Anozie Ebigbo
Imperial College London
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Featured researches published by Anozie Ebigbo.
Environmental Earth Sciences | 2013
Alexander Kissinger; Rainer Helmig; Anozie Ebigbo; Holger Class; Torsten Lange; Martin Sauter; Michael Heitfeld; Johannes Klünker; Wiebke Jahnke
Hydraulic fracturing is a method used for the production of unconventional gas resources. Huge amounts of so-called fracturing fluid (10,000–20,000 m3) are injected into a gas reservoir to create fractures in solid rock formations, upon which mobilised methane fills the pore space and the fracturing fluid is withdrawn. Hydraulic fracturing may pose a threat to groundwater resources if fracturing fluid or brine can migrate through fault zones into shallow aquifers. Diffuse methane emissions from the gas reservoir may not only contaminate shallow groundwater aquifers, but also escape into the atmosphere where methane acts as a greenhouse gas. The working group “Risks in the Geological System” as part of ExxonMobil’s hydrofracking dialogue and information dissemination processes was tasked with the assessment of possible hazards posed by migrating fluids as a result of hydraulic fracturing activities. In this work, several flow paths for fracturing fluid, brine and methane are identified and scenarios are set up to qualitatively estimate under what circumstances these fluids would leak into shallower layers. The parametrisation for potential hydraulic fracturing sites in North Rhine-Westphalia and Lower Saxony (both in Germany) is derived from literature using upper and lower bounds of hydraulic parameters. The results show that a significant fluid migration is only possible if a combination of several conservative assumptions is met by a scenario.
Water Resources Research | 2015
Johannes Hommel; Ellen Lauchnor; Adrienne J. Phillips; Robin Gerlach; Alfred B. Cunningham; Rainer Helmig; Anozie Ebigbo; Holger Class
The model for microbially induced calcite precipitation (MICP) published by Ebigbo et al. (2012) has been improved based on new insights obtained from experiments and model calibration. The challenge in constructing a predictive model for permeability reduction in the underground with MICP is the quantification of the complex interaction between flow, transport, biofilm growth, and reaction kinetics. New data from Lauchnor et al. (2015) on whole-cell ureolysis kinetics from batch experiments were incorporated into the model, which has allowed for a more precise quantification of the relevant parameters as well as a simplification of the reaction kinetics in the equations of the model. Further, the model has been calibrated objectively by inverse modeling using quasi-1D column experiments and a radial flow experiment. From the postprocessing of the inverse modeling, a comprehensive sensitivity analysis has been performed with focus on the model input parameters that were fitted in the course of the model calibration. It reveals that calcite precipitation and concentrations of NH4+ and Ca2+ are particularly sensitive to parameters associated with the ureolysis rate and the attachment behavior of biomass. Based on the determined sensitivities and the ranges of values for the estimated parameters in the inversion, it is possible to identify focal areas where further research can have a high impact toward improving the understanding and engineering of MICP.
Transport in Porous Media | 2016
Johannes Hommel; Ellen Lauchnor; Robin Gerlach; Alfred B. Cunningham; Anozie Ebigbo; Rainer Helmig; Holger Class
Attachment of bacteria in porous media is a complex mixture of processes resulting in the transfer and immobilization of suspended cells onto a solid surface within the porous medium. Quantifying the rate of attachment is difficult due to the many simultaneous processes possibly involved in attachment, including straining, sorption, and sedimentation, and the difficulties in measuring metabolically active cells attached to porous media. Preliminary experiments confirmed the difficulty associated with measuring active Sporosarcina pasteurii cells attached to porous media. However, attachment is a key process in applications of biofilm-mediated reactions in the subsurface such as microbially induced calcite precipitation. Independent of the exact processes involved, attachment determines both the distribution and the initial amount of attached biomass and as such the initial reaction rate. As direct experimental investigations are difficult, this study is limited to a numerical investigation of the effect of various initial biomass distributions and initial amounts of attached biomass. This is performed for various injection strategies, changing the injection rate as well as alternating between continuous and pulsed injections. The results of this study indicate that, for the selected scenarios, both the initial amount and the distribution of attached biomass have minor influence on the Ca
Water Resources Research | 2016
Chaozhong Qin; S. Majid Hassanizadeh; Anozie Ebigbo
XVI International Conference on Computational Methods in Water Resources (CMWR-XVI) | 2006
Andreas Bielinski; Anozie Ebigbo; Andreas Kopp; Holger Class; Rainer Helmig
^{2+}
Water Resources Research | 2017
Henrik Büsing; Christian Vogt; Anozie Ebigbo; Norbert Klitzsch
Computing and Visualization in Science | 2010
Inge Skjælaaen; Anozie Ebigbo; Magne S. Espedal; Rainer Helmig
2+ precipitation efficiency as well as the distribution of the precipitates compared to the influence of the injection strategy. The influence of the initial biomass distribution on the resulting final distribution of the precipitated calcite is limited, except for the continuous injection at intermediate injection rate. But even for this injection strategy, the Ca
Advances in Water Resources | 2018
Alex Hobé; Daniel Vogler; Martin P. Seybold; Anozie Ebigbo; Randolph R. Settgast; Martin O. Saar
Computational Geosciences | 2016
Ralf Seidler; H. Martin Bücker; Anozie Ebigbo; Michael Herty; Gabriele Marquart; Jan Niederau
^{2+}
Computational Geosciences | 2009
Holger Class; Anozie Ebigbo; Rainer Helmig; Helge K. Dahle; Jan M. Nordbotten; Michael A. Celia; Pascal Audigane; Melanie Darcis; Jonathan Ennis-King; Yaqing Fan; Bernd Flemisch; Sarah E. Gasda; Min Jin; Stefanie Krug; Diane Labregere; Ali Naderi Beni; Rajesh J. Pawar; Adil Sbai; Sunil G. Thomas; Laurent Trenty; Lingli Wei