Conference Presentations

geno-MIC Team Members are disseminating their research at regional, national and international meetings. Below is a summary of the projects participation at meetings that are not organized/hosted by the geno-MIC project. Presentations from geno-MIC project meetings can be found under Past Events.

@ CSMA 2021

Virtual Meeting, June 14-17, 2021

Growth curve assessment for lab and field data comparisons
Brown D, Turner RJ


Virtual Meeting, June 8-11, 2021

Metagenome mining hydrocarbon environments for multidrug (biocide) resistance gene sources.
Brown D, Aggarwal N, Turner RJ

The role of the in-place soured formation water on reservoir souring
Basafa M, Hawboldt K

@ AMPP/NACE Corrosion 2021

Virtual Meeting, Apr 19-30, 2021

Microbiology tests used to diagnose microbiology influenced corrosion in failure investigations.
Abilio A, Eckert R, Skovhus TL, Wolodko J.

Modeling microbiologically influenced corrosion (MIC) for risk-based inspection (RBI) in the oil and gas industry: latest iteration.
Abilio A, Eckert R, Skovhus TL, Wolodko J.
Poster presented

Prospects of MIC management for the oil and gas industry: a semi-quantitative framework for MIC diagnosis and predictions.
Abilio A, Eckert R, Skovhus TL, Wolodko J.
Presentation to Standard Committee 22 on Biodeterioration.

@ NACE Edmonton Section

Virtual Meeting, Dec 2020

Considerations Currently Used for Microbiologically Influenced Corrosion Failure Investigations in Alberta
Abilio A, Eckert R, Skovhus TL, Wolodko J.

@ RMF 2020

Virtual Meeting, Nov 11-12, 2020

A gap analysis of failure investigation methods for assessing microbiologically influenced corrosion.
Abilio A, Eckert R, Skovhus TL, Wolodko J.

Tracking the evolution of microorganisms in Alberta shale operations: implications for microbiologically influenced corrosion (MIC) and natural reservoir pressure.
Sharma S, Tsesmetzis N, Lomans B, Gieg LM.

@ IMAT2020

Virtual Meeting, Oct 26, 2020

Integration of State-of-the-Art Methods for Assessing Possible Failures due to Microbiologically Influenced.
Abilio A, Eckert R, Skovhus TL, Wolodko J.

@ Biofilms 9

Virtual Meeting, Sept 29 – Oct 1, 2020

Reconstruction of an Industry Related Biofilm into a Proxy Model Community.
Brown D, Turner RJ.

@ IPC 2020

Virtual Meeting, Sept 28 – 30, 2020

When Metals and Microbes Meet – Preventing Microbial Corrosion in Crude Oil Transmission Pipelines
Lisa M. Gieg, Mohita Sharma, Trevor Place, Jennifer Sargent, Yin Shen

@ European MIC WS 2020

Virtual Meeting, May – Sept 2020

Diagnosing Microbiologically Influenced Corrosion as a Crude Oil Pipeline Facility Leakage Site Using a Holistic Approach.
M Sharma, N Tsesmetzis, LM Gieg.

Learnings from a Current MIC Research Project: Managing Microbial Corrosion in Canada’s Offshore & Onshore Oil Production Operations, geno-MIC.
Gieg LM, Wolodko J, Skovhus TL.

Modeling of Microbiologically Influenced Corrosion (MIC) for Risk-Based Inspection (RBI) in the Oil and Gas Industry
Abilio A, Eckert R, Skovhus TL, Wolodko J

Microbial Nitrogen and Sulfur Metabolism and its Relation to Corrosion Potential in Offshore Oil Production Platforms.
Nicoletti D, Gieg LM

@ NACE NAWC 2020

Regina, SK, February 5-6, 2020

Risk Based Inspection Data Integration for Assessing Microbiologically Influenced Corrosion in the Oil and Gas Industry.
Abilio A, Eckert R, Skovhus TL, Wolodko J

@ 69th CCEC

Halifax, NS, October 20-23, 2019

Naphthalene extraction from an aqueous phase using a MIP-based system.
Basafa M, Hawboldt KA, Bottaro C.


Halifax, NS, June 18-21, 2019

Assessing MIC in the Petroleum Industry – A Holistic Approach.
Gieg LM. Invited Speaker for Workshop: Science based oilfield management – from the lab to the field.

Modeling of Microbiologically Influenced Corrosion (MIC) for Risk-Based Inspection (RBI) in the Oil and Gas Industry: Screening Influential Parameters
Abilio A, Eckert R, Skovhus TL, Wolodko J

Abundance of Multidrug Resistance Efflux Pumps in a Model Corrosion Community using an in silico PCR approach.
Brown D, Turner R

An Online Electrochemical Based Microbial Detection System.
Chen Y, Derik Vand P, Haile T, Wolodko J

Desulfovibrio giganteus C2, a novel isolate from a paraffin-degrading methanogenic consortium capable of electrical microbial induced corrosion (EMIC).
Davidova I, Hirano SI, Liang R, Suflita J

System-wide analysis of shale gas/liquids processing from an MIC point of view.
Duncan K, DeGarmo M, Tanner R, Eid M, Suflita J, Heaver E, Bracey J, Lilley J, Jones A, De Paula R

QUOR’em DB: A database to Query, Update, Organize and Research metagenomics data.
Hall M, Zimola M, Beiko, Mitraka E

