{"id":129,"date":"2020-04-03T10:41:36","date_gmt":"2020-04-03T09:41:36","guid":{"rendered":"http:\/\/hebergement.universite-paris-saclay.fr\/upgeo\/?page_id=129"},"modified":"2020-04-03T13:06:03","modified_gmt":"2020-04-03T12:06:03","slug":"phd-position","status":"publish","type":"page","link":"https:\/\/hebergement.universite-paris-saclay.fr\/upgeo\/?page_id=129&lang=en","title":{"rendered":"PhD Position"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Geothermal\nenergy in siliciclastic reservoirs: Contribution of field analogues and\nhydrodynamic simulation<\/h1>\n\n\n\n<ul class=\"wp-block-list\"><li>School: Universit\u00e9 Paris-Saclay<\/li><li>School PhD: Mechanical and energetic sciences, materials, geosciences<\/li><li>Specialty: solid earth: geodynamics of upper envelopes, paleobiosphere<\/li><li>Research Unit: Geosciences Paris Sud<\/li><li>Supervision of the thesis:&nbsp; Benjamin Brigaud &amp; Rapha\u00ebl Bourillot<\/li><li>Funding: from 01-10-2020 to 30-09-2023 Origin of funds: ANR<\/li><li>Employer: Paris-Saclay University<\/li><li>Out of competition \u2013 ANR<\/li><li><a href=\"https:\/\/anr.fr\/Projet-ANR-19-CE05-0032\">https:\/\/anr.fr\/Projet-ANR-19-CE05-0032<\/a><\/li><li>Start of thesis on October 1, 2020<\/li><li>Application deadline June 30, 2020<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Skills\/Qualifications<\/h2>\n\n\n\n<p>Student geologist with\na Master degree, with strong skills in sedimentary geology. The candidate will\nhave a solid knowledge of facies sedimentology, sequence stratigraphy,\nsedimentary petrography both in the field and in the laboratory. Experience\nwith modeling software will be a plus.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Presentation of the PhD\nproject<\/h2>\n\n\n\n<p>In France, heating networks are largely dependent on fossil fuels (42%),\nand deep geothermal energy represents less than 5% of the energy mix of heating\nnetworks [1]. Deployment\nof geothermal energy in large cities is limited by a geological risk, which is\ndifficult to predict. <\/p>\n\n\n\n<p>The R\u00e9gion Ile-de-France&nbsp; energy-climate strategy has established the\nobjective of producing 37TWh of renewable energy by 2030 [2], i.e., twice the\ncurrent production (18TWh). This strategy targets to increase deep geothermal\nheat production to 3TWh, representing 8% of the renewable energy produced in\nIle-de-France in 2030, a 3.5 factor higher than in 2015 [2]. As some aquifers\nare actually intensively exploited in Ile-de-France, the challenge will be to\nincrease by a factor of 3.5 the heating networks using geothermal energy by\ntargeting new potential area. In addition, there is a real risk that an\ninstallation may not reach a geothermal resource with sufficient flow and\ntemperature characteristics to ensure the cost-effectiveness of the project\nduring its life time [2]. This risk constitutes a real obstacle for the future development of\ngeothermal energy in Ile-de-France. <\/p>\n\n\n\n<p>In Ile-de-France, Two main\ndeep (between 0.2 km and 2 km) geothermal aquifers are exploited using\ngeothermal doublets for heating networks: (1) the Middle Jurassic limestones\n(55-80\u00b0C) and (2) the Early Cretaceous sandstones (30-35\u00b0C). <\/p>\n\n\n\n<p>This project will work on\ninnovative modeling methods by proposing solutions that optimize and explore\nthe development of new areas in the Paris Basin. The optimization of the use of\ndeep geothermal energy is a major challenge for the R\u00e9gion Ile-de-France, which\nhas a population of nearly 12 million inhabitants.<\/p>\n\n\n\n<p>This optimization of geothermal production of aquifers requires (1) precise\nknowledge of the reservoir heterogeneity in terms of sedimentary geometries,\nporosity\/permeability, reservoir connectivity and (2) reliable numerical\nsimulations of flows and temperature evolution in the underground 30 years or\neven 100 years after production starts [3]. In order to reach the objective defined by the Ile-de-France region in\nits \u00ab\u00a0energy-climate\u00a0\u00bb strategy [2] by reducing the risk of future\noperations as much as possible. For investors, often who are often from the\npublic domain (municipalities or communities of municipalities), it is becoming\nurgent to have a reliable and precise numerical geological model, making it\npossible to predict the thermal and hydrological evolution of the aquifers. A\nwell-defined stratigraphic architecture would reduce these risks by allowing\nprecise water and heat flow simulations, identifying the influence by\ngeostatistical distributions. This simulation will be done at the finest\npossible scale, taking into account the heterogeneity of sedimentary facies,\nporosity, diagenetic alterations, stratigraphic architecture, relationships\nwith fracturing and the study of field analogues (outcrops).