Theses
Ibrahim, Abdulhaqq Ameen (2020)
Study of the chemistry of soured and chemically treated reservoir fluids and potential impact on microbial influenced corrosion in oil and gas production facilities.
PhD thesis, Memorial University of Newfoundland
Nicoletti, Danika Susianne (2020)
Microbial Nitrogen and Sulfur Metabolism and its Relation to Corrosion Risk on Offshore Oil Production.
Masters thesis, University of Calgary
Dawuda, Abdul-Waris (2019)
A mechanistic and a probabilistic model for predicting and analyzing microbiologically influenced corrosion.
Masters thesis, Memorial University of Newfoundland
2022
Assessing Microbial Corrosion Risk on Offshore Crude Oil Production Topsides under Conditions of Nitrate and Nitrite Treatment for Souring.
Nicoletti D, Sharma M, Gieg LM.
Microorganisms 2022, 10, 932.
A review of risk-based decision-making models for microbiologically influenced corrosion (MIC) in offshore pipelines.
Yazdi M, Khan F, Abbassi R, Quddus N, Castaneda-Lopez H.
Reliab. Eng. Syst. Saf. (2022) 108474
Microbiologically influenced corrosion (MIC) management using Bayesian inference.
Yazdi M, Khan F, Abbassi R.
Ocean Eng. (2021).
Resilience assessment of a subsea pipeline using dynamic Bayesian network.
Yazdi M, Khan F, Abbassi R, Quddus N.
J. Pipeline Sci. Eng. (2022) 100053
Microbial Bioinformatics in the Oil and Gas Industry.
Applications to Reservoirs and Processes
Edited By Wunch K, Stipaničev M, Frenzel M
CRC Press
Including the following chapters by geno-MIC members:
2. Unravelling the Oil and Gas Microbiome Using Metagenomics. Tsesmetzis N.
3. A Case for Molecular Biology: How This Information Can Help in Optimizing Petroleum Top Side Facility Operations. van der Krann GM, Eibergen N.
6. Microbial Control during Hydraulic Fracking Operations: Challenges, Options, and Outcomes. De Paula R, Yunus I, Pierce C.
7. The Application of Bioinformatics as a Diagnostic Tool for Microbiologically Influenced Corrosion. Eibergen N, va der Kraan GM, Wunch K.
9. Molecular Methods for Assessing Microbial Corrosion and Souring Potential in Oilfield Operations. Okpala GN, Eresia-Eke R, Gieg LM.
11 . Quantitative PCR Approaches for Predicting Anaerobic Hydrocarbon Biodegradation. Toth CRA, Kharey G, Gieg LM.
2021
Khan F, Yarveisy R, Abbassi R
Cross-country Pipeline Inspection Data Analysis and Testing of Probabilistic Degradation Models.
Journal of Pipeline Science and Engineering
Kamil MZ, Taleb-Berrouane M, Khan F, Amyotte P
Data-driven operational failure likelihood model for microbiologically influenced corrosion.
Process Safety and Environmental Protection, 153, 472-485
Adumene S, Khan F, Adedigba S, Zendehboudi S, Shiri H
Offshore pipeline integrity assessment considering material and parametric uncertainty.
Journal of Pipeline Science and Engineering
Failure Analysis of Microbiologically Influenced Corrosion
edited by Eckert RB, Skovhus TL
CRC Press
Including the following chapters by geno-MIC members:
1. History of Failure Analysis for Microbiologically Influenced Corrosion. Jack TR.
2. Review and Gap Analysis of MIC Failure Investigation Methods in Alberta’s Oil and Gas Sector. Abilio AA, Wolodko J, Eckert RB, Skovhus TL
3. A Practical Approach to Corrosion Failure Analysis. Eckert RB
4. Analytical Methods for MIC Assessment, Skovhus TL, Eckert RB
7. Failure Investigation of a Leak in the Offshore Water Injection System. Skovhus TL, Bjaanes Ø, Lillebø B, Lilleengen JI.