Modeling the Chemical Environment in Offshore Oil and Gas Facilities.
Ibrahim A, Hawboldt KA, Bottaro C, Khan F

MICON: an ontology to unify the disparate field of Microbiologically Influenced Corrosion.
Mitraka E, Beiko R

Determination of sulfur oxyanions in produced water using indirect detection capillary electrophoresis.
Modir-Rousta A, Bottaro C, Hawboldt KA

Improved methods for trace analysis of polycyclic aromatic sulfur heterocycles in seawater using novel molecularly imprinted polymer sampling devices.
Modir-Rousta A, Hijazi H, Hawboldt KA, Bottaro C, Akhoondi R

Sulfur and Nitrogen Biotransformations and Microbiologically Influenced Corrosion in Offshore Oil Production Operations.
Nicoletti D, Sharma M, Gieg LM

Corrosion of low carbon steel by thermophilic sulfate reducing microorganisms (tSRM) enriched from oilfield produced water samples.
Okpala G, Sharma M, Voordouw G

Linking Metabolism to Microbiologically Influenced Corrosion.
Rachel N, Montoya O, Okpala G, Sharma M, Gieg LM

Characterization of a highly corrosive sample enriched from nitrate injected produced waters after long-term incubation in nutrient limited conditions using metagenomic, electrochemical, and surface analyses.
Sharma M, Handy J, An D, Voordouw G, Tsemetzis N, Gieg LM

Predicting Sessile Microorganism Populations in Oil and Gas Gathering and Transmission Facilities.
Taleb-Berrouane M, Khan F, Hawboldt KA, Eckert R, Skovhus TL


Nashville, TN, March 24-28, 2019

A Preliminary Molecular Simulation Study on the Use of HS− as a Parameter to Assess the Effect of Surface Deposits on the SRB-Initiated Pitting on Metal Surfaces.
Ezenwa N, Khan F, Hawboldt K, Eckert R, Skovhus TL.

Impact of FeS in the Mechanistic Modelling of Microbiologically Influenced Corrosion Rate.
Khan F, Hawboldt K, Ezenwa N, Eckert R, Skovhus TL.

Characterization of microbiologically influenced corrosion potential in nitrate injected produced waters.
Sharma M, Handy J, An D, Voordouw G, Gieg LM.

An Update of MIC Research and Developments for the Onshore and Offshore Oil and Gas Industry.
Skovhus TL, Jack T, Wolodko J, Eckert R, Gieg L

TG 561: Molecular Microbiological Methods – Sample Handling and Laboratory Processing
Gieg L – Panelist

@ PCRI 2019 Research Exchange

Houston, TX, March 5 2019.

Microbiological, chemical, and corrosion analyses of solids samples collected from a leak site at a crude oil facility.
Place T, Sharma M, Kapronczai A, Handy J, Gieg L.

@ NACE NAWC 2019

Calgary, AB, February 2019

Assessment of Microbiologically Influenced Corrosion (MIC) Threats and Failures: Approaches and Challenges.
Eckert R, Wolodko J

Synergistic effect of biocide and corrosion inhibitor in mitigation of microbiologically influenced corrosion in wet parked crude oil pipelines.
Bagaria H, Sharma M, Gutierrez R, Oliver A, Sargent J, Place T, Tafel G, Gieg L

S and N Transformations and Microbiologically-Influenced Corrosion (MIC) in Offshore Oil Production Operations. 1st Place Best Student Poster
Nicoletti D, Sharma M, Gieg LM

A Microbial Detection System based on Electrochemical Methods.
3rd Place Best Student Poster
Chen Y, Derik Vand P, Haile T, Wolodko J

A Mechanistic Model for Predicting Microbiologically Influenced Corrosion.
Peralta Y, Marciales A, Haile T, Wolodko J.

The Role of Conferences in Translating Research into Practice – A Case Study in Microbiologically Influenced Corrosion Research.
Bak N, Lefsrud L, Wolodko J

Molecular Approach to Assessing Biocide Resistance.
Brown D, Turner R

Effects of DNA amplification primers, polymerases, and bioinformatics pipelines in the identification of microorganisms in a mock community.
Montoya O, Rachel N, Gieg LM


Phoenix, AZ, March 15-19, 2018.

Modeling of Microbiologically Influenced Corrosion (MIC) in the Oil and Gas Industry – Past, Present and Future.
Wolodko J, Haile T, Khan F, Taylor C, Eckert R, Hashemi SJ, Marciales Ramirez A, Skovhus TL


San Diego, CA, June 6-9, 2017

Highlights of 10 years of research in petroleum microbiology.
Closing Keynote Address by G. Voordouw

Microbial biotransformations: Subsurface, Biofuels to MEOR and Reservoir Microbes.
Gieg LM. Panelist at End User Workshop. Session 03a

Corrosive metabolism of the oilfield sulfide-oxidizing nitrate-reducing epsilon proteobacterium Sulfurimonas sp. strain CVO.
S Lhame

Modelling of Microbiologically Influenced Limitations and Perspectives.
Skovhus TL, Taylor C, Eckert R


New Orleans, LA, March 26-30, 2017

Managing Microbial Corrosion in Canadian Offshore & Onshore Oil Production Operations.
Presentation to Technology Exchange Group (TEG) 187X by Lefsrud L, Gieg LM

Determining the scope of MIC in the research literature and industry.
Bak N, Lefsrud L, Wolodko J