Tatomir, Alexandru Bogdan

[["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Water Resources Research"],["dc.bibliographiccitation.volume","54"],["dc.contributor.author","Tatomir, A."],["dc.contributor.author","De Vriendt, K."],["dc.contributor.author","Zhou, D."],["dc.contributor.author","Gao, H."],["dc.contributor.author","Duschl, F."],["dc.contributor.author","Sun, F."],["dc.contributor.author","Licha, T."],["dc.contributor.author","Sauter, M."],["dc.date.accessioned","2020-12-10T18:09:24Z"],["dc.date.available","2020-12-10T18:09:24Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1029/2018WR022621"],["dc.identifier.eissn","1944-7973"],["dc.identifier.issn","0043-1397"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73640"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Kinetic Interface Sensitive Tracers: Experimental Validation in a Two‐Phase Flow Column Experiment. A Proof of Concept"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3"],["dc.bibliographiccitation.journal","International Journal of Greenhouse Gas Control"],["dc.bibliographiccitation.lastpage","23"],["dc.bibliographiccitation.volume","48"],["dc.contributor.author","Niemi, Auli"],["dc.contributor.author","Bensabat, Jacob"],["dc.contributor.author","Shtivelman, Vladimir"],["dc.contributor.author","Edlmann, Katriona"],["dc.contributor.author","Gouze, Philippe"],["dc.contributor.author","Luquot, Linda"],["dc.contributor.author","Hingerl, Ferdinand"],["dc.contributor.author","Benson, Sally M."],["dc.contributor.author","Pezard, Philippe A."],["dc.contributor.author","Rasmusson, Kristina"],["dc.contributor.author","Liang, Tian"],["dc.contributor.author","Fagerlund, Fritjof"],["dc.contributor.author","Gendler, Michael"],["dc.contributor.author","Goldberg, Igor"],["dc.contributor.author","Tatomir, Alexandru"],["dc.contributor.author","Lange, Torsten"],["dc.contributor.author","Sauter, Martin"],["dc.contributor.author","Freifeld, Barry"],["dc.date.accessioned","2018-11-07T10:14:40Z"],["dc.date.available","2018-11-07T10:14:40Z"],["dc.date.issued","2016"],["dc.description.abstract","This paper provides an overview of the site characterization work at the Heletz site, in preparation to scientifically motivated CO2 injection experiments. The outcomes are geological and hydrogeological models with associated medium properties and baseline conditions. The work has consisted on first re-analyzing the existing data base from similar to 40 wells from the previous oil exploration studies, based on which a 3-dimensional structural model was constructed along with first estimates of the properties. The CO2 injection site is located on the saline edges of the Heletz depleted oil field. Two new deep (> 1600 m) wells were drilled within the injection site and from these wells a detailed characterization program was carried out, including coring, core analyses, fluid sampling, geophysical logging, seismic survey, in situ hydraulic testing and measurement of the baseline pressure and temperature. The results are presented and discussed in terms of characteristics of the reservoir and cap-rock, the mineralogy, water composition and other baseline conditions, porosity, permeability, capillary pressure and relative permeability. Special emphasis is given to petrophysical properties of the reservoir and the seal, such as comparing the estimates determined by different methods, looking at their geostatistical distributions as well as changes in them when exposed to CO2. (C) 2016 Elsevier Ltd. All rights reserved."],["dc.identifier.doi","10.1016/j.ijggc.2015.12.030"],["dc.identifier.isi","000378004200002"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/40662"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Sci Ltd"],["dc.relation.issn","1878-0148"],["dc.relation.issn","1750-5836"],["dc.title","Heletz experimental site overview, characterization and data analysis for CO2 injection and geological storage"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","18"],["dc.bibliographiccitation.journal","Environmental Earth Sciences"],["dc.bibliographiccitation.volume","79"],["dc.contributor.author","Taherdangkoo, Reza"],["dc.contributor.author","Tatomir, Alexandru"],["dc.contributor.author","Sauter, Martin"],["dc.date.accessioned","2021-04-14T08:23:33Z"],["dc.date.available","2021-04-14T08:23:33Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1007/s12665-020-09170-5"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/80960"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1866-6299"],["dc.relation.issn","1866-6280"],["dc.title","Modeling of methane migration from gas wellbores into shallow groundwater at basin scale"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","07002"],["dc.bibliographiccitation.journal","E3S Web of