Multi-scale hydraulic characterization of stimulated fractured crystalline rock at Grimsel test site

In-situ Stimulation and Circulation (ISC), Swiss Alps, hydraulic fracturing, hermo-hydro-mechanical (THM) behavior

Passive temperature tomography experiments to characterize transmissivity and connectivity of preferential flow paths in fractured media

International audienceThe detection of preferential flow paths and the characterization of their hydraulic properties are major challenges in fractured rock hydrology. In this study, we propose to use temperature as a passive tracer to characterize fracture connectivity and hydraulic properties. In particular, we propose a new temperature tomography field method in which borehole temperature profiles are measured under different pumping conditions by changing successively the pumping and observation boreholes. To interpret these temperature- depth profiles, we propose a three step inversion-based framework. We consider first an inverse model that allows for automatic permeable fracture detection from borehole temperature profiles under pumping conditions. Then we apply a borehole-scale flow and temperature model to produce flowmeter profiles by inversion of temperature profiles. This second step uses inversion to characterize the relationship between temperature variations with depth and borehole flow velocities (Klepikova et al., 2011). The third inverse step, which exploits cross-borehole flowmeter tests, is aimed at inferring inter-borehole fracture connectivity and transmissivities. This multi-step inverse framework provides a means of including temperature profiles to image fracture hydraulic properties and connectivity. We test the proposed approach with field data obtained from the Ploemeur (N.W. France) fractured rock aquifer, where the full temperature tomography experiment was carried out between three 100 m depth boreholes 10 m apart. We identified several transmissive fractures and their connectivity which correspond to known fractures and corroborate well with independent information, including available borehole flowmeter tests and geophysical data. Hence, although indirect, temperature tomography appears to be a promising approach for characterizing connectivity patterns and transmissivities of the main flow paths in fractured rock

Developing the accounting concept in the public sector

The main goal of this study is to develop an accounting concept for the public administration sector of the Russian Federation with state (municipal) institutions as an example. To fulfill this task, the specifics of the state (municipal) institutions were explored, the international practice of arranging accounting in the public sector was analyzed, and the current state of the information and administration function of accounting in the institutions under study was examined. Because of the analysis, specific proposals for the development of the information function of accounting were developed through the application of the accounting policy template and the development of management accounting for obtaining information for internal users. Regarding the development of the control function of accounting in state (municipal) institutions, the use of a risk map, a register of risks and other administration tools and procedures was justified. The scientific novelty of the study is in systematization of the problems existing in the formation of the accounting system in state (municipal) institutions and in the development of proposals to improve its efficiency.peer-reviewe

Heat as a tracer for understanding transport processes in fractured media: Theory and field assessment from multiscale thermal push-pull tracer tests

International audienceThe characterization and modeling of heat transfer in fractured media is particularly challenging as the existence of fractures at multiple scales induces highly localized flow patterns. From a theoretical and numerical analysis of heat transfer in simple conceptual models of fractured media, we show that flow channeling has a significant effect on the scaling of heat recovery in both space and time. The late time tailing of heat recovery under channeled flow is shown to diverge from the TðtÞ / t 21:5 behavior expected for the classical parallel plate model and follow the scaling TðtÞ / 1=tðlog tÞ 2 for a simple channel modeled as a tube. This scaling, which differs significantly from known scalings in mobile-immobile systems, is of purely geometrical origin: late time heat transfer from the matrix to a channel corresponds dimensionally to a radial diffusion process, while heat transfer from the matrix to a plate may be considered as a one-dimensional process. This phenomenon is also manifested on the spatial scaling of heat recovery as flow channeling affects the decay of the thermal breakthrough peak amplitude and the increase of the peak time with scale. These findings are supported by the results of a field experimental campaign performed on the fractured rock site of Ploemeur. The scaling of heat recovery in time and space, measured from thermal breakthrough curves measured through a series of push-pull tests at different scales, shows a clear signature of flow channeling. The whole data set can thus be successfully represented by a multichannel model parametrized by the mean channel density and aperture. These findings, which bring new insights on the effect of flow channeling on heat transfer in fractured rocks, show how heat recovery in geothermal tests may be controlled by fracture geometry. In addition, this highlights the interest of thermal push-pull tests as a complement to solute tracers tests to infer fracture aperture and geometry

Uncertainty quantification of medium-term heat storage from short-term geophysical experiments using Bayesian Evidential Learning

