TY - GEN
T1 - Spectroscopic sensing for in-situ monitoring of water fraction in natural gas flow
AU - Enshasy, Hesham
AU - Omar, Amjad
AU - Cheng, Mosong
AU - Alnuweiri, Hussein
N1 - Publisher Copyright:
Copyright 2013, Society of Petroleum Engineers.
PY - 2013
Y1 - 2013
N2 - The paper presents a microwave sensing method to detect and quantify the presence of water or saline water in natural gas pipelines. Efficient and safe operation of natural gas production lines depends on intelligent monitoring capabilities of specific chemicals harmful to the operations and to the environment. For example, high salinity formation water will Erode the steel pipelines, thus requiring immediate actions. Quantifying such contents is as important as detecting them. Real-time, in-situ quantification of water fraction and salinity in the flow leads to reduced production cost and improved equipment safety. The gas pipe in this work is modeled as a waveguide that is filled with gas and different fractions of water. By measuring the magnitude and phase of the reflected and transmitted signals over a broad spectrum, the water fraction can be calculated using waveguide model. With water fraction increasing, signal magnitude changes and cutoff frequency shifts. Both signal magnitude and frequency shift can give accurate estimation of the water fraction inside. The advantage of using microwaves is the ability to cover the whole cross section area of the pipe, without missing any water droplet inside. Other methods, like electrochemical, resistivity or capacitance probes, only capture local variations. HFSS software was used to simulate the wave characteristics for different water volume fractions inside the pipe and the experimental data showed that a water fraction as low as 1% can be quantified. A repeatability study was done in this work and it showed that measurements have good repeatability.
AB - The paper presents a microwave sensing method to detect and quantify the presence of water or saline water in natural gas pipelines. Efficient and safe operation of natural gas production lines depends on intelligent monitoring capabilities of specific chemicals harmful to the operations and to the environment. For example, high salinity formation water will Erode the steel pipelines, thus requiring immediate actions. Quantifying such contents is as important as detecting them. Real-time, in-situ quantification of water fraction and salinity in the flow leads to reduced production cost and improved equipment safety. The gas pipe in this work is modeled as a waveguide that is filled with gas and different fractions of water. By measuring the magnitude and phase of the reflected and transmitted signals over a broad spectrum, the water fraction can be calculated using waveguide model. With water fraction increasing, signal magnitude changes and cutoff frequency shifts. Both signal magnitude and frequency shift can give accurate estimation of the water fraction inside. The advantage of using microwaves is the ability to cover the whole cross section area of the pipe, without missing any water droplet inside. Other methods, like electrochemical, resistivity or capacitance probes, only capture local variations. HFSS software was used to simulate the wave characteristics for different water volume fractions inside the pipe and the experimental data showed that a water fraction as low as 1% can be quantified. A repeatability study was done in this work and it showed that measurements have good repeatability.
KW - Microwave Spectroscopic Sensing
KW - NDT testing
KW - Natural gas industry
KW - Petroleum industry
KW - Water fraction
UR - http://www.scopus.com/inward/record.url?scp=85011821204&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85011821204
SN - 9781613992760
T3 - Society of Petroleum Engineers - SPE Middle East Intelligent Energy Conference and Exhibition 2013
BT - Society of Petroleum Engineers - SPE Middle East Intelligent Energy Conference and Exhibition 2013
PB - Society of Petroleum Engineers
T2 - SPE Middle East Intelligent Energy Conference and Exhibition 2013, IEME 2013
Y2 - 28 October 2013 through 30 October 2013
ER -