Conferences"],["dc.bibliographiccitation.volume","85"],["dc.contributor.author","Tatomir, Alexandru"],["dc.contributor.author","Dimache, Alexandru-Nicolae"],["dc.contributor.author","Iulian, Iancu"],["dc.contributor.author","Sauter, Martin"],["dc.contributor.editor","Balan, M.C."],["dc.contributor.editor","Bode, F."],["dc.contributor.editor","Croitoru, C."],["dc.contributor.editor","Dogeanu, A."],["dc.contributor.editor","Georgescu, A."],["dc.contributor.editor","Georgescu, C."],["dc.contributor.editor","Nastase, I."],["dc.contributor.editor","Sandu, M."],["dc.date.accessioned","2020-12-10T18:11:57Z"],["dc.date.available","2020-12-10T18:11:57Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1051/e3sconf/20198507002"],["dc.identifier.eissn","2267-1242"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/74192"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Modelling of CO 2 storage in geological formations with DuMu x , a free-open-source numerical framework. A possible tool to assess geological storage of carbon dioxide in Romania"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","S0883292721002821"],["dc.bibliographiccitation.firstpage","105151"],["dc.bibliographiccitation.journal","Applied Geochemistry"],["dc.bibliographiccitation.volume","136"],["dc.contributor.author","Maier, Uli"],["dc.contributor.author","Tatomir, Alexandru"],["dc.contributor.author","Sauter, Martin"],["dc.date.accessioned","2022-01-11T14:05:33Z"],["dc.date.available","2022-01-11T14:05:33Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1016/j.apgeochem.2021.105151"],["dc.identifier.pii","S0883292721002821"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/97687"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-507"],["dc.relation.issn","0883-2927"],["dc.title","Hydrogeochemical modeling of mineral alterations following CO2 injection"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","841"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Water"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Taherdangkoo, Reza"],["dc.contributor.author","Tatomir, Alexandru"],["dc.contributor.author","Taherdangkoo, Mohammad"],["dc.contributor.author","Qiu, Pengxiang"],["dc.contributor.author","Sauter, Martin"],["dc.date.accessioned","2020-12-10T18:47:26Z"],["dc.date.available","2020-12-10T18:47:26Z"],["dc.date.issued","2020"],["dc.description.sponsorship","Horizon 2020 Framework Programme"],["dc.identifier.doi","10.3390/w12030841"],["dc.identifier.eissn","2073-4441"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17370"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78762"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2073-4441"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Nonlinear Autoregressive Neural Networks to Predict Hydraulic Fracturing Fluid Leakage into Shallow Groundwater"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","S0360544222006843"],["dc.bibliographiccitation.firstpage","123781"],["dc.bibliographiccitation.journal","Energy"],["dc.bibliographiccitation.volume","250"],["dc.contributor.author","Zhou, Dejian"],["dc.contributor.author","Tatomir, Alexandru"],["dc.contributor.author","Niemi, Auli"],["dc.contributor.author","Tsang, Chin-Fu"],["dc.contributor.author","Sauter, Martin"],["dc.date.accessioned","2022-06-01T09:40:15Z"],["dc.date.available","2022-06-01T09:40:15Z"],["dc.date.issued","2022"],["dc.description.sponsorship"," China Scholarship Council"],["dc.description.sponsorship"," China Scholarship Council"],["dc.identifier.doi","10.1016/j.energy.2022.123781"],["dc.identifier.pii","S0360544222006843"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108677"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.issn","0360-5442"],["dc.rights.uri","https://www.elsevier.com/tdm/userlicense/1.0/"],["dc.title","Study on the influence of randomly distributed fracture aperture in a fracture network on heat production from an enhanced geothermal system (EGS)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","387"],["dc.bibliographiccitation.journal","Energy Procedia"],["dc.bibliographiccitation.lastpage","394"],["dc.bibliographiccitation.volume","97"],["dc.contributor.author","Gläser, D."],["dc.contributor.author","Dell’Oca, A."],["dc.contributor.author","Tatomir, A."],["dc.contributor.author","Bensabat, J."],["dc.contributor.author","Class, H."],["dc.contributor.author","Guadagnini, A."],["dc.contributor.author","Helmig, R."],["dc.contributor.author","McDermott, C."],["dc.contributor.author","Riva, M."],["dc.contributor.author","Sauter, M."],["dc.date.accessioned","2020-12-10T14:23:37Z"],["dc.date.available","2020-12-10T14:23:37Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.1016/j.egypro.2016.10.030"],["dc.identifier.issn","1876-6102"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71987"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","An