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Recent advances in risk assessment and risk management of geologic CO2 storage

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TLDR
In this article, an overview of the advances made in the field of risk assessment and risk management of geologic CO2 storage (GCS), since the publication of the IPCC Special Report on Carbon Capture and Storage in 2005, is presented.
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This article is published in International Journal of Greenhouse Gas Control.The article was published on 2015-09-01 and is currently open access. It has received 149 citations till now. The article focuses on the topics: Risk analysis (business) & Risk management.

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Citations
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Mitigation Pathways Compatible with 1.5°C in the Context of Sustainable Development

TL;DR: In this paper, the authors present a survey of the work of the authors of this paper, including the following authors: Katherine Calvin (USA), Joana Correia de Oliveira de Portugal Pereira (UK/Portugal), Oreane Edelenbosch (Netherlands/Italy), Johannes Emmerling (Italy/Germany), Sabine Fuss (Germany), Thomas Gasser (Austria/France), Nathan Gillett (Canada), Chenmin He (China), Edgar Hertwich (USA/Austria), Lena Höglund-Is
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Negative Emissions Technologies and Reliable Sequestration: A Research Agenda

TL;DR: In this paper, negative emissions technologies (NETs) that remove and sequester carbon dioxide from the air will need to play a significant role in mitigating climate change, and the benefits, risks, and sustainable scale potential for NETs and sequestration are assessed.
Journal ArticleDOI

Assessing induced seismicity risk at CO2 storage projects: Recent progress and remaining challenges

TL;DR: In this paper, the authors review recent lessons learned regarding induced seismicity at carbon storage sites and highlight specific technical difficulties that can limit the effectiveness of current risk assessment and risk management approaches, and highlight recent research aimed at overcoming them.
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Predicting CO 2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network

TL;DR: This work forms a conditional deep convolutional generative adversarial network (cDC‐GAN) surrogate model to learn the dynamic functional mappings in multiphase models and demonstrates the performance of this model for predicting the migration of carbon dioxide plume in heterogeneous carbon storage reservoirs.
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Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach

TL;DR: A filtering-based data assimilation procedure is developed to design effective monitoring approaches and it is demonstrated that the proposed approach can be effective in developing monitoring approaches that take into consideration uncertainties.
References
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Journal ArticleDOI

Injection-Induced Earthquakes

TL;DR: The current understanding of the causes and mechanics of earthquakes caused by human activity, including injection of wastewater into deep formations and emerging technologies related to oil and gas recovery, is reviewed.
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Earthquake triggering and large-scale geologic storage of carbon dioxide

TL;DR: It is argued here that there is a high probability that earthquakes will be triggered by injection of large volumes of CO2 into the brittle rocks commonly found in continental interiors, and large-scale CCS is a risky, and likely unsuccessful, strategy for significantly reducing greenhouse gas emissions.
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Maximum magnitude earthquakes induced by fluid injection

TL;DR: In this article, a case history of earthquake sequences induced by fluid injection at depth reveals that the maximum seismic moment appears to have an upper bound proportional to the total volume of injected fluid.
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The geomechanics of CO2 storage in deep sedimentary formations

TL;DR: In this paper, the authors provide a review of the geomechanics and modeling of geOMEchanics associated with geologic carbon storage (GCS), focusing on storage in deep sedimentary formations, in particular saline aquifers.
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