8. Failure Analysis for Internal Corrosion of Crude Oil Transporting Pipelines. Sharma M, Place T, Tsesmetzis N, Gieg LM
22. Microbiological Sampling and Preservation for Evaluating Microbial Communities in Oilfield and Other Biological Samples Using Molecular Microbiological Methods. Rachel NM, Gieg LM
23. Implications of Sampling and Chemistry. Hawboldt KA, Bottaro CS, Ibrahim A, Basafa M, Saeed A.
24. Workflow of Transportation, Sampling, and Documentation of Topsides Pipework with a Leak from an Offshore Oil Platform. Skovhus TL.
25. Standards for MIC Management in Engineered Systems. Skovhus TL, Eckert RB
26. Standard Operating Procedures for Sampling Onshore and Offshore Assets for Genomic, Microbial and Chemical Analyses and/or Experiments. Gieg LM, Sharma M, Haile T, Hawboldt KA, Bottaro CS, Modir A, Duncan K, Place T, Eckert RB, Skovhus TL, Sargent J, Jack TR Fragoso N.
Ibrahim A, Hawboldt K, Bottaro C, Khan F.
Simulation of sour‐oxic‐nitrite chemical environment in oil and gas facilities
The Canadian Journal of Chemical Engineering
Taleb-Berrouane M, Khan F, Hawboldt K.
Corrosion risk assessment using adaptive bow-tie (ABT) analysis
Reliability Engineering and System Safety
Adumene S, Khan F, Adedigba S, Zendehboudi S, Shiri H.
Offshore pipeline integrity assessment considering material and parametric uncertainty
Journal of Pipeline Science and Engineering
Adumene S, Khan F, Zendehboudi S, Adedigba S, Shiri H.
Dynamic risk analysis of marine and offshore systems suffering microbial induced stochastic degradation.
Reliability Engineering and System Safety
Yazdi M, Khan F, Abbassi R.
Microbiologically influenced corrosion (MIC) management using
Bayesian inference.
Ocean Engineering
Dawuda AW, Taleb-berrouane M, Khan F.
A probabilistic model to estimate microbiologically influenced corrosion rate.
Process Safety and Environmental Protection
An BA, Deland E, Sobol O, Yaob J, Skovhus TK, Koerdt A.
The differences in the corrosion product compositions of Methanogen-induced microbiologically influenced corrosion (Mi-MIC) between static and dynamic growth conditions.
Corrosion Science
Brown DC, Turner RJ.
Creation of universal primers targeting nonconserved, horizontally mobile genes: Lessons and considerations.
Applied Environmental Microbiology
Theses
Ibrahim, Abdulhaqq Ameen (2020)
Study of the chemistry of soured and chemically treated reservoir fluids and potential impact on microbial influenced corrosion in oil and gas production facilities.
PhD thesis, Memorial University of Newfoundland
Nicoletti, Danika Susianne (2020)
Microbial Nitrogen and Sulfur Metabolism and its Relation to Corrosion Risk on Offshore Oil Production.
Masters thesis, University of Calgary
Dawuda, Abdul-Waris (2019)
A mechanistic and a probabilistic model for predicting and analyzing microbiologically influenced corrosion.
Masters thesis, Memorial University of Newfoundland
2020
Adumene S, Khan F, Adedigba S, Zendehboudi S, Shiri H.
An integrated dynamic failure assessment model for offshore components under microbiologically influenced corrosion.
Reliability Engineering and System Safety
Rachel NM, Gieg LM.
Preserving Microbial Community Integrity in Oilfield Produced Water
Frontiers in Microbiology, Article 581367
Gieg LM, Sharma M, Place T, Sargent J, Shen Y.
When Metals and Microbes Meet – Preventing Microbial Corrosion in Crude Oil Transmission Pipelines.
Proceedings of the 2020 13th International Pipeline Conference IPC2020
Adumene S, Khan F, Adedigba S.
Operational safety assessment of offshore pipeline with multiple MIC defects.
Computers & Chemical Engineering, 106819.
Yarveisy R, Gao C, Khan F.
A simple yet robust resilience assessment metrics
Reliability Engineering & System Safety
2019
Brown DC, Turner RJ.
