| Autor: |
Sara Bakhti, Arghad Arnaout, Khaled Al Tamimi, Adel Al Shayaa, Gerhard Thonhauser |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Day 2 Tue, March 19, 2019. |
| DOI: |
10.2118/194962-ms |
| Popis: |
The digital era is upon us in the oil and gas industry, enforcing the importance of integrating this novel concept of digital transformation is mandatory to improve the overall efficiency of the drilling process. The advances in Artificial Intelligence for the industry, and the methodology of how these solutions can be implemented will be addressed in this paper. The digital transformation of drilling will provide an unprecedented stream of high-quality information that has never been accomplished in the industry, through the utilization of automated real-time drilling downhole tools, data analytics and predictive analysis. Therefore, a real-time measurement and processing technology based on automated rig activities detection was established to improve the performance of the rig crew and drilling operations of an international operating company. A monitoring process was implemented for all drilling operations and benchmarked against operational Key Performance Indicators (KPIs). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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