G\u00e9ochronologie U-Pb sur calcite appliqu\u00e9e \u00e0 la lithification des hardgrounds et \u00e0 la datation des limites de s\u00e9quences stratigraphiques<\/strong><\/h2>\n\n\n\nBenjamin Brigaud1<\/sup>, Simon Andrieu2<\/sup>, Thomas Blaise1<\/sup>, Fr\u00e9d\u00e9ric Haurine1<\/sup>, Jocelyn Barbarand1<\/sup><\/p>\n\n\n\n1<\/sup>Universit\u00e9 Paris-Saclay, CNRS, GEOPS, 91405 Orsay, France<\/p>\n\n\n\n2<\/sup>BRGM, 3 avenue Claude Guillemin, BP 36009, 45060 Orl\u00e9ans, France<\/p>\n\n\n\nLes discontinuit\u00e9s de type hardground<\/em> sur les plates-formes carbonat\u00e9es forment d\u2019importantes surfaces stratigraphiques qui peuvent \u00eatre utilis\u00e9es \u00e0 l\u2019\u00e9chelle du bassin pour corr\u00e9ler les limites des s\u00e9quences stratigraphiques. Bien que ces surfaces soient couramment utilis\u00e9es en stratigraphie s\u00e9quentielle, le moment et la dur\u00e9e de leur lithification et de la cristallisation des premiers ciments restent peu explor\u00e9s. Dans cette \u00e9tude, les premiers ciments calcitiques obturant l\u2019espace inter-granulaire des carbonates du Jurassique des bassins de Paris et Aquitain ont \u00e9t\u00e9 dat\u00e9s par g\u00e9ochronologie U-Pb dans cinq hardgrounds<\/em>. La position stratigraphique, le cadre s\u00e9quentiel \u00e0 haute r\u00e9solution et leur contexte s\u00e9dimentologique permettent d\u2019attribuer ces hardgrounds<\/em> \u00e0 des limites de s\u00e9quence de 3\u00e8me ordre, correspondant \u00e0 des limites de type maximum regressive surface<\/em>. La coh\u00e9rence ou la l\u00e9g\u00e8re d\u00e9viation entre l\u2019\u00e2ge des ciments et l\u2019\u00e2ge stratigraphique des discontinuit\u00e9s illustre le fait que la cimentation s\u2019est produite au d\u00e9but de l\u2019histoire diag\u00e9n\u00e9tique. Les \u00e2ges obtenus sur les ciments en dents de chien (\u00e2ge \u00e0 163.5\u00b16.0 Ma, soit \u00b1 3.7% \u00e0 2\u03c3) et les ciments microstalactitiques (\u00e2ge \u00e0 164.0\u00b19 Ma, \u00b1 5.5% \u00e0 2\u03c3) sont tr\u00e8s coh\u00e9rents avec les \u00e2ges suppos\u00e9s de la s\u00e9dimentation contrainte \u00e0 la pr\u00e9cision des zones biostratigraphiques \u00e0 ammonites. Cela permet d\u2019entrevoir que la g\u00e9ochronologie in situ<\/em> U-Pb sur calcite serait une m\u00e9thode prometteuse pour dater les limites des s\u00e9quences de d\u00e9p\u00f4t et affiner, dans le futur, l\u2019\u00e9chelle des temps g\u00e9ologique du Jurassique.<\/p>\n\n\n\n![\"\"](\"http:\/\/hebergement.universite-paris-saclay.fr\/brigaud\/wp-admin\/uploads\/Capture-de\u0301cran-2020-12-27-a\u0300-14.59.03-1024x573.png\")
<\/figure>\n\n\n\nNMR contribution in sub-horizontal well for porosity-permeability heterogeneity characterization in limestones: implications for 3D reservoir prediction and flow simulation in a world class geothermal aquifer<\/strong><\/h2>\n\n\n\nMaxime Catinat1,2<\/sup> Benjamin Brigaud1<\/sup>, Miklos Antics2<\/sup><\/p>\n\n\n\n1<\/sup>Universit\u00e9 Paris-Saclay, GEOPS, CNRS, 91405 Orsay, France<\/p>\n\n\n\n2<\/sup>GEOFLUID, 165 Rue de la belle \u00e9toile, 95700 Roissy CDG, France<\/p>\n\n\n\n3<\/sup>IFP Energies Nouvelles, 1-4 Avenue de bois pr\u00e9au, 92852 Rueil-Malmaison, France<\/p>\n\n\n\n4<\/sup>BRGM, 3 Avenue Claude Guillemin, 45100 Orl\u00e9ans<\/p>\n\n\n\n5<\/sup>Universit\u00e9 Paris-Saclay, CNRS, CEA, UVSQ, Laboratoire des Sciences du Climat et de l\u2019Environnement, 91191, Gif-sur-Yvette, France<\/p>\n\n\n\nWith around 50 heating networks today operating, the aera around Paris is the European region which concentrates the most heating network