Automated reservoir surveillance through data mining software

Society of Petroleum Engineers - SPE Offshore Europe Oil and Gas Exhibition and Conference 2003, OE 2003

Volumn , Issue , 2003, Pages

  de Jonge, Gert ^a   Stundner, Michael ^b   Zangl, Georg ^b  

^a Chevron Texaco   (United States)

^b Decision Team Software

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; DATA MINING; EXPERT SYSTEMS; GAS INDUSTRY; MONITORING; REAL TIME CONTROL; RESERVOIR MANAGEMENT;

DATA-MINING SOFTWARE; HIGH FREQUENCY HF; OIL AND GAS FIELDS; REAL- TIME; REAL-TIME CONTROL; REAL-TIME DATA; RESERVOIR SURVEILLANCE; SMART FIELDS; SURFACE FACILITIES; SURVEILLANCE DATA;

AUTOMATION;

EID: 85058962434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/83974-MS     Document Type: Conference Paper

References (4)

1. de Jonge G., Stundner, M.:”How Routine Reservoir Surveillance with Neural Networks and Simplified Reservoir Models can Convert Data into Information”, paper SPE 78334 presented at the SPE 13th European Petroleum Conference held in Aberdeen, Scotland, U.K., 29-31 October 2002.
2. Saputelli L., Malki H., Canelon J., Nikolaou M. “A critical overview of artificial neural network applications in the context of continuous oil field optimization”, paper SPE 77703 presented at the SPE Annual Technical Conference and Exhibition held in San Antonio, Texas, 29 September–2 October 2002.
3. Athichanagorn, S.:”Development of an Interpretation Methodology for long-term Pressure Data from Permanent Downhole Gauges”, dissertation Stanford University, June 1999.
4. Ocanto, L., Rojas, A.:”Artificial-Lift Systems Pattern Recognition Using Neural Networks”, paper SPE 69405 presented at the SPE Latin American and Carribbean Petroleum Engineering Conference held in Buenos Aires, Argentina, 25-28 March 2001.