Microbial growth in water injection systems can lead to many problems, including biofouling, water quality deterioration, injectivity loss, microbial corrosion, and reservoir formation damage. Monitoring of microbial activities is required in any mitigation strategy, enabling operators to apply and adjust countermeasures properly and in due time. In this study, the pre-industrial autonomous microbe sensor (AMS) was constructed with technical improvements from the prototype for increased sensitivity, durability, robustness, and maintainability. The pre-industrial AMS was lab validated, field proven, and deployed at critical locations of seawater injection network for automated detection of microorganisms under the Saudi Arabia’s harsh environment. An excellent correlation between AMS measurement data (fluorescence count) and actual count of microbial cell number under microscope was established (coefficient of determination, R2 > 0.99) for converting AMS fluorescence count to cell numbers (cell mL-1) in the injection seawater. The pre-industrial AMS only required monthly maintenance with solutions refill, and was able to cope with hot summer months even without protection in an air-conditioned shelter. The study team recommended wider deployment of the online AMS for real-time monitoring of bacteria numbers in the various strategic locations in Saudi Aramco’s complex seawater injection network, as an integral component of pipeline corrosion and leak mitigation program.
References
[1]
Ren, H., Wang, W., Liu, Y., Liu, S., Lou, L., Cheng, D., He, X., Zhou, X., Qiu, S., Fu, L., Liu, J. and Hu, B. (2015) Pyrosequencing Analysis of Bacterial Communities in Biofilms from Different Pipe Materials in a City Drinking Water Distribution System of East China. Applied Microbiology and Biotechnology, 99, 10713-10724.
https://doi.org/10.1007/s00253-015-6885-6
[2]
Moniee, M.A., Juhler, S., Sorensen, K., Abeedi, F.N., Lundgaard, T. and Sanders, P.F. (2014) A Review of Saudi Aramco’s Water Flooding System and Methods for Monitoring Microbial Activity. Proceedings 15th Middle East Corrosion Conference, Bahrain, 2-5 February 2014, 1-19.
[3]
Moniee, M.A., Juhler, S., Sorensen, K., Zhu, X.Y., Lundgaard, T., Abeedi, F.N. and Sanders, P.F. (2016) Laboratory-Scale Evaluation of Single Analyte Bacterial Monitoring Strategies in Water Injection Systems. Journal of Sensor Technology, 6, 11-26. https://doi.org/10.4236/jst.2016.62002
[4]
Moniee, M.A., Zhu, X.Y., Tang, L., Juhler, S., Nuwaiser, F.I., Sanders, P.F. and Abeedi, F.N. (2016) Optimization of DNA Staining Technology for Development of Autonomous Microbe Sensor for Injection Seawater Systems. Journal of Sensor Technology, 6, 27-45. https://doi.org/10.4236/jst.2016.63003
[5]
Moniee, M.A., Zhu, X.Y., Tang, L., Nuwaiser, F.I., Voigt, N.V., Sanders, P.F., Abeedi, F.N. and Habboubi, H.H. (2016) Validation of Autonomous Microbe Sensor Prototype for Monitoring of Microorganisms in Injection Seawater Systems. Journal of Sensor Technology, 6, 81-100. https://doi.org/10.4236/jst.2016.64007
[6]
Dragan, A.I., Pavlovic, R., McGivney, J.B., Casas-Finet, J.R., Bishop, E.S., Strouse, R.J., Schenerman, M.A. and Geddes, C.D. (2012) SYBR Green I: Fluorescence Properties and Interaction with DNA. Journal of Fluorescence, 22, 1189-1199.
https://doi.org/10.1007/s10895-012-1059-8
[7]
Noble, R.T. and Fuhrman, J.A. (1998) Use of SYBR Green I for Rapid Epifluorescence Counts of Marine Viruses and Bacteria. Aquatic Microbial Ecology, 14, 113-118. https://doi.org/10.3354/ame014113
[8]
Shibata, A., Goto, Y., Saito, H., Kikuchi, T., Toda, T. and Taguchi, S. (2006) Comparison of SYBR Green I and SYBR Gold Stains for Enumerating Bacteria and Viruses by Epifluorescence Microscopy. Aquatic Microbial Ecology, 43, 223-231.
https://doi.org/10.3354/ame043223
[9]
Maruyama, A. and Sunamura, M. (2000) Simultaneous Direct Counting of Total and Specific Microbial Cells in Seawater, Using a Deep-Sea Microbe as Target. Applied Environmental Microbiology, 66, 2211-2215.
https://doi.org/10.1128/AEM.66.5.2211-2215.2000
[10]
Kapuscinski, J. (1995) DAPI: A DNA-Specific Fluorescent Probe. Biotechnic & Histochemistry, 70, 220-233. https://doi.org/10.3109/10520299509108199
[11]
Tarnowski, B.I., Spinale, F.G. and Nicholson, J.H. (1991) DAPI as a Useful Stain for Nuclear Quantitation. Biotechnic & Histochemistry, 66, 296-302.
https://doi.org/10.3109/10520299109109990
[12]
LabVIEW 2015, Version 15.0f2 (64-bit), National Instruments Corporation, Austin, Texas, US. http://www.ni.com/labview/
[13]
Gasol, J.M., Zweifel, U.L., Peters, F., Fuhrman, J.A. and Hagstro, A. (1999) Significance of Size and Nucleic Acid Content Heterogeneity as Measured by Flow Cytometry in Natural Planktonic Bacteria. Applied Environmental Microbiology, 65, 4475-4483.
[14]
Sgorbati, S., Barbesti, S., Citterio, S., Bestetti, G. and de Vecchi, R. (1996) Characterization of Number, DNA Content, Viability and Cell Size of Bacteria from Natural Environments using DAPI PI Dual Staining and Flow Cytometry, Minerva Biotechnology, 8, 9-15.
[15]
Gasol, J.M., del Giorgio, P.A., Massana, R. and Duarte, C.M. (1995) Active versus Inactive Bacteria: Size-Dependence in a Coastal Marine Plankton Community, Marine Ecology Progress Series, 128, 91-97. https://doi.org/10.3354/meps128091
[16]
Marie, D., Partensky, F., Jacquet, S. and Vaulot, D. (1997) Enumeration and Cell Cycle Analysis of Natural Populations of Marine Picoplankton by Flow Cytometry Using the Nucleic Acid Stain SYBR Green I. Applied Environmental Microbiology, 63, 186-193.
[17]
Thermo Scientific, FITC and TRITC, Instructions.
https://assets.thermofisher.com/TFS-Assets/LSG/manuals/MAN0011224_FITC_TRITC_UG.pdf