production units in terms of deep geothermal energy. In France, the energy-climate strategy plans to produce 6.4TWh in 2023, compared to 1.5TWh produced in 2016 [1]. Despite an exceptional geothermal potential, the current average development rate of 70MWh\/year will not allow this objective to be achieved, it would be necessary to reach a rate of 6 to 10 times higher. The optimization of the use of deep geothermal energy is a major challenge for France, and in Ile-de-France, which has a population of nearly 12 million inhabitants. This project aims to reconstruct and simulate heat flows in the Paris Basin using an innovative methodology (1) to characterize, predict and model the properties of reservoirs (facies, porosity, permeability) and (2) simulate future circulations and predict the performance at a given location (sedimentary basin) on its geothermal potential. This study focuses on a high density area of well infrastructures around Cachan, (8 doublets, 1 triplet in 56 km2). A new sub-horizontal doublet concept has been recently (2017) drilled at Cachan to enhance heat exchange in medium to low permeability formations [2]. Nuclear Magnetic Resonance (NMR T2) logs have been recorded in the sub-horizontal well (GCAH2) providing information on pore size distribution or permeability. We integrated all logging data (gamma ray, density, resistivity, sonic, NRM T2) of the 19 wells in the area and 120 thin section observations from cuttings to derive a combined electrofacies-sedimentary facies description. A total of 10 facies is grouped into 5 facies associations coded in all the 19 wells according to depths and 10 3rd order stratigraphic sequences are recognized. The cell size of the 3D grid was set to 50 m x 50 m for the XY dimensions. The Z-size depends on the thickness of the sub-zones, averaging 5 m. The resulting 3D grid is composed of a total of nearly 800 000 cells. After upscaled, facies and stratigraphic surfaces are used to create a reliable model using the \u201cTruncated Gaussian With Trends\u201d algorithm. The petrophysical distribution \u201cGaussian Random Function Simulation\u201d is used to populate the entire grid with properties, included 2000 NMR data, considering each facies independently. The best reservoir is mainly located in the shoal deposits oolitic grainstones with average porosity of 12.5% and permeability of 100 mD. Finally, hydrodynamic and thermal simulations have been performed using Pumaflow to give information on the potential risk of interference between the doublets in the area and advices are given in the well trajectory to optimize the connectivity and the lifetime of the system. NMR data, especially permeability, allow to greater improve the simulations, defining time probabilities of thermal breakthrough in an area of high density wells.<\/p>\n\n\n\n![\"\"](\"http:\/\/hebergement.universite-paris-saclay.fr\/brigaud\/wp-admin\/uploads\/Capture-de\u0301cran-2020-12-27-a\u0300-15.00.07-1024x573.png\")
<\/figure>\n\n\n\nR\u00e9f\u00e9rence<\/strong><\/p>\n\n\n\n[1] Minist\u00e8re de la Transition \u00e9cologique et solidaire, Strat\u00e9gie Fran\u00e7aise pour l\u2019\u00e9nergie et le climat, Programmation pluriannuelle de l\u2019\u00e9nergie. 2019.<\/p>\n\n\n\n
[2] Wielemaker, E. Cavalleri, C., Dahlhaus, L., Reynaldos A., Sosio,G., Ungemach, P., Antics, M., Davaux, M., 2020. Delineating the geothermal structure and flow properties in a sub-horizontal well with the use of wireline and LWD data in a multiphysics approach. SPWLA 61st Annual Logging Symposium<\/p>\n\n\n\n
