Laboratory-Scale Evaluation of Single Analyte Bacterial Monitoring Strategies in Water Injection Systems

Al-Moniee, Mohammed A.; Juhler, Susanne; Sørensen, Ketil Bernt; Zhu, Xiangyang; Lundgaard, Thomas; Al-Abeedi, Fahad N.; Sanders, Peter F.

doi:10.4236/jst.2016.62002

Cited by 5 publications

(6 citation statements)

References 14 publications

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“…In our previous study, the DNA staining technology using PicoGreen and SYBR Green dyes was successfully applied for quantification of bacterial cells in high saline (5.5%) seawater with detection limit at 10 6 cells/ml and 10 4 cells/ml, respectively [1]. To clarify how low a detection limit is needed to obtain a successful sensor-based monitoring system, injection seawater samples were collected and analyzed to determine the baseline bacterial load using quantitative polymerase chain reaction (qPCR) method [8] and/or most probable number (MPN) tests [4] [6].…”

Section: Experimental Approachesmentioning

confidence: 99%

“…In the proof of concept study [1], five single-analyte methods were evaluated in the laboratory setup for the suitability of automation, for detection of microbial activity in the Saudi Aramco injection seawater system. Staining of cells with DNA binding fluorescent dyes (PicoGreen and SYBR Green) followed by quantification of fluorescence signals was identified as a reliable single-analyte method, with a very promising potential for automated, online determination of microbial cell abundance in the injection seawater system.…”

Section: Introductionmentioning

confidence: 99%

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

Al-Moniee¹,

Zhu²,

Tang³

et al. 2016

JST

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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 countermeasures 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˚C. The lower detection limit of 2 × 10 3 /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.

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Section: Experimental Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Al-Moniee¹,

Zhu²,

Tang³

et al. 2016

JST

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“…There are many factors that lead to material corrosion, such as temperature, humidity, pH, soil properties, sensitization and microorganisms (Deng et al, 2024). Microbiologically influenced corrosion (MIC) is corrosion caused by microbial growth and metabolism (Chen et al, 2023), which is ubiquitous in oil and gas, marine and other systems (Juhler et al, 2016;Paza and Achal, 2020). Over the past two decades, incidents such as equipment failures, pipeline leaks and environmental damage caused by MIC have occurred repeatedly (Hou et al, 2017;Cai et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Study on the screening of marine beneficial bacteria and the inhibition of sulfate-reducing bacteria corrosion in marine oil field produced water

Wang,

Zhang,

et al. 2024

ACMM

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Purpose The purpose of this study is to provide ideas and theoretical guidance for green, environmentally friendly and efficient “bacteriostasis with bacteria” technology. Design/methodology/approach In this paper, a beneficial strain of bacteria was extracted and purified from marine mud. Weight-loss test, morphological observation and electrochemical test were used to systematically study the effect of sulfate-reducing bacteria (SRB)-induced corrosion inhibition on X65 steel in simulated offshore oil field production water. Findings The results showed that a beneficial strain was selected and identified as Vibrio alginolyticus. Under the condition of co-culture of SRB, the average corrosion rate of X65 steel was significantly reduced. In the mixed bacterial system, the surface of X65 steel samples was relatively flat, and the structure of biofilm and corrosion product film was dense. The number of corrosion pits, the average diameter and depth of corrosion pits were significantly reduced. The localized corrosion of X65 steel was significantly inhibited. Originality/value The complex and changing marine environment makes the corrosion problem of marine steel increasingly severe, and the microbiologically influenced corrosion (MIC) caused by SRB is particularly serious. The research and development of environmentally friendly corrosion protection technology is a long-term and difficult problem. The use of beneficial microorganisms to control MIC is a green and efficient anticorrosion measure. Compared with terrestrial microorganisms, marine microorganisms can adapt to complex environments, and their metabolites exhibit special biological activities. The use of marine beneficial bacteria can inhibit SRB activity to achieve the corrosion inhibition effect.

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“…The correlation is required to convert the data obtained by the AMS, in terms of fluorescence counts, into cell count per volume (cells mL −1 ). The calibrations show that the AMS units are linear in a wide range of at least two orders of magnitude, with a laboratory detection limit of around 10 3 . From the performed calibrations, the AMS units were accepted for field installation, calibration, and validation.…”

Section: Lab Validationmentioning

confidence: 99%

“…In the feasibility phase study [3] In the subsequent phase, an autonomous microbe sensor (AMS) prototype was constructed, tested, and optimized in the laboratory, followed by a validation in the field for automated detection of microorganisms in the harsh Saudi Arabia desert environment [5]. In the field validation, 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.…”

Section: Introductionmentioning

confidence: 99%

Deployment of Pre-Industrial Autonomous Microbe Sensor in Saudi Arabia’s Injection Seawater System

Al-Moniee¹,

Zhu²,

Markfoged³

et al. 2018

JST

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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, R 2 > 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.

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Laboratory-Scale Evaluation of Single Analyte Bacterial Monitoring Strategies in Water Injection Systems

Cited by 5 publications

References 14 publications

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

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

Study on the screening of marine beneficial bacteria and the inhibition of sulfate-reducing bacteria corrosion in marine oil field produced water

Deployment of Pre-Industrial Autonomous Microbe Sensor in Saudi Arabia’s Injection Seawater System

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