H2020Индивидуална стипендия2016–2018

OMNICS · Observing, Modelling and Predicting in situ Petrophysical Parameter Evolution in a Geologic Carbon Storage System

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2016-03-10 → 2018-03-09
Финансиране от ЕС: 200 195 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Разпределението на въглерод двуокис в порестите скали се анализира чрез рентгенова томография и математически модели. Това помага за по-доброто управление на съхранението на CO2 в земната кора с цел борба с глобалното затопляне.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Observing, Modelling and Predicting in situ Petrophysical Parameter Evolution in a Geologic Carbon Storage System

Geologic carbon storage is one of the most promising options for decreasing atmospheric CO2 but a major challenge is how to control the distribution of supercritical CO2 in evolving porous rock formations. In many cases, natural, fluid distributing systems are remarkably efficient in dissipating or collecting fluids because of the interaction between the fluids and hierarchical assemblages of complex microstructures. These structures are difficult to design and fabricate artificially, because we do not know how the enormous number of small features are generated and assembled autonomously. My aim is to determine the relationships between global constraints and the evolution of internal structures in fluid distributing systems, particularly in the context of geologic carbon storage. The research will create synergy between in situ X-ray tomography (CT) and a reactor network model. CT can be used to monitor the evolution of structures; modelling helps assemble knowledge and analyse the importance of variables. On the short term, the results will provide base information to policy makers for informed decisions about how to tackle global warming and on the long term, through the development of the synergetic technologies, will contribute to the design of advanced energy and medical materials. Upon conclusion, OMNICS delivered a toolset for investigating the microstructure evolution of geomaterials under geologic carbon storage (GCS) conditions. The toolset consists of three components: a sample environment for in situ X-ray imaging of flow through experiments, a conceptual model for microscopic pore development and a numerical simulation programme for predicting structural changes of porous media in a flow field. Two fluid cells have been manufactured and are fully functional with both synchrotron beamlines and benchtop tomography (CT) systems. A reactor network model has been built to conceptualise the different aspects of a coupled flow-reaction process and deployed on parallel computing systems for numerical simulations. The results of OMNICS have led to seven manuscripts documenting the technical details of each tool and the scientific discoveries enabled by the use of the toolset.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Geologic Carbon Storage (GCS) is a promising remedial activity that society can use to tackle imminent problems from increased atmospheric CO2 and climate change. The fate and transport of the stored CO2 are controlled by a storage formation’s petrophysical parameters, which evolve rapidly after the CO2 injection because of geochemical reactions. Knowing how the pore structure evolves is critical to the safe and effective implementation of GCS because it affects the sealing integrity, injectivity and storage capacity of a geologic site. How such evolution can be quantified is still unknown, because of the technological difficulties in direct observation within pores and the high computational cost required to predict such evolution based on current modelling approaches. My project will pioneer the study of GCS-related petrophysical parameter evolution by combining synchrotron based nanotomography with a highly customizable reactor network model. Tomography enables the in situ observation of the porous media’s morphological evolution that leads to petrophysical property changes. The reactor network model can significantly reduce computational costs for predicting parameter evolution. OMNICS builds on a combination of my expertise in GCS-related research and chemical reactor design with my host’s world leading nanostructure characterization facilities and cutting edge interdisciplinary research profile. Strong industry links provided by my host means that my new prediction technique will provide direct guidance for site selection, risk assessment and injection management, pushing the technological readiness level of GCS from applied research towards market relevant implementation as a technical support service. Meanwhile, the training, mentoring and support offered by my advisor, Prof. S. Stipp, will broaden my expertise, sharpen my competences and extend my research network, which will help me secure a academic position in Europe by fully realizing my potential.

Оригинален текст от CORDIS (на английски).

Участници

KOBENHAVNS UNIVERSITET · KOBENHAVNКоординаторДания