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Research area<\/h2>\n\n\n\n<p>Sedimentary geology\nreservoir and geothermal energy<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Research objectives<\/h2>\n\n\n\n<p>The objective is to\ndevelop a tool that predicts the performance (sedimentary basin) of the geothermal\npotential in terms of flow, productivity, temperature, and energy conservation from\nanalogous field reservoirs, wells and modeling, at a given location. It is a\nquestion of being able to provide a tool to assist the investors in the\ndecision for the installation of future geothermal wells by giving risk\ncriteria to be taken into account for the project.<\/p>\n\n\n\n<p>The main objective of\nthis thesis project will be to propose a reliable 3D geological model of the\nstratigraphic geometries and the porous network to simulate the flow on the\ntarget zones (multi-kilometres). We wish to focus mainly on the study of the\nfine characteristics of siliciclastic geothermal reservoirs (Triassic and Early\nCretaceous sands) in the Ile-de-France region by comparing with field analogues\nin France, Spain and USA.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Logs, cores and cuttings<\/h5>\n\n\n\n<p>A database compiling\nthe logs and petrophysical data of 80 wells on a zone from South Paris to Melun\nis available at GEOPS on Petrel\u00a9. It will be necessary to input this database\nwith data from the subsurface bank (http:\/\/infoterre.brgm.fr\/). Two reference\nwells will be sampled (Bobigny and Saclay) and analysed in terms of facies,\npetrography and petrophysics (porosity, permeability, NMR). We plan to process\nthe NMR logs of the available wells by cross-referencing the petrographic\nanalysis of facies and pore types with the detailed study of thin slices. The\ngoal is to conceptualize the geometry of reservoir bodies. The thesis project\nalso aims at comparing the logs and facies of these wells in order to propose a\nrock typing of the Early Cretaceous sands and of the Triassic sandstone facies using\nEasyTrace.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Outcrop investigations as reservoir analogs<\/h5>\n\n\n\n<p>The\noutcrops closest to the Paris region, are currently under study\n(Cuy-Saint-Fiacre, Seine-Maritime) and can be considered as analog to the\nreservoirs under Paris. 3D photogrammetry has been successfully tested and\noptimized by GEOPS to fit with inherent constraints due to field acquisition. A\ndrone overflights acquisition associated with\nphotogrammetry is in progress to provide an accurate stratigraphic model of the\noutcropping reservoir analogues and we plan to acquire images on two other\nfield analogues: (1) an exceptional\nanalogue of estuarine\/deltaic sandstones (Sego Formation, Late Cretaceous,\nColorado, USA), (2) Miocene deposits from the subalpine basin and in (3) Eocene\ndeposits from the South Pyrenean Basin [4]. This will lead to the construction of 3D digital outcrops models with Virtual Reality Geological Studio (VRGS :\nhttps:\/\/www.click2go.umip.com\/i\/s_w\/vrgs.html), capturing sedimentary heterogeneities at decimetre to kilometre scales,\nwhich will subsequently be used for reservoir flow modelling [5].<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Statistic model on the Petrel geomodeler<\/h5>\n\n\n\n<p>Well and outcrop study data will allow 3D static modelling of the reservoir\narchitecture using sequence stratigraphy concepts and statistical analysis of\nsample observations. The comparison of geological observations with 3D models\nof outcrops will provide an opportunity to develop different stratigraphic\npatterns that will serve as a basis for 3D geological modelling of reservoir\nproperties (porosity and permeability). On the basis of the statistical models\nthat will be obtained, 3D numerical models of outcrops will be constructed to\ncapture sediment heterogeneity at decimetric to kilometric scales for reservoir\nflow modelling [5]. This modeling is a prerequisite for performing in-layer\nflow tests (using Tough2, PumaFlow or Eclipse).