Microbial Induced Corrosion Services

Microbial induced corrosion (MIC) assessment and prevention depends on accurate quantification of the microorganisms responsible. Molecular microbiological methods (MMM) offer more comprehensive characterization of microbial communities and accurate quantification of MIC associated organisms.

MIC impacts nearly all industries, is responsible for an estimated 40% of internal corrosion, and can exact a severe toll in terms of loss of production, O&M costs, deterioration of equipment and potentially the health, safety, and environmental consequences of corrosion related failure.

Currently, evaluation of MIC potential is primarily based upon culture-dependent methods like plate counts, MPNs, or Biological Activity Response Tests.  However, the overwhelming majority of microorganisms (>99%) cannot be grown in artificial media in a laboratory.  Thus, conventional techniques used to guide O&M measures may vastly underestimate the potential for MIC activity.

Microbial Insights offers a variety of molecular microbiological methods (MMMs) for more comprehensive characterization of microbial communities and more accurate quantification of MIC associated microorganisms.

Molecular Microbiological Methods for MIC include:

CENSUS – Based on quantitative polymerase chain reaction (qPCR), CENSUS is a nucleic acid-based approach to quantify specific microorganisms, groups of microorganisms, or functional genes implicated in MIC or other biological processes. CENSUS targets include sulfate reducing bacteria (SRB), acetogens, methanogens, nitrate reducing bacteria, and others.
QuantArray – A hybrid technology combining the highly parallel detection of DNA microarrays with the accurate and precise quantification of qPCR.  The QuantArray provides simultaneous quantification of key organisms and functional genes involved in MIC as well as oilfield souring providing a more comprehensive assessment.
NGS  – A DNA-based technique that provides a comprehensive characterization of the microbial community.  Next Generation Sequencing (NGS) typically identifies more members of the microbial community than possible by DGGE.  Initial characterization of microbial community to choose targets for CENSUS monitoring.

PLFAA broad-based biochemical approach to assess viable biomass concentrations and profile microbial community composition.