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Optimization of DNA Staining Technology for Development of Autonomous Microbe sensor for Injection Seawater Systems

Journal of sensor Technology 2016年第3期6卷 27-45页

作者： Mohammed A. Al-Moniee Xiangyang Zhu Lone Tang Susanne Juhler Fuad I. Nuwaiser Peter F. Sanders Fahad N. Al-Abeedi Saudi Arabian Oil Company (Saudi Aramco) Dhahran Saudi Arabia Danish Technological Institute (DTI) Aarhus Denmark

microbial activity in the water injection system in oil and gas industry leads to an array of challenges, including biofouling, injectivity loss, reservoir plugging, and microbiologically influenced corrosion (MIC). An effective mitigation strategy requires online and real-time monitoring of microbial activity and growth in the system so that the operators can apply and adjust counter-measures quickly and properly. The previous study [1] identified DNA staining technology-with PicoGreen and SYBR Green dyes—as a very promising method for automated, online determination of microbial cell abundance in the vast Saudi Aramco injection seawater systems. This study evaluated DNA staining technology on detection limit, automation potential, and temperature stability for the construction of automated sensor prototype. DNA staining with SYBR Green dye was determined to be better suited for online and real-time monitoring of microbial activity in the Saudi Aramco seawater systems. SYBR Green staining does not require sample pre-treatment, and the fluorescence signal intensity is more stable at elevated temperatures up to 30℃. The lower detection limit of 2 × 103/ml was achieved under the optimized conditions, which is sufficient to detect microbial numbers in Saudi Aramco injection seawater. Finally, the requirements for design and construction of SYBR-based automated sensor prototype were determined.

关键词： DNA Staining Fluorescence Detection Automated Monitoring Real-Time Detection microbial sensor prototype Injection Water

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Applicability of Dimedone Assays for the Development of Online Aldehyde sensor in Seawater Flooding Systems

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Journal of sensor Technology 2016年第4期6卷 101-109页

作者： Mohammed A. Al-Moniee Cees Koopal Naim Akmal Sjaak van Veen Xiangyang Zhu Peter F. Sanders Peter F. Sanders Fahad N. Al-Abeedi Ayman M. Amer Saudi Arabian Oil Company (Saudi Aramco) Dhahran KSA TNO (Netherlands Organization for Applied Scientific Research) Zeist The Netherlands

Biocides are oilfield chemicals that are widely used to control bacterial activity throughout the oil industry. A feasibility study has been explored to develop detection techniques for biocide batch treatments, preferably on-line and in real-time, for their potential use in seawater flooding system. Several methods to measure key components of the biocide formulation were investigated and reported in previous study [1]. The enzymatic activity of an immobilized acetylcholine esterase (AChE) on the column material was successfully inhibited by some model compounds, but not by the actual biocides commonly used in Saudi Aramco seawater flooding system. In this paper, an alternative assay for biocide detection in the Saudi Aramco seawater flooding system was investigated for its applicability for the development of on-line biocide sensor. The assay was based on the detection of aldehyde functionality in the biocide mixture through measurement of a fluorescent derivative formed in the reaction of aldehyde groups and dimedone in the presence of ammonium acetate. The reaction of aldehyde groups with dimedone was demonstrated in seawater matrix, and the formed fluorescent product was successfully measured. The results showed that the dimedone-based assay was very sensitive, and relatively straightforward to perform. The ruggedness test also indicated that the assay is sensitive to minor changes of various specific conditions of the method. It is concluded that the dimedone assay is suitable for further development of a real-time biocide monitoring system to detect the presence of biocide slugs in seawater flooding system. The development of an automated on-line biocide sensor based on dimedone assay is underway.

关键词： DNA Staining Automated Monitoring Autonomous Microbe sensor microbial sensor prototype Injection Seawater

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Validation of Autonomous Microbe sensor prototype for Monitoring of Microorganisms in Injection Seawater Systems

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Journal of sensor Technology 2016年第4期6卷 81-100页

作者： Mohammed A. Al-Moniee Xiangyang Zhu Lone Tang Fuad I. Nuwaiser Niels V. Voigt Peter F. Sanders Fahad N. Al-Abeedi Hanaa H. Al-Habboubi Saudi Arabian Oil Company (Saudi Aramco) Dhahran KSA Danish Technological Institute (DTI) Aarhus Denmark

microbial growth in the water injection system is a well-known problem with severe operational and financial consequences for the petroleum industry, including microbiologically influenced corrosion (MIC), reduced injectivity, reservoir plugging, production downtime, and extensive repair costs. Monitoring of system microbiology is required in any mitigation strategy, enabling operators to apply and adjust countermeasures properly and in due time. In previous studies [1] [2], DNA staining technology with SYBR Green dye was evaluated to have a sufficient detection limit and automation potential for real-time detection of microbial activity in the Saudi Aramco injection seawater. In this study, technical requirements and design solutions were defined, and an autonomous microbe sensor (AMS) prototype was constructed, tested and optimized in the laboratory, and validated in the field for automated detection of microorganisms in the harsh Saudi Arabia desert environment and injection seawater. The AMS prototype was able to monitor and follow the general microbial status in the system, including detection of periods with increased microbial growth or decreased microbial numbers following biocide injection. The infield AMS detection limit was 105 cells/mL. The long-term field testing also identified the areas for technical improvement and optimization for further development of a more robust and better performing commercial microbial sensing device.

关键词： DNA Staining Automated Monitoring Autonomous Microbe sensor microbial sensor prototype Injection Seawater

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