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Methodology<\/h2>\n\n\n\n<p>To sum up, the main methods of UPGEO will be:<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Well-log description<\/h5>\n\n\n\n<ul class=\"wp-block-list\"><li>Use\nwell-logs, especially NMR, and cuttings\/plugs\/core for \u00b5CT scan to characterize\nthe facies, microstructure and petrophysical properties of the studied rocks.<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">Fieldwork<\/h5>\n\n\n\n<ul class=\"wp-block-list\"><li>Integrate\ndata from outcrop analogues by drone photogrammetry acquisition into 3D\nreservoir models with PIX4D, Virtual Reality Geological Studio et Petrel<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">Geological modeling<\/h5>\n\n\n\n<ul class=\"wp-block-list\"><li>Use of geostatistics\nto populate facies and stratigraphic geometries of carbonate and siliciclastic\nreservoirs.<\/li><li>Propose new\nconcepts of reservoir connectivity, from geostatistical models, to increase\nreliability of flow simulations.<\/li><li>Use the\nsoftwares PIX4D, Virtual Reality Geological Studio and Petrel to characterize outcropping\nreservoir analogues &#8211; &#8211; Use Petrel to propose properties modeling<\/li><li>Develop\npredictive models for flow simulation in clastic geothermal sedimentary system\nwith ECLIPSE and PUMAFLOW.<\/li><li>Provide an\ninnovative workflow for simulation applicable to other sedimentary basins.<\/li><\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">Expected results<\/h5>\n\n\n\n<ul class=\"wp-block-list\"><li>&#8211;\n3D outcrop models, identification of facies or geobodies which could be\nconsidered as one reservoir cell<\/li><li>&#8211; Facies,\nsequence stratigraphy and petrophysics (NMR, porosity, and permeabilty on about\n100 plugs, about 10 digital 3D micro-scale RVE from \u00b5CT scan of reservoir rock\nfabrics, about 10 rock fabrics expected)<\/li><li>&#8211; Type of\nstatistics to be used to fill the empty cells between wells or to populate the\nproperties (facies, petrophysics) <\/li><li>&#8211; 3D\nGeological geostatistical model (3D grid)<\/li><li>&#8211; Simulation hydrodynamique sur Eclipse et\nPumaFlow<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Thesis supervision<\/h2>\n\n\n\n<p>Benjamin Brigaud (G\u00e9osciences Paris Sud, Universit\u00e9 paris-Saclay) and\nRapha\u00ebl Bourillot (G\u00e9oRessources &amp; Environnement, Bordeaux INP)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Context of the research\nproject<\/h2>\n\n\n\n<p>This PhD is part of\nANR UPGEO \u00ab UPscaling and heat simulations for improving the efficiency of deep\nGEOthermal energy \u00bb funded by the French Research Agency (ANR). The PhD project\nwill be funded by the ANR.<\/p>\n\n\n\n<p>UPGEO is a geothermal\nresearch program funded by the Agence Nationale pour la Recherche, between the University\nParis-Saclay, University of Lyon, Bordeaux INP, BRGM, IFPEN and Geofluid <a href=\"http:\/\/hebergement.universite-paris-saclay.fr\/upgeo\">http:\/\/hebergement.universite-paris-saclay.fr\/upgeo<\/a>,<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Objectives for the valorization of the doctoral student&rsquo;s research work<\/h2>\n\n\n\n<p>Results will be\npresented and published in international conferences (European Geosciences\nUnion meeting, World Geothermal Congress \u2026) and journals (Geothermics,\nSedimentology, Sedimentary Geology\u2026)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Planned collaborations<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>Collaboration possible with UPGEO <\/li><li>G\u00e9osciences Paris Sud (GEOPS), Universit\u00e9 Paris-Saclay\/CNRS, Orsay, France<\/li><li>Laboratoire de Math\u00e9matique d\u2019Orsay (LMO), Universit\u00e9 Paris-Saclay\/CNRS, Orsay, France<\/li><li>Laboratoire des Sciences du Climat et de l\u2019Environnement (LSCE), Universit\u00e9 Paris-Saclay\/CNRS\/CEA, Gif-sur-Yvette, France<\/li><li>Institut Camille Jordan (ICJ), Universit\u00e9 Lyon\/CNRS, Lyon, France<\/li><li>G\u00e9oressources &amp; Environnement (G&amp;E), Bordeaux-INP-Universit\u00e9 Bordeaux Montaigne, Bordeaux, France<\/li><li>BRGM, Orl\u00e9ans, France<\/li><li>IFPEN, Rueil-Malmaison, France<\/li><li>GEOFLUID, Roissy, France<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">International perspectives<\/h2>\n\n\n\n<p>Possible international\ncollaborations (especially as part of the fieldwork in USA.)