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The monitoring program used in the Danish Sector of the North Sea to manage microbiologically influenced corrosion (MIC) risk assessment for seven pipelines. Quantitative data on microbial activity was obtained from pigging debris using real-time polymerase chain reaction of MIC-causing microorganisms.
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Corrosion in modern paper mills accounts for 30+% of maintenance expenses. Molecular microbiological methods (MMM): • Quantitative polymerase chain reaction (qPCR) and QuantArray were employed to examine MIC at four paper mills each with unique process characteristics and construction materials in the affected areas.
We have developed a quantitative polymerase chain reaction (qPCR) assay to detect and quantify sulfur oxidizing bacteria (SOB) through the amplification of the soxB subunit of the thiosulfate-oxidizing gene complex. SOB populations have been linked to the corrosion of concrete and steel.
This manuscript provides case study data from subsea crude oil pipelines that addresses the questions of how to obtain the best quality samples from pig returns for microbiological testing, and what are the relative merits of different test methodologies.
Sampling of pigging debris was performed from three multiphase pipelines that previously were exposed to microbiologically influenced corrosion (MIC) due to high abundances of sulfate reducing prokaryotes (SRP) and methanogens.
In this study, we retrieved multiple samples from several wells in an onshore oilfield and submitted them for 16S rDNA taxonomic analysis in two different laboratories. The results showed significant differences between laboratories.
This paper compares planktonic and sessile counts using a variety of testing methods (including culture media, ATP assay and nucleic acid analysis). Data will be presented from a series of case studies including both lab work and field assessments.
A biocide efficacy study was conducted using field water samples and associated indigenous microorganisms as the test inocula. Thirteen biocide systems were evaluated to determine an excellent choice for disinfecting (rapid kill), to alleviate bio-burden and result in longer term protection.
Water-handling oil producing facilities often become target for microbial contamination because treated waters are not sterile – they are inhabited by various microorganisms and contain sufficient inorganic and organic nutrients to support microbial growth. The bacterial contamination and bioburden are to extravagate easily if environmental conditions in the facilities, for instance, moderate temperature (<45C) and salinity (<50 g/l TDS), favor microorganisms. Growing bacterial population distributes along the system and forms biofilms on the surfaces of pipelines, valves, vessels, tanks, etc. Such spreading of free-floating (planktonic) and sessile (biofilm) bacteria in industrial systems is referred to as biofouling.
Microbiologically influenced corrosion (MIC) has been an emerging concern in the oil and gas industry. Pipeline networks of different services, such as sour crude, sweet crude, water, and gas are subjected to various corrosion types, including MIC from microbial activities present within these systems. Such microbial activities can hinder the pipeline integrity and lead to metal deterioration.
Microbiologically influenced corrosion (MIC) is one of the leading causes of equipment and pipeline failure in oil and gas industries. Cost-effective MIC management requires routine monitoring of microbial activities, periodic assessment of microbial risks in various operational systems, and accurate diagnosis of MIC failure. Traditionally, MIC diagnosis has been dependent on cultivation-based methods by inoculating liquid samples containing live bacteria into selective growth media, followed by incubation at a certain temperature for a pre-determined period of time. The conventional culturing techniques have been reported to severely underestimate the size of the microbial populations related to metal corrosion, among many inherited weaknesses of these techniques. As a result, accurate diagnosis of MIC failure is challenging because the conventional techniques often fail to provide a critical piece of evidence required for a firm diagnosis, i.e., the presence of corrosion-causing microorganisms in the failed metal samples. In this paper, we described applications of molecular microbiology methods in diagnosing MIC in a crude oil pipeline and crude processing facility. Molecular microbial analyses have provided a solid piece of evidence to firmly diagnose the MIC in a crude oil flow line, a stagnant bypass spool, and a global valve bypass pipe. The presence of a high number of corrosion-related microorganisms in upstream pipelines poses a high risk to downstream crude processing facilities for microbial contamination and corrosion failure in these facilities. An effective MIC management program should include routine monitoring of microbial activities and risk assessment, and effective mitigation program, such as scraping and biocide treatments.