In theory, aquifer thermal energy storage (ATES) systems can recover in winter the heat stored in the aquifer during summer to increase the energy efficiency of the system. In practice, the energy efficiency is often lower than expected from simulations due to spatial heterogeneity of hydraulic properties or non-favorable hydrogeological conditions. A proper design of ATES systems should therefore consider the uncertainty of the prediction related to those parameters. We use a novel framework called Bayesian Evidential Learning (BEL) to estimate the heat storage capacity of an alluvial aquifer using a heat tracing experiment. BEL is based on two main stages: pre- and post-field data acquisition. Before data acquisition, Monte Carlo simulations and global sensitivity analysis are used to assess the information content of the data to reduce the uncertainty of the prediction. After data acquisition, prior falsification and machine learning based on the same Monte Carlo are used to directly assess uncertainty on key prediction variables from observations. The result is a full quantification of the posterior distribution of the prediction conditioned to observed data, without any explicit full model inversion. We demonstrate the methodology in field conditions and validate the framework using independent measurements. Plain Language Summary : Geothermal energy can be extracted or stored in shallow aquifers through systems called aquifer thermal energy storage (ATES). In practice, the energy efficiency of those systems is often lower than expected because of the uncertainty related to the subsurface. To assess the uncertainty, a common method in the scientific community is to generate multiple models of the subsurface fitting the available data, a process called stochastic inversion. However this process is time consuming and difficult to apply in practice for real systems. In this contribution, we develop a novel approach to avoid the inversion process called Bayesian Evidential Learning. We are still using many models of the subsurface, but we do not try to fit the available data. Instead, we use the model to learn a direct relationship between the data and the response of interest to the user. For ATES systems, this response corresponds to the energy extracted from the system. It allows to predict the amount of energy extracted with a quantification of the uncertainty. This framework makes uncertainty assessment easier and faster, a prerequisite for robust risk analysis and decision making. We demonstrate the method in a feasibility study of ATES design

Transcriptome‐based phylogeny of endemic Lake Baikal amphipod species flock: fast speciation accompanied by frequent episodes of positive selection

Endemic species flocks inhabiting ancient lakes, oceanic islands and other long‐lived isolated habitats are often interpreted as adaptive radiations. Yet molecular evidence for directional selection during species flocks radiation is scarce. Using partial transcriptomes of 64 species of Lake Baikal (Siberia, Russia) endemic amphipods and two nonendemic outgroups, we report a revised phylogeny of this species flock and analyse evidence for positive selection within the endemic lineages. We confirm two independent invasions of amphipods into Baikal and demonstrate that several morphological features of Baikal amphipods, such as body armour and reduction in appendages and sensory organs, evolved in several lineages in parallel. Radiation of Baikal amphipods has been characterized by short phylogenetic branches and frequent episodes of positive selection which tended to be more frequent in the early phase of the second invasion of amphipods into Baikal when the most intensive diversification occurred. Notably, signatures of positive selection are frequent in genes encoding mitochondrial membrane proteins with electron transfer chain and ATP synthesis functionality. In particular, subunits of both the membrane and substrate‐level ATP synthases show evidence of positive selection in the plankton species Macrohectopus branickii, possibly indicating adaptation to active plankton lifestyle and to survival under conditions of low temperature and high hydrostatic pressures known to affect membranes functioning. Other functional categories represented among genes likely to be under positive selection include Ca‐binding muscle‐related proteins, possibly indicating adaptation to Ca‐deficient low mineralization Baikal waters.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/136009/1/mec13927.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/136009/2/mec13927_am.pd

Groundwater warming

International audienceOngoing climate warming is heating the subsurface. Projections suggest that by the end of the century millions of people will live in areas where groundwater exceeds the highest threshold for drinking water temperatures

Assessing heat tracing experiment data sets for direct forecast of temperature evolution in subsurface models: an example of well and geophysical monitoring data

Hydrogeological inverse modeling is used for integrating data and calibrating subsurface model parameters. On one hand, deterministic approaches are relatively fast but fail to catch the uncertainty related to the spatial distribution of model parameters. On the other hand, stochastic inverse modeling is time-consuming and sampling the full high-dimensional parameter space is generally impossible. Even then, the end result is not the inverted model itself, but the forecast built from such models. In this study, we investigate a prediction-focused approach (PFA) in order to derive a direct statistical relationship between data and forecast without explicitly calibrating any models to the data. To derive this relationship, we first sample a limited number of models from the prior distribution using geostatistical methods. For each model, we then apply two forward simulations: the first corresponds to the forward model of the data (past), the second corresponds to the forward model of the forecast (future). The relationship between observed data and forecast is generally highly non-linear, depending on the complexity of the prior distribution and the differences in the two forward operators. In order to derive a useful relationship, we first reduce the dimension of the data and the forecast through principal component analysis (PCA) related techniques in order to keep the most informative part of both sets. Then, we apply canonical correlation analysis (CCA) to establish a linear relationship between data and forecast in the reduced space components. If such a relationship exists, it is possible to directly sample the posterior distribution of the forecast with a multi-Gaussian framework. In this study, we apply this methodology to forecast the evolution with time of the distribution of temperature in a control panel in an alluvial aquifer. We simulate a heat tracing experiment monitored with both well logging probes and electrical resistivity tomography. We show (1) that the proposed method can be used to quantify the uncertainty on the forecast both spatially and temporally and (2) that spatially-distributed data acquired through geophysical methods help to significantly reduce the uncertainty of the posterior

