Addressing wellbore integrity and thief zone permeability using microbially-induced calcium carbonate precipitation (MICP): A field demonstration

Kirkland, Catherine M.; Thane, Abby; Hiebert, Randy; Hyatt, Robert; Kirksey, Jim; Cunningham, Alfred B.; Gerlach, Robin; Spangler, Lee H.; Phillips, Adrienne J.

doi:10.1016/j.petrol.2020.107060

Cited by 55 publications

(13 citation statements)

References 40 publications

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“…Biofilm sealants (i.e., MICP or biofilm barrier) involve urea, Ca 2+ , nutrient feed, and microorganisms. Ca 2+ is employed as the precipitation substance, while urea could assist the adjustment of the pH valve to provide a weak alkaline condition suitable for bacteria growth. , The nutrient feed is used as a supply for the development of the biofilm. Microorganisms are used to form a biofilm encumbrance and prompt calcium precipitation that is firmly adhered to a rock surface.…”

Section: Sealant Materials For Co2 Leakage Controlmentioning

confidence: 99%

Comprehensive Review of Sealant Materials for Leakage Remediation Technology in Geological CO₂ Capture and Storage Process

et al. 2021

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Carbon capture and storage (CCS) technology has been widely investigated to decrease the greenhouse effect. Geological CO2 storage sites are targeted mainly on depleted petroleum reservoirs or deep saline aquifers. However, CO2 leakage might take place through wellbores, cap rocks, reservoir fractures, or faults during or after the process of CO2 storage leading to environmental problems. To minimize these hazards, different kinds of sealants have been developed and applied. This review aims to summarize those materials applicable to CO2 leakage remediation. On the basis of the sealing mechanisms and compositions of different sealant materials, they were divided into seven major types: Portland cement, geopolymer cement, resins, biofilms barriers, gel systems, foams, and nanoparticles. For different types of sealants, their application background, chemical and physical properties, CO2 leakage remediation mechanism, impact factors of sealing performance, advantages, and limitations were summarized. Future development directions for these sealant materials are also recommended. To solve the problem caused by the weak acid-resistant performance of Portland cement, anti-CO2 materials should be developed and added to the formulation. Environmentally friendly materials need to be designed to replace some current user-hostile compositions in the geopolymer cement. Moreover, chemicals that can control the geopolymerization process are also required because of the high curing temperature requirement for the recent geopolymer productions. The injectivity of Portland cement and resin limits its application for in-depth CO2 leakage control; however, gels with relatively low viscosity during the injection can be a good alternative, although their thermal stability and strength need to be further enhanced. Biotechnology and nanotechnology are perspectives to be applied in the CO2 leakage control process. Foams with good stability might be used for CO2 leakage remediation in the porous medium without fractures, but their life cycle should be prolonged.

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Section: Sealant Materials For Co2 Leakage Controlmentioning

confidence: 99%

Comprehensive Review of Sealant Materials for Leakage Remediation Technology in Geological CO₂ Capture and Storage Process

et al. 2021

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“…MICP has been proven to reduce permeability and enhance mechanical strength even at large, field-relevant scales (e.g. [33,41,46,56,59]). There are several reviews about the understanding of bio-improved soils (e.g.…”

