication computing real time system artificial intelligence data security upstream oil & gas fog computing application data mining petroleum industry...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206087-MS
... and gas industry in enhancing productivity and safety include Internet of Things (IoT), artificial intelligence, big data analytics, cloud computing, and 3D modeling/visualization. As part of the solution to train the oil and gas industry workforce to meet the challenges of adopting these technologies...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206157-MS
... the problem of sending the measured information up to the surface, it creates significant impact on drilling system energy variation and downhole drilling dynamics. This paper focuses on understanding the effects using big data and drilling system modeling. When a commonly used MWD tool generates mud pulse...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201502-MS
... the energy and efficiency of the mud motor based on both downhole and surface data. By leveraging big data and modeling capability, it aims to provide a way of monitoring mud motor efficiency and to improve drilling energy management in planning and operations for drilling systems with a mud motor...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191427-MS
... Intelligence resolution drilling simulation big data accuracy torque driller operator automation procedure Hutchinson Drilling Dysfunction physical data sensor drill string assembly design statistics frequency content machine learning Introduction Drill strings are numerically...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191693-MS
... for a clearer understanding of risk to reduce incidents and enhance the journey towards sustainable production and Operational Excellence. So-called "big data" and "edge data" techniques applied to the streams of data arising from modern facilities holds out the promise of a process safety early warning system...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191726-MS
... Abstract Big Data technologies are now being actively integrated into the oil and gas sector owing to the need to improve operational efficiency and to optimize a variety of processes. Successful projects in data processing automation have already been implemented, for example, new...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 9–11, 2017
Paper Number: SPE-187079-MS
... over existing conventional basic ESP alarm monitoring methods. Upstream Oil & Gas Artificial Intelligence artificial lift system controller operating condition typical field application big data intelligent surveillance optimization operation machine learning platform ESP...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 26–28, 2016
Paper Number: SPE-181730-MS
... Abstract Occupational safety databases and their incident records constitute a need to utilize big data analytics to manage risk and enhance safety. HSE big data analytics focus attention on main incidents, help safety champions to better recognize the near misses and make the work environment...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 26–28, 2016
Paper Number: SPE-181572-MS
... Abstract As the concepts of "Big Data" and "Predictive Analytics" have made their way along the hype curve ( Gartner, 2015 ), digital energy initiatives have seen many attempts to practically employ these methologies for business gain. In many cases these initiatives have generated less than...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, September 28–30, 2015
Paper Number: SPE-174912-MS
... Abstract In recent years, the application of Big Data technologies and associated analytics has enjoyed significant attention and has seen an enormous growth in the oil industry. This is due to exponential growth of both historical and real-time data being collected. In this article, we present...

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