Contribution de la photogramm\u00e9trie par drone \u00e0 la mod\u00e9lisation 3D des h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9s des r\u00e9servoirs carbonat\u00e9s (carri\u00e8re de Massangis, Bassin de Paris)<\/strong><\/h2>\n\n\n\n
1<\/sup>Universit\u00e9 Paris-Saclay, CNRS, GEOPS, 91405 Orsay, France<\/p>\n\n\n\n 2<\/sup>BRGM, 3 avenue Claude Guillemin, BP 36009, 45060 Orl\u00e9ans, France<\/p>\n\n\n\n Les discontinuit\u00e9s de type hardground<\/em> sur les plates-formes carbonat\u00e9es forment d\u2019importantes surfaces stratigraphiques qui peuvent \u00eatre utilis\u00e9es \u00e0 l\u2019\u00e9chelle du bassin pour corr\u00e9ler les limites des s\u00e9quences stratigraphiques. Bien que ces surfaces soient couramment utilis\u00e9es en stratigraphie s\u00e9quentielle, le moment et la dur\u00e9e de leur lithification et de la cristallisation des premiers ciments restent peu explor\u00e9s. Dans cette \u00e9tude, les premiers ciments calcitiques obturant l\u2019espace inter-granulaire des carbonates du Jurassique des bassins de Paris et Aquitain ont \u00e9t\u00e9 dat\u00e9s par g\u00e9ochronologie U-Pb dans cinq hardgrounds<\/em>. La position stratigraphique, le cadre s\u00e9quentiel \u00e0 haute r\u00e9solution et leur contexte s\u00e9dimentologique permettent d\u2019attribuer ces hardgrounds<\/em> \u00e0 des limites de s\u00e9quence de 3\u00e8me ordre, correspondant \u00e0 des limites de type maximum regressive surface<\/em>. La coh\u00e9rence ou la l\u00e9g\u00e8re d\u00e9viation entre l\u2019\u00e2ge des ciments et l\u2019\u00e2ge stratigraphique des discontinuit\u00e9s illustre le fait que la cimentation s\u2019est produite au d\u00e9but de l\u2019histoire diag\u00e9n\u00e9tique. Les \u00e2ges obtenus sur les ciments en dents de chien (\u00e2ge \u00e0 163.5\u00b16.0 Ma, soit \u00b1 3.7% \u00e0 2\u03c3) et les ciments microstalactitiques (\u00e2ge \u00e0 164.0\u00b19 Ma, \u00b1 5.5% \u00e0 2\u03c3) sont tr\u00e8s coh\u00e9rents avec les \u00e2ges suppos\u00e9s de la s\u00e9dimentation contrainte \u00e0 la pr\u00e9cision des zones biostratigraphiques \u00e0 ammonites. Cela permet d\u2019entrevoir que la g\u00e9ochronologie in situ<\/em> U-Pb sur calcite serait une m\u00e9thode prometteuse pour dater les limites des s\u00e9quences de d\u00e9p\u00f4t et affiner, dans le futur, l\u2019\u00e9chelle des temps g\u00e9ologique du Jurassique.<\/p>\n\n\n\n Maxime Catinat1,2<\/sup> Benjamin Brigaud1<\/sup>, Miklos Antics2<\/sup><\/p>\n\n\n\n 1<\/sup>Universit\u00e9 Paris-Saclay, GEOPS, CNRS, 91405 Orsay, France<\/p>\n\n\n\n 2<\/sup>GEOFLUID, 165 Rue de la belle \u00e9toile, 95700 Roissy CDG, France<\/p>\n\n\n\n 3<\/sup>IFP Energies Nouvelles, 1-4 Avenue de bois pr\u00e9au, 92852 Rueil-Malmaison, France<\/p>\n\n\n\n 4<\/sup>BRGM, 3 Avenue Claude Guillemin, 45100 Orl\u00e9ans<\/p>\n\n\n\n 5<\/sup>Universit\u00e9 Paris-Saclay, CNRS, CEA, UVSQ, Laboratoire des Sciences du Climat et de l\u2019Environnement, 91191, Gif-sur-Yvette, France<\/p>\n\n\n\n With around 50 heating networks today operating, the aera around Paris is the European region which concentrates the most heating network production units in terms of deep geothermal energy. In France, the energy-climate strategy plans to produce 6.4TWh in 2023, compared to 1.5TWh produced in 2016 [1]. Despite an exceptional geothermal potential, the current average development rate of 70MWh\/year will not allow this objective to be achieved, it would be necessary to reach a rate of 6 to 10 times higher. The optimization of the use of deep geothermal energy is a major challenge for France, and in Ile-de-France, which has a population of nearly 