A Review of Characterization and Quantification Tools for Microbiologically Influenced Corrosion in the Oil and Gas Industry: Current and Future Trends

Kannan, Pranav; Su, Shizhong; Mannan, M. Sam; Castaneda, Homero; Vaddiraju, Sreeram

doi:10.1021/acs.iecr.8b02211

Cited by 33 publications

(12 citation statements)

References 297 publications

(529 reference statements)

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“…A field-emission gun environmental scanning electron microscope ,− was utilized to study the compositional features of the samples. The sample was analyzed using a Quanta 400 ESEM at 20 kV and 10 mm working distance.…”

Section: Methodsmentioning

confidence: 99%

“…Kannan et al 1 reviewed the analytical methods used for detecting microbiologically influenced corrosion (MIC) in the oil and gas industry and used a combination of morphological, compositional, electrochemical, and biological analyses of 77 studies on MIC. They showed that the microbiological assay techniques (e.g., metagenomics and metabolomics techniques) provide a rapid tool to evaluate MIC of corrosion deposits from refineries and gas plants.…”

Section: Introductionmentioning

confidence: 99%

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Lab Case Study of Microbiologically Influenced Corrosion and Rietveld Quantitative Phase Analysis of X-ray Powder Diffraction Data of Deposits from a Refinery

Khanfar

Sitepu

2021

ACS Omega

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This paper reports a laboratory-based case study for the characterization of deposits from a crude cooler and reboilers in a Saudi Aramco refinery by microbiologically influenced corrosion (MIC) using microbial, metallurgic, and special analyses and correlates the Rietveld quantitative phase analysis of high-resolution X-ray powder diffraction (XRD) data of scale deposits with microbe compositions. Therefore, rapid in-field microbiological assays could be carried out to assess the potential of MIC. Based on the results, it can be highlighted that the MIC investigation showed that total bacteria and sulfate-reducing bacteria (SRB) were detected in all sampling locations. Methanogens, acid-producing bacteria, and sulfate-reducing archaea were not detected in all samples. Iron-oxidizing bacteria (IOB) were detected in the solid samples from reboilers C and D. Low loads of general bacteria and low levels of microbes with MIC potential were detected in both C and D samples. The trace amount of corrosion products in one sample and the low level of MIC microbes cannot justify the contribution of MIC microbes in the formation of accumulated solids in the system. The findings recommend conducting frequent sampling and analysis including water, oil, and solid from upstream locations to have more decisive evidence of the likelihood of the scale formation and possible contribution of MIC in the formation of deposits in the plant. Subsequently, quantitative phase analysis of XRD data of scale deposits by the Rietveld method revealed that the major phase is calcium sulfate in the form of anhydrate and the minor phases are calcium carbonate in the form of calcite and aragonite, silicon oxide in the form of quartz, and iron oxide corrosion product in the form of magnetite. The results are supported by high-resolution wavelength-dispersive X-ray fluorescence (WDXRF) results. These accurate and reproducible X-ray crystallography findings obtained from Rietveld quantitative phase analysis can guide the field engineers at the refineries and gas plants to overcome the problems of the affected equipment by drawing up the right procedures and taking preventive actions to stop the generation of these particular deposits.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lab Case Study of Microbiologically Influenced Corrosion and Rietveld Quantitative Phase Analysis of X-ray Powder Diffraction Data of Deposits from a Refinery

Khanfar

Sitepu

2021

ACS Omega

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“…There are various methods for testing the presence of microorganisms in samples suspected of MIC. The microscopy method is generally used for determining the overall numbers of microorganisms using a small amount of sample [37]. qPCR method is a molecular microbiological method (MMM) to enumerate microorganisms by amplifying the genetic sequences [38].…”

Section: Specific Detection Of B Carboniphilus In Bacterial Mixture and Biofilmmentioning

confidence: 99%

Colorimetric Aptasensor for Detecting Bacillus carboniphilus Using Aptamer Isolated with a Non-SELEX-Based Method

