Reservoir-scale transdimensional fracture network inversion

dc.contributor.authorSomogyvári, Márk
dc.contributor.authorKühn, Michael
dc.contributor.authorReich, Sebastian
dc.date.accessioned2020-01-13T10:53:13Z
dc.date.available2020-01-13T10:53:13Z
dc.date.issued2019-11-08
dc.description.abstractThe Waiwera aquifer hosts a structurally complex geothermal groundwater system, where a localized thermal anomaly feeds the thermal reservoir. The temperature anomaly is formed by the mixing of waters from three different sources: fresh cold groundwater, cold seawater and warm geothermal water. The stratified reservoir rock has been tilted, folded, faulted, and fractured by tectonic movement, providing the pathways for the groundwater. Characterization of such systems is challenging, due to the resulting complex hydraulic and thermal conditions which cannot be represented by a continuous porous matrix. By using discrete fracture network models (DFNs) the discrete aquifer features can be modelled, and the main geological structures can be identified. A major limitation of this modelling approach is that the results are strongly dependent on the parametrization of the chosen initial solution. Classic inversion techniques require to define the number of fractures before any interpretation is done. In this research we apply the transdimensional DFN inversion methodology that overcome this limitation by keeping fracture numbers flexible and gives a good estimation on fracture locations. This stochastic inversion method uses the reversible-jump Markov chain Monte Carlo algorithm and was originally developed for tomographic experiments. In contrast to such applications, this study is limited to the use of steady-state borehole temperature profiles – with significantly less data. This is mitigated by using a strongly simplified DFN model of the reservoir, constructed according to available geological information. We present a synthetic example to prove the viability of the concept, then use the algorithm on field observations for the first time. The fit of the reconstructed temperature fields cannot compete yet with complex three-dimensional continuum models, but indicate areas of the aquifer where fracturing plays a big role. This could not be resolved before with continuum modelling. It is for the first time that the transdimensional DFN inversion was used on field data and on borehole temperature logs as input.en
dc.description.sponsorshipDFG, 318763901, SFB 1294, Data Assimilation - The seamless integration of data and models, Assimilating data with different degrees of uncertainty into statistical models for earthquake occurrence (B04)en
dc.description.sponsorshipTU Berlin, Open-Access-Mittel - 2019en
dc.identifier.eissn1680-7359
dc.identifier.issn1680-7340
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/10590
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-9516
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc550 Geowissenschaftende
dc.subject.otherdiscrete fracture network modelsen
dc.subject.othertransdimensional DFN inversionen
dc.subject.otherWaiwera aquiferen
dc.subject.otherreservoiren
dc.subject.othergeothermal groundwateren
dc.titleReservoir-scale transdimensional fracture network inversionen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.5194/adgeo-49-207-2019en
dcterms.bibliographicCitation.journaltitleAdvances in Geosciencesen
dcterms.bibliographicCitation.originalpublishernameCopernicus Publicationsen
dcterms.bibliographicCitation.originalpublisherplaceGöttingenen
dcterms.bibliographicCitation.pageend214en
dcterms.bibliographicCitation.pagestart207en
dcterms.bibliographicCitation.volume49en
tub.accessrights.dnbfreeen
tub.affiliationFak. 6 Planen Bauen Umwelt>Inst. Angewandte Geowissenschaften>FG Hydrogeologiede
tub.affiliation.facultyFak. 6 Planen Bauen Umweltde
tub.affiliation.groupFG Hydrogeologiede
tub.affiliation.instituteInst. Angewandte Geowissenschaftende
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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