作者
Martin Winter, Felix Riedel, Felix Lee, Rudolf K Fruhwirth, Florian Kronsteiner, Herwig Zeiner, Heribert Vallant
发表日期
2013/7/1
期刊
International Journal of Decision Support System Technology (IJDSST)
卷号
5
期号
3
页码范围
12-30
出版商
IGI global
简介
Sub-Surface Drilling is the process of making boreholes into the Earth, which can reach depths of many kilometers. One of the major purposes of such boreholes is the exploration of oil or gas bearing formations with the goal to recover the content of such reservoirs. Problems in drilling operations pose serious risks for the crew and the environment and can cause significant financial losses. Critical events usually do not arise abruptly, but develop over time before they escalate. In this work, the authors present a system that integrates sensor data and machine learning algorithms into a decision support system (DSS), thus helping to avoid critical events by monitoring and recommending preventive measures. The authors describe how the DSS is implemented as a distributed system and how data-driven decision support processes are implemented and integrated into the system. The DSS detects drilling operations …
学术搜索中的文章
M Winter, F Riedel, F Lee, RK Fruhwirth, F Kronsteiner… - International Journal of Decision Support System …, 2013