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">R\u00e9f\u00e9rences bibliographiques<\/h2>\n\n\n\n<p>[1] P\u00e9cresse, V., 2018. Strat\u00e9gie \u00c9nergie-Climat de La\nR\u00e9gion \u00cele-De-France. Rapport n\u00b0CR 2018-016, 74 pages<\/p>\n\n\n\n<p>[2] Minist\u00e8re de l\u2019Environnement, de l\u2019\u00e9nergie et de la mer\nen charge des relations internationales sur le climat, 2017. Chiffres cl\u00e9s de\nl\u2019\u00e9nergie, Edition 2016. 71 pages<\/p>\n\n\n\n<p>[3] Willems, C. J., Nick, H. M., Donselaar, M. E., Weltje,\nG. J., Bruhn, D. F., 2017. On\nthe connectivity anisotropy in fluvial Hot Sedimentary Aquifers and its\ninfluence on geothermal doublet performance. Geothermics, 65, 222-233.<\/p>\n\n\n\n<p>[4] Andrieu S., Brigaud B., Barbarand J., Lasseur E.,\n2017. Linking early diagenesis and\nsedimentary facies to sequence stratigraphy on a prograding oolitic wedge: the\nBathonian of western France (Aquitaine Basin). Marine and Petroleum Geology.\n81, 169-195. <\/p>\n\n\n\n<p>[5] Cabello, P., Dom\u00ednguez,\nD., Murillo-L\u00f3pez, M. H., L\u00f3pez-Blanco, M., Garc\u00eda-Sell\u00e9s, D., Cuevas, J. L.,\nMarzo, M., Arbu\u00e9s, P., 2018. From conventional outcrop datasets and digital\noutcrop models to flow simulation in the Pont de Montanana point-bar deposits\n(Ypresian, Southern Pyrenees). Marine and Petroleum Geology, 94, 19-42.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Geothermal energy in siliciclastic reservoirs: Contribution of field analogues and hydrodynamic simulation School: Universit\u00e9 Paris-Saclay School PhD: Mechanical and energetic sciences, materials, geosciences Specialty: solid earth: geodynamics of upper envelopes, paleobiosphere Research Unit: Geosciences Paris Sud Supervision of the thesis:&nbsp; Benjamin Brigaud &amp; Rapha\u00ebl Bourillot Funding: from 01-10-2020 to 30-09-2023 Origin of funds: ANR Employer: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":124,"parent":150,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-129","page","type-page","status-publish","has-post-thumbnail","hentry","post-preview"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PhD Position - UPGEO<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hebergement.universite-paris-saclay.fr\/upgeo\/?page_id=129&lang=en\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhD Position - UPGEO\" \/>\n<meta property=\"og:description\" content=\"Geothermal energy in siliciclastic reservoirs: Contribution of field analogues and hydrodynamic simulation School: Universit\u00e9 Paris-Saclay School PhD: Mechanical and energetic sciences, materials, geosciences Specialty: solid earth: geodynamics of upper envelopes, paleobiosphere Research Unit: Geosciences Paris Sud Supervision of the thesis:&nbsp; Benjamin Brigaud &amp; Rapha\u00ebl Bourillot Funding: from 01-10-2020 to 30-09-2023 Origin of funds: ANR Employer: [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/hebergement.universite-paris-saclay.fr\/upgeo\/?page_id=129&amp;lang=en\" \/>\n<meta property=\"og:site_name\" content=\"UPGEO\" \/>\n<meta property=\"article:modified_time\" content=\"2020-04-03T12:06:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/hebergement.universite-paris-saclay.fr\/upgeo\/wp-content\/uploads\/2020\/04\/Capture-d\u2019e\u0301cran-2020-04-03-a\u0300-11.02.08.png\" \/>\n\t<meta property=\"og:image:width\" content=\"751\" \/>\n\t<meta property=\"og:image:height\" content=\"251\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/hebergement.universite-paris-saclay.fr\/upgeo\/?page_id=129&lang=en\",\"url\":\"https:\/\/hebergement.universite-paris-saclay.fr\/upgeo\/?page_id=129&lang=en\",\"name\":\"PhD Position - 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