Section: Biogeochemical Processes In Subsurface Porous Mediamentioning

confidence: 99%

Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation

et al. 2021

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Geochemical processes in subsurface reservoirs affected by microbial activity change the material properties of porous media. This is a complex biogeochemical process in subsurface reservoirs that currently contains strong conceptual uncertainty. This means, several modeling approaches describing the biogeochemical process are plausible and modelers face the uncertainty of choosing the most appropriate one. The considered models differ in the underlying hypotheses about the process structure. Once observation data become available, a rigorous Bayesian model selection accompanied by a Bayesian model justifiability analysis could be employed to choose the most appropriate model, i.e. the one that describes the underlying physical processes best in the light of the available data. However, biogeochemical modeling is computationally very demanding because it conceptualizes different phases, biomass dynamics, geochemistry, precipitation and dissolution in porous media. Therefore, the Bayesian framework cannot be based directly on the full computational models as this would require too many expensive model evaluations. To circumvent this problem, we suggest to perform both Bayesian model selection and justifiability analysis after constructing surrogates for the competing biogeochemical models. Here, we will use the arbitrary polynomial chaos expansion. Considering that surrogate representations are only approximations of the analyzed original models, we account for the approximation error in the Bayesian analysis by introducing novel correction factors for the resulting model weights. Thereby, we extend the Bayesian model justifiability analysis and assess model similarities for computationally expensive models. We demonstrate the method on a representative scenario for microbially induced calcite precipitation in a porous medium. Our extension of the justifiability analysis provides a suitable approach for the comparison of computationally demanding models and gives an insight on the necessary amount of data for a reliable model performance.

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“…MICP has been proven to reduce permeability and enhance mechanical strength even at large, field-relevant scales [e.g. van Paassen et al, 2010;Phillips et al, 2016;Nassar et al, 2018;Minto et al, 2019;Kirkland et al, 2020].…”

Section: Biogeochemical Processes In Subsurface Porous Mediamentioning

confidence: 99%

Surrogate-based Bayesian Comparison of Computationally Expensive Models: Application to Microbially Induced Calcite Precipitation

Scheurer¹,

Silva²,

Mohammadi³

et al. 2020

Preprint

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Geochemical processes in subsurface reservoirs affected by microbial activity change the material properties of porous media. This is a complex biogeochemical process in subsurface reservoirs that currently contains strong conceptual uncertainty. This means, several modeling approaches describing the biogeochemical process are plausible and modelers face the uncertainty of choosing the most appropriate one. The considered models differ in the underlying hypotheses about the process structure. Once observation data becomes available, a rigorous Bayesian model selection accompanied by a Bayesian model justifiability analysis could be employed to choose the most appropriate model, i.e. the one that describes the underlying physical processes best in the light of the available data. However, biogeochemical modeling is computationally very demanding because it conceptualizes different phases, biomass dynamics, geochemistry, precipitation and dissolution in porous media. Therefore, the Bayesian framework cannot be based directly on the full computational models as this would require too many expensive model evaluations. To circumvent this problem, we suggest to perform both Bayesian model selection and justifiability analysis after constructing surrogates for the competing biogeochemical models. Here, we will use the arbitrary polynomial chaos expansion. Considering that surrogate representations are only approximations of the analyzed original models, we account for the approximation error in the Bayesian analysis by introducing novel correction factors for the resulting model weights. Thereby, we extend the Bayesian justifiability anal-

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Addressing wellbore integrity and thief zone permeability using microbially-induced calcium carbonate precipitation (MICP): A field demonstration

Cited by 55 publications

References 40 publications

Comprehensive Review of Sealant Materials for Leakage Remediation Technology in Geological CO₂ Capture and Storage Process

Comprehensive Review of Sealant Materials for Leakage Remediation Technology in Geological CO₂ Capture and Storage Process

Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation

Surrogate-based Bayesian Comparison of Computationally Expensive Models: Application to Microbially Induced Calcite Precipitation

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Addressing wellbore integrity and thief zone permeability using microbially-induced calcium carbonate precipitation (MICP): A field demonstration

Cited by 55 publications

References 40 publications

Comprehensive Review of Sealant Materials for Leakage Remediation Technology in Geological CO2 Capture and Storage Process

Comprehensive Review of Sealant Materials for Leakage Remediation Technology in Geological CO2 Capture and Storage Process

Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation

Surrogate-based Bayesian Comparison of Computationally Expensive Models: Application to Microbially Induced Calcite Precipitation

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Product

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Comprehensive Review of Sealant Materials for Leakage Remediation Technology in Geological CO₂ Capture and Storage Process

Comprehensive Review of Sealant Materials for Leakage Remediation Technology in Geological CO₂ Capture and Storage Process