12 million inhabitants. This project aims to reconstruct and simulate heat flows in the Paris Basin using an innovative methodology (1) to characterize, predict and model the properties of reservoirs (facies, porosity, permeability) and (2) simulate future circulations and predict the performance at a given location (sedimentary basin) on its geothermal potential. This study focuses on a high density area of well infrastructures around Cachan, (8 doublets, 1 triplet in 56 km2). A new sub-horizontal doublet concept has been recently (2017) drilled at Cachan to enhance heat exchange in medium to low permeability formations [2]. Nuclear Magnetic Resonance (NMR T2) logs have been recorded in the sub-horizontal well (GCAH2) providing information on pore size distribution or permeability. We integrated all logging data (gamma ray, density, resistivity, sonic, NRM T2) of the 19 wells in the area and 120 thin section observations from cuttings to derive a combined electrofacies-sedimentary facies description. A total of 10 facies is grouped into 5 facies associations coded in all the 19 wells according to depths and 10 3rd order stratigraphic sequences are recognized. The cell size of the 3D grid was set to 50 m x 50 m for the XY dimensions. The Z-size depends on the thickness of the sub-zones, averaging 5 m. The resulting 3D grid is composed of a total of nearly 800 000 cells. After upscaled, facies and stratigraphic surfaces are used to create a reliable model using the \u201cTruncated Gaussian With Trends\u201d algorithm. The petrophysical distribution \u201cGaussian Random Function Simulation\u201d is used to populate the entire grid with properties, included 2000 NMR data, considering each facies independently. The best reservoir is mainly located in the shoal deposits oolitic grainstones with average porosity of 12.5% and permeability of 100 mD. Finally, hydrodynamic and thermal simulations have been performed using Pumaflow to give information on the potential risk of interference between the doublets in the area and advices are given in the well trajectory to optimize the connectivity and the lifetime of the system. NMR data, especially permeability, allow to greater improve the simulations, defining time probabilities of thermal breakthrough in an area of high density wells.<\/p>\n\n\n\n R\u00e9f\u00e9rence<\/strong><\/p>\n\n\n\n [1] Minist\u00e8re de la Transition \u00e9cologique et solidaire, Strat\u00e9gie Fran\u00e7aise pour l\u2019\u00e9nergie et le climat, Programmation pluriannuelle de l\u2019\u00e9nergie. 2019.<\/p>\n\n\n\n [2] Wielemaker, E. Cavalleri, C., Dahlhaus, L., Reynaldos A., Sosio,G., Ungemach, P., Antics, M., Davaux, M., 2020. Delineating the geothermal structure and flow properties in a sub-horizontal well with the use of wireline and LWD data in a multiphysics approach. SPWLA 61st Annual Logging Symposium<\/p>\n\n\n\n<\/figure>\n\n\n\nNMR contribution in sub-horizontal well for porosity-permeability heterogeneity characterization in limestones: implications for 3D reservoir prediction and flow simulation in a world class geothermal aquifer<\/strong><\/h2>\n\n\n\n
<\/figure>\n\n\n\nContribution de la photogramm\u00e9trie par drone \u00e0 la mod\u00e9lisation 3D des h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9s des r\u00e9servoirs carbonat\u00e9s (carri\u00e8re de Massangis, Bassin de Paris)<\/strong><\/h2>\n\n\n\n
![\"\"](\"http:\/\/hebergement.universite-paris-saclay.fr\/brigaud\/wp-admin\/uploads\/Capture-de\u0301cran-2020-12-27-a\u0300-14.59.20-1024x573.png\")
<\/figure>\n","protected":false},"excerpt":{"rendered":"