Inversion des données de flux et de température en milieu hétérogène

La caractérisation de l'agencement spatial des propriétés hydrauliques est essentielle pour prédire les écoulements et le transport des solutés dans les milieux hétérogènes. Les méthodes de tomographie hydraulique, principalement développées pour estimer les propriétés des milieux poreux, n'ont qu'une faible résolution spatiale qui ne reflète pas la vraie hétérogénéité des distributions de fractures des milieux fracturés. Le principal objectif de cette thèse est de développer une nouvelle méthode d'inversion spécifique pour imager les propriétés hydrauliques et de transport des milieux fracturés à l'échelle du site. Pour atteindre ces objectifs, des expériences in situ ainsi qu'une nouvelle approche de modélisation inverse sont proposées, notamment en utilisant la température comme marqueur des écoulements. Nous proposons tout d'abord la tomographie d'écoulement basée sur des tests séquentiels de débimétrie entre puits, comme une nouvelle approche pour caractériser la connectivité des fractures ainsi que leur transmissivité. À partir de simulations numériques reproduisant des cas d'études synthétiques, nous montrons que l'approche par tomographie réduit significativement l'incertitude sur les paramètres estimés, et fournit une caractérisation détaillée du réseau de fracture sans requérir à l'utilisation d'obturateurs hydrauliques. Nous montrons ensuite comment les mesures de température peuvent être utilisées pour quantifier les écoulements dans les milieux fracturés. Le grand intérêt d'utiliser la température est d'obtenir facilement et de façon continue en puits des profils de température. En utilisant un modèle numérique d'écoulement et de transfert de chaleur à l'échelle du puits, une méthode d'inversion pour estimer les vitesses d'écoulement dans le puits à partir des données de température est proposée. Nous couplons ensuite les deux approches présentées précédemment dans une nouvelle approche expérimentale consistant en des enregistrements séquentiels de température dans un puits dans des conditions de pompage entre puits. L'application de cette approche de tomographie en température sur le site de Stang er Brune montre des résultats encourageants pour l'identification du réseau global de connectivité et des zones d'écoulement principales. Enfin, nous discutons de l'intérêt d'utiliser la chaleur comme traceur par rapport à l'utilisation de traceurs classiques. Nous montrons que réaliser des tests de traçage thermiques en milieu fracturé fournit des contraintes supplémentaires importantes sur les propriétés de transport du milieu.The accurate characterization of distribution of hydraulic properties and connectivity distribution is essential to predict flow and transport in fractured media. Classical approaches were developed for homogeneous aquifers and result in smooth tomograms that often do not match true heterogeneity distribution of fractured media. The main goal of this thesis is to develop new inverse approaches specifically for imaging hydraulic and transport properties in fractured media at the field-scale. To attain this objective new in situ measurement methods as well as new inverse modelling frameworks are proposed.We first propose flow tomography (i.e., sequential cross-borehole flowmeter tests) as a new approach for characterizing fracture connectivity and transmissivities. Based on a discrete fracture network approach, we present a general method to invert flow tomography data. From synthetic case studies, we show that the tomographic approach reduces significantly the uncertainty on the parameter estimation. Flow tomography approach provides detailed characterization on fracture networks without the necessity of using packers. We then study the contribution of temperature measurements for quantifying flow in fractured media. The advantage of using temperature data is that temperature profiles can be obtained more easily and continuously in space, compared to flowmeter profiles. Using a numerical model of flow and heat transfer at the borehole scale, a method to invert temperature measurements to derive borehole flow velocities was proposed. We then couple the two previously proposed approaches in a new experimental approach which we call temperature tomography. This experiment consists of sequential borehole temperature logging under cross-borehole flow conditions. The full inverse framework is then presented to interpret temperature tomography experiments. Application of the temperature tomography approach to Stang er Brune field site showed encouraging results for the identification of general connectivity patterns and transmissivities of the main flowpaths. Finally, we explore the interest of using push-pull thermal tracer tests. Through field experiments and numerical modelling, we demonstrate that conducting push-pull heat tracer tests provide important constraints on the effective transport behavior