Approach Towards a FEP-based Model for Risk Assessment for Hydraulic Fracturing Operations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","07003"],["dc.bibliographiccitation.journal","E3S Web of Conferences"],["dc.bibliographiccitation.volume","85"],["dc.contributor.author","Tatomir, Alexandru"],["dc.contributor.author","Zhou, Dejian"],["dc.contributor.author","Gao, Huhao"],["dc.contributor.author","Dimache, Alexandru-Nicolae"],["dc.contributor.author","Iancu, Iulian"],["dc.contributor.author","Sauter, Martin"],["dc.contributor.editor","Balan, M.C."],["dc.contributor.editor","Bode, F."],["dc.contributor.editor","Croitoru, C."],["dc.contributor.editor","Dogeanu, A."],["dc.contributor.editor","Georgescu, A."],["dc.contributor.editor","Georgescu, C."],["dc.contributor.editor","Nastase, I."],["dc.contributor.editor","Sandu, M."],["dc.date.accessioned","2020-12-10T18:11:57Z"],["dc.date.available","2020-12-10T18:11:57Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1051/e3sconf/20198507003"],["dc.identifier.eissn","2267-1242"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/74193"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Modelling of kinetic interface sensitive tracers reactive transport in 2D two-phase flow heterogeneous porous media"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","24"],["dc.bibliographiccitation.journal","International Journal of Greenhouse Gas Control"],["dc.bibliographiccitation.lastpage","43"],["dc.bibliographiccitation.volume","48"],["dc.contributor.author","Tatomir, Alexandru Bogdan"],["dc.contributor.author","Halisch, Matthias"],["dc.contributor.author","Duschl, Florian"],["dc.contributor.author","Peche, Aaron"],["dc.contributor.author","Wiegand, Bettina A."],["dc.contributor.author","Schaffer, Mario"],["dc.contributor.author","Licha, Tobias"],["dc.contributor.author","Niemi, Auli"],["dc.contributor.author","Bensabat, Jacob"],["dc.contributor.author","Sauter, Martin"],["dc.date.accessioned","2018-11-07T10:14:41Z"],["dc.date.available","2018-11-07T10:14:41Z"],["dc.date.issued","2016"],["dc.description.abstract","Heltez, Israel is the location for an onshore deep saline CO2 storage pilot site. The 'Heletz sandstone' is the building unit of the deep saline reservoir. Based on core samples of sandstone and caprock taken from the newly drilled injection (H18A) and monitoring wells (H18B), this article examines and reports the petrophysical properties of the Heletz Formation reservoir important for the short and long term trapping of CO2. A suite of laboratory and pore-scale CT-based modeling techniques are employed to determine the flow and transport parameters used by the continuum-scale numerical simulators and the mineral composition necessary for the understanding of mineral trapping processes. The effect of diagenesis on the reservoir parameters was determined in the laboratory using sedimentological, petrological, and petrophysical analyses. Variations in Sr-87/Sr-86 isotope composition and fluid inclusion analysis bring additional information about the diagenetic development and define the status quo of fluid-mineral reactions before CO2 injection. Cathodoluminescence microscopy and SEM/XRD revealed the amounts of minerals in the sandstone samples and caprock and explained the poor binding of the sandstone which may lead to mobilized material during injection. Digital image analysis on thin sections, cathodoluminescence, and SEM were integrated with attributes derived from mercury intrusion porosimetry, steady state gas permeametry or nuclear magnetic resonance to form an essential outline for the Heletz Formation reservoir. This relates storage space, injectivity and storage efficiency to features such as grain size, pore size distribution, effective porosity, intrinsic permeability, or tortuosity. Furthermore, the laboratory and numerical CT-based investigation techniques are compared and discussed. The benefit of combining experimental methods and numerical simulations on pore-scale models is the increase in confidence of the parameter accuracy, fundamental for the success of the planned activities at Heletz. (C) 2016 Elsevier Ltd. All rights reserved."],["dc.description.sponsorship","European Community [227286, 282900, 309067]"],["dc.identifier.doi","10.1016/j.ijggc.2016.01.030"],["dc.identifier.isi","000378004200003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/40663"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1878-0148"],["dc.relation.issn","1750-5836"],["dc.relation.orgunit","Abteilung Strukturgeologie und Geodynamik"],["dc.title","An integrated core-based analysis for the characterization of flow, transport and mineralogical parameters of the Heletz pilot CO2 storage site reservoir"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]