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51314-4080-Data Mining to Prevent Microbiologically Influenced Corrosion?

Picture for Data Mining to Prevent Microbiologically Influenced Corrosion?
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Product Number: 51314-4080-SG
ISBN: 4080 2014 CP
Author: Brett Geissler
Publication Date: 2014
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$20.00
Oilfield bacteria are directly responsible for many problems in the oil and gas industry including microbiologically influenced corrosion biofouling reservoir souring as well as employee injury. Recent efforts in both industrial and academic microbiology labs have been focused on identifying the particular types of bacteria responsible for causing these issues. This knowledge will assist in the design of better prevention treatment and control strategies for microbial activity. A series of in-depth analyses were carried out on the legacy Nalco database of field samples submitted for microbial speciation in order to assist in making microbiology-related recommendations for the initial design phase of assets. This database contains over 200 different bacterial species identified from >2000 samples submitted since 2009 from locations around the globe. These analyses showed an array of correlations between the types of bacteria present in the submitted samples and the locations and processes in which they originated. The key learnings from these analyses have increased our overall understanding of the oilfield bacteria population as well as better prepared us to intervene in their corrosive and undesirable activities. 
Oilfield bacteria are directly responsible for many problems in the oil and gas industry including microbiologically influenced corrosion biofouling reservoir souring as well as employee injury. Recent efforts in both industrial and academic microbiology labs have been focused on identifying the particular types of bacteria responsible for causing these issues. This knowledge will assist in the design of better prevention treatment and control strategies for microbial activity. A series of in-depth analyses were carried out on the legacy Nalco database of field samples submitted for microbial speciation in order to assist in making microbiology-related recommendations for the initial design phase of assets. This database contains over 200 different bacterial species identified from >2000 samples submitted since 2009 from locations around the globe. These analyses showed an array of correlations between the types of bacteria present in the submitted samples and the locations and processes in which they originated. The key learnings from these analyses have increased our overall understanding of the oilfield bacteria population as well as better prepared us to intervene in their corrosive and undesirable activities. 
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