Phase Implementation to Real Time Well Testing Using Fiber Optical Sensing Technology, San Alberto San Antonio Fields: Case Study - Part I

2010 ◽  
Author(s):  
Carlos German Ferraris ◽  
Luis E. Gonzalez
Keyword(s):  
Real Time ◽  
Optical Sensing ◽  
San Antonio ◽  
Well Testing ◽  
Sensing Technology ◽  
Fiber Optical

Bridge SHM system based on fiber optical sensing technology

2015 ◽  
Author(s):  
Sheng Li ◽  
Dian Fan ◽  
Jiang-hua Fu ◽  
Xing Huang ◽  
De-sheng Jiang
Keyword(s):  
Optical Sensing ◽  
Sensing Technology ◽  
Fiber Optical

Estimating loading on rebar bolts using distributed optical sensing technology

CIM Journal ◽  
2019 ◽  
Vol 10 (1) ◽  
Author(s):  
D. Beneteau ◽  
D. Milne ◽  
L. Feldman ◽  
G. Snell ◽  
A. Hyett
Keyword(s):  
Optical Sensing ◽  
Sensing Technology

Pollution based real time control strategies for combined sewer systems

1997 ◽  
Vol 36 (8-9) ◽  
pp. 331-336 ◽  
Author(s):  
Gabriela Weinreich ◽  
Wolfgang Schilling ◽  
Ane Birkely ◽  
Tallak Moland
Keyword(s):  
Real Time ◽  
Control Strategies ◽  
Ammonia Nitrogen ◽  
Simple Extension ◽  
Real Time Control ◽  
Time Control ◽  
Sewer Systems ◽  
Receiving Waters ◽  
Tunnel System

This paper presents results from an application of a newly developed simulation tool for pollution based real time control (PBRTC) of urban drainage systems. The Oslo interceptor tunnel is used as a case study. The paper focuses on the reduction of total phosphorus Ptot and ammonia-nitrogen NH4-N overflow loads into the receiving waters by means of optimized operation of the tunnel system. With PBRTC the total reduction of the Ptot load is 48% and of the NH4-N load 51%. Compared to the volume based RTC scenario the reductions are 11% and 15%, respectively. These further reductions could be achieved with a relatively simple extension of the operation strategy.

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