Imaging of fractured rock properties from flow and heat transport : field experiments and inverse modelling

Mémoires de Géosciences-Rennes, n°145 - ISBN : 2-914375-87-5The accurate characterization of distribution of hydraulic properties and connectivity distribution is essential to predict flow and transport in fractured media. Classical approaches were developed for homogeneous aquifers and result in smooth tomograms that often do not match true heterogeneity distribution of fractured media. The main goal of this thesis is to develop new inverse approaches specifically for imaging hydraulic and transport properties in fractured media at the field-scale. To attain this objective new in situ measurement methods as well as new inverse modelling frameworks are proposed. We first propose flow tomography (i.e., sequential cross-borehole flowmeter tests) as a new approach for characterizing fracture connectivity and transmissivities. Based on a discrete fracture network approach, we present a general method to invert flow tomography data. From synthetic case studies, we show that the tomographic approach reduces significantly the uncertainty on the parameter estimation. Flow tomography approach provides detailed characterization on fracture networks without the necessity of using packers. We then study the contribution of temperature measurements for quantifying flow in fractured media. The advantage of using temperature data is that temperature profiles can be obtained more easily and continuously in space, compared to flowmeter profiles. Using a numerical model of flow and heat transfer at the borehole scale, a method to invert temperature measurements to derive borehole flow velocities was proposed. We then couple the two previously proposed approach in a new experimental approach which we call temperature tomography. This experiment consists of sequential borehole temperature logging under cross-borehole flow conditions. The full inverse framework is then presented to interpret temperature tomography experiments. Application of the temperature tomography approach to Stang er Brune field site showed encouraging results for the identification of general connectivity patterns and transmissivities of the main flowpaths. Finally, we explore the interest of using push-pull thermal tracer tests. Through field experiments and numerical modelling, we demonstrate that conducting push-pull heat tracer tests provide important constraints on the effective transport behavior.La caracterisation de l'agencement spatial des proprietes hydrauliques est essentielle pour predire les ecoulements et le transport des solutes dans les milieux heterogenes. Les methodes de tomographie hydraulique, principalement developpees pour estimer les proprietes des milieux poreux, n'ont qu'une faible r'esolution spatiale qui ne reflete pas la vraie heterogeneite des distributions de fractures des milieux fractures. Le principal objectif de cette these est de developper une nouvelle methode d'inversion specifique pour imager les proprietés hydrauliques et de transport des milieux fractures a l'echelle du site. Pour atteindre ces objectifs, des experiences in situ ainsi qu'une nouvelle approche de modelisation inverse sont proposees, notamment en utilisant la temperature comme marqueur des ecoulements. Nous proposons tout d'abord la tomographie d'ecoulement bas'ee sur des tests s'equentiels de debimetrie entre puits, comme une nouvelle approche pour caracteriser la connectivit'e des fractures ainsi que leur transmissivite. A partir de simulations numeriques reproduisant des cas d'etudes synth'etiques, nous montrons que l'approche par tomographie r'eduit significativement l'incertitude sur les parametres estimes, et fournit une caracterisation detaillee du reseau de fracture sans requerir a l'utilisation d'obturateurs hydrauliques. Nous montrons ensuite comment les mesures de temperature peuvent etre utilisees pour quantifier les ecoulements dans les milieux fractur'es. Le grand int'erˆet d'utiliser la temperature est d'obtenir facilement et de facon continue en puits des profils de temp'erature. En utilisant un mod'ele numerique d'ecoulement et de transfert de chaleur a l'echelle du puits, une methode d'inversion pour estimer les vitesses d'ecoulement dans le puits 'a partir des donnes de temperature est proposee. Nous couplons ensuite les deux approches presentees precedemment dans une nouvelle approche experimentale consistant en des enregistrements sequentiels de temperature dans un puits dans des conditions de pompage entre puits. L'application de cette approche de tomographie en temperature sur le site de Stanger Brune montre des resultats encourageants pour l'identification du reseau global de connectivite et des zones d'ecoulement principales. Enfin, nous discutons de l'interet d'utiliser la chaleur comme traceur par rapport 'a l'utilisation de traceurs classiques. Nous montrons que realiser des tests de tracage thermiques en milieu fracture fournit des contraintes supplementaires importantes sur les propri'et'es de transport du milieu