Field demonstration of a microwave black powder detection device in gas transmission pipelines

Abstract Black Powder (BP) poses a serious threat to the integrity and operation of natural gas transmission networks worldwide. While BP corrective and preventive remedies have been proposed in the past, real-time detection and quantification of BP in natural gas flows using a viable technology is yet to be addressed. Real-time monitoring of BP is imperative not only to ensure on-spec supply of sales gas, but also to facilitate maintenance decisions and assess the efficacy of in-line filters. In this paper, an industrial-grade BP detection device (BPDD) capable of measuring the total suspended solids (TSS) in real-time is demonstrated. The proposed device is based on measurements of microwave signals transmitted through a pipe section as solids traverse in the gas flow using a custom-made transceiver and in-situ probes. The BPDD is extensively tested on sales gas pipelines in field conditions, whereby high sensitivity is verified. Concentration measurements of the BPDD is benchmarked against a TSS analysis conducted as part of isokinetic sampling of the gas flow. The reported measurement error using the BPDD is less than 7%. Hence, the proposed device is deemed a valuable asset to flow assurance in the oil & gas industry.

[1]  R. Jakoby,et al.  Microwave mass flow meter for pneumatic conveyed particulate solids , 2009, 2009 IEEE Instrumentation and Measurement Technology Conference.

[2]  Zhipeng Wu,et al.  Microwave-tomographic system for oil- and gas-multiphase-flow imaging , 2009 .

[3]  N. A. Tsochatzidis,et al.  Methods help remove black powder from gas pipelines , 2007 .

[4]  S. R. Wylie,et al.  The monitoring of the two phase flow-annular flow type regime using microwave sensor technique , 2013 .

[5]  M. N. Suma,et al.  Non-intrusive microwave system for multiphase flow metering , 2018, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[6]  S. R. Wylie,et al.  RF sensor for multiphase flow measurement through an oil pipeline , 2006 .

[7]  Shimin Zhang,et al.  Numerical simulation of black powder removal process in natural gas pipeline based on jetting pig , 2018, Journal of Natural Gas Science and Engineering.

[8]  Rolf Jakoby,et al.  Microwave Mass Flow Meter for Industrial Applications based on a Lefthanded Transmission Line Resonator , 2009, 2009 German Microwave Conference.

[9]  Boyd Davis,et al.  Thermodynamic Analysis Of Formation Of Black Powder In Sales Gas Pipelines , 2009 .

[10]  Guoyao Liu,et al.  Measurement of solid mass flow rate by a non-intrusive microwave method , 2018 .

[11]  Tariq S. Khan,et al.  Characterization and preliminary root cause identification of black powder content in a gas transmission network – A case study , 2015 .

[12]  Florence Ossart,et al.  Application of microwave reflectometry to disordered petroleum multiphase flow study , 2013 .

[13]  Ahmed Al-Durra,et al.  Application of Particle Swarm Optimization (PSO) algorithm for Black Powder (BP) source identification in gas pipeline network based on 1-D model , 2019, Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles.

[14]  B. T. Hjertaker,et al.  Three-phase flow measurement in the petroleum industry , 2012 .

[15]  Salman Al-Qabandi,et al.  Integrated Solution to Mitigate and Prevent Black Powder Phenomena in West Kuwait Operation Facilities , 2015 .

[16]  Mohamed A. Abou-Khousa,et al.  Hermetically sealed microwave probe for in-situ detection of black powder in gas pipelines , 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[17]  M. A. Al-Marhoun,et al.  A New Correlation for Gas-condensate Dewpoint Pressure Prediction , 2001 .

[18]  Tariq S. Khan,et al.  Review of black powder in gas pipelines – An industrial perspective , 2015 .

[19]  S. Giordano,et al.  Effective medium theory for dispersions of dielectric ellipsoids , 2003 .

[21]  Ahmed Al-Shamma'a,et al.  The use of an EM mixing approach for the verification of an EM wave sensor for a two phase (oil–water) dispersed flow , 2013 .

[22]  Ahmed Al-Durra,et al.  Microwave Sensing System for Real-Time Monitoring of Solid Contaminants in Gas Flows , 2015, IEEE Sensors Journal.

[23]  T. McKelvey,et al.  Microwave Measurement System for Detection of Dielectric Objects in Powders , 2016, IEEE Transactions on Microwave Theory and Techniques.