Kim

Yoon

et al. 2021

Chemosensors

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B. carboniphilus is a naphtha-degradative strain (NDS) that uses hydrocarbons for its growth and causes microbiologically influenced corrosion (MIC) in naphtha pipelines. To date, there have been no studies on receptors or sensors for the detection of B. carboniphilus. We isolate B. carboniphilus-specific aptamers with a non-SELEX-based method, which employs repetitive cycles of centrifugation-based partitioning. The binding affinities of three aptamers are evaluated by obtaining their dissociation constants (Kd), which range from 13.2 to 26.3 nM. The BCA-05 aptamer with the lowest Kd value is employed for a two-stage label-free aptasensing platform to verify the aptamer selectivity using colorimetric detection of B. carboniphilus. This platform starts with the aptamer-bacteria binding step, and the concentration of residual aptamer after binding depends on the amount of the target bacteria. Then, the amount of separated residual aptamer determines the degree of salt-induced aggregation of gold nanoparticles (AuNPs), which results in a color change from red to blue. The AuNP color change is expressed as the ratio of absorbances at 630 and 520 nm (A630/A520). Under optimized conditions, this aptasensor shows reliable performance with a linear correlation in the range 104–107 CFU mL−1 and a limit of detection of 5 × 103 CFU mL−1.

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“…In oil fields, systems containing water are prone to uncontrolled microbial growth, which may trigger serious problems. Uncontrolled microbial activity can increase oil contamination, microbially induced corrosion, biofouling and the generation of dangerous metabolic byproducts, such as hydrogen sulfide (H 2 S), known as biosouring 1 , 2 .…”

Section: Introductionmentioning

confidence: 99%

The impact of bacterial diversity on resistance to biocides in oilfields

Pereira

Júnior

Corção

2021

Sci Rep

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Extreme conditions and the availability of determinate substrates in oil fields promote the growth of a specific microbiome. Sulfate-reducing bacteria (SRB) and acid-producing bacteria (APB) are usually found in these places and can harm important processes due to increases in corrosion rates, biofouling and reservoir biosouring. Biocides such as glutaraldehyde, dibromo-nitrilopropionamide (DBNPA), tetrakis (hydroxymethyl) phosphonium sulfate (THPS) and alkyl dimethyl benzyl ammonium chloride (ADBAC) are commonly used in oil fields to mitigate uncontrolled microbial growth. The aim of this work was to evaluate the differences among microbiome compositions and their resistance to standard biocides in four different Brazilian produced water samples, two from a Southeast Brazil offshore oil field and two from different Northeast Brazil onshore oil fields. Microbiome evaluations were carried out through 16S rRNA amplicon sequencing. To evaluate the biocidal resistance, the Minimum Inhibitory Concentration (MIC) of the standard biocides were analyzed using enriched consortia of SRB and APB from the produced water samples. The data showed important differences in terms of taxonomy but similar functional characterization, indicating the high diversity of the microbiomes. The APB and SRB consortia demonstrated varying resistance levels against the biocides. These results will help to customize biocidal treatments in oil fields.

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A Review of Characterization and Quantification Tools for Microbiologically Influenced Corrosion in the Oil and Gas Industry: Current and Future Trends

Cited by 33 publications

References 297 publications

Lab Case Study of Microbiologically Influenced Corrosion and Rietveld Quantitative Phase Analysis of X-ray Powder Diffraction Data of Deposits from a Refinery

Lab Case Study of Microbiologically Influenced Corrosion and Rietveld Quantitative Phase Analysis of X-ray Powder Diffraction Data of Deposits from a Refinery

Colorimetric Aptasensor for Detecting Bacillus carboniphilus Using Aptamer Isolated with a Non-SELEX-Based Method

The impact of bacterial diversity on resistance to biocides in oilfields

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