Biofilms and microbiologically influenced corrosion in the petroleum industry.
In: Biofilms and microbiologically influenced corrosion in the petroleum industry. Eds. Rathinam NK, Sani RK. Chapter 9, 187-203.
Basafa M, Hawboldt K.
Reservoir souring: sulfur chemistry in offshore oil and gas reservoir fluids.
Journal of Petroleum Exploration and Production Technology, 9: 1105.
Nandy A, Sharma M, Venkatesan SV, Taylor N, Gieg LM, Thangadurai V.
Comparative evaluation of coated and non-coated carbon electrodes in a microbial fuel cell for treatment of municipal sludge.
Energies 2019, 12(6): 1034
Ezenwa N, Khan F, Hawboldt K, Eckert R, Skovhus TL.
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.
Corrosion2019 Conference Paper, NACE International, Nashville, TN, March 24-28.
Sharma M, Handy J, An D, Voordouw G, Gieg LM.
Characterization of microbiologically influenced corrosion potential in nitrate injected produced waters.
Corrosion2019 Conference Paper, NACE International, Nashville, TN, March 24-28.
Bagaria H, Sharma M, Gutierrez R, Oliver A, Sargent J, Place T, Tafel G, Gieg L.
Synergistic effect of biocide and corrosion inhibitor in mitigation of microbiologically influenced corrosion in wet parked crude oil pipelines.
Conference Paper 03-1419, NACE NAWC, Calgary, AB, February 5-7.
Skovhus TL, Whitby C.
OilField Microbiology, 1st Edition
CRC Press
2018
Lahme S, Enning D, Callbeck CM, Menendez Vega D, Curtis TP, Head IM, Hubert CRJ. Metabolites of an oil field sulfide-oxidizing nitrate-reducing Sulfurimonas sp. cause severe corrosion.
Applied and Environmental Microbiology, 85:e01891-18
Sharma M, Liu H, Chen, Cheng F, VoordouwG, Gieg L.
Effect of selected biocides on microbiologically influenced corrosion caused by Desulfovibrio ferrophilus IS5.
Scientific Reports, 8:16620.
Ibrahim A, Hawboldt K, Bottaro C, Khan F.
Review and analysis of microbiologically influenced corrosion: the chemical environment in oil and gas facilities.
Corrosion Engineering, Science and Technology, 53(8), 549-563.
Taleb-Berrouane M, Khan F, Hawboldt K, Eckert R, Skovhus T.
Model for microbiologically influenced corrosion potential assessment for the oil and gas industry.
Corrosion Engineering, Science and Technology, 53:5, 378-392.
Sharma, M., Menon, P., Voordouw, J., Shen, Y., Voordouw, G.
Effect of long term application of tetrakis(hydroxymethyl)phosphonium sulfate (THPS) in a light oil producing oilfield.
Biofouling, 34(6): 605-617.
Liu H, Sharma M, Wang ., Chen, YF, Liu H.
Microbiologically influenced corrosion of 316L stainless steel in the presence of Chlorella vulgaris.
International Biodeterioration & Biodegradation, 129, 209-216.
Hashemi SJ, Bak N, Khan F, Hawboldt K, Lefsrud L,Wolodko J.
Bibliometric Analysis of Microbiologically Influenced Corrosion (MIC) of Oil and Gas Engineering Systems.
Corrosion, 74: 468-486.
Wolodko J, Haile T, Khan F, Taylor C, Eckert R, Hashemi SJ, Marciales Ramirez A, Skovhus TL.
Modeling of Microbiologically Influenced Corrosion (MIC) in the Oil and Gas Industry – Past, Present and Future
Corrosion 2108 Conference Paper, NACE International, Phoenix, AZ, March 15-19.
2017
Skovhus TL, Eckert RB, Rodrigues E.
Management and Control of Microbiologically Influenced Corrosion (MIC) in the Oil and Gas industry – Overview and a North Sea Case Study.
Journal of Biotechnology, 256, 31-45.
Eckert RB, Buckingham K.
Investigating Pipeline Corrosion Failures
Inspectioneering Journal, 23: 1-9.
