Erwan Gloaguen

Erwan Gloaguen
Institut National de la Recherche Scientifique | INRS · Eau Terre Environnement Centre

PhD

About

170
Publications
49,355
Reads
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1,401
Citations
Citations since 2016
68 Research Items
865 Citations
2016201720182019202020212022050100150
2016201720182019202020212022050100150
2016201720182019202020212022050100150
2016201720182019202020212022050100150
Introduction
Erwan Gloaguen currently works at the national institute of scientific research. Erwan does research in data assimilation through ensemble methods, geostatistics, machine learning and AI . Their current project is 'Machine learning for resources quantification.'

Publications

Publications (170)
Article
Deep learning is a promising approach to velocity model building, for it has the potential of processing large seismic surveys with minimal resources. By leveraging large quantities of model-gather pairs, neural networks can automatically map data to the model space, directly providing a solution to the inverse problem. Such mapping requires big da...
Article
Airborne magnetic data are commonly processed and interpreted by geologists to produce preliminary geological maps of unexplored areas. Machine learning can partly fulfil this task rapidly and objectively as convolutional neural networks applied to image segmentation showed promising results in comparable applications. As these algorithms require a...
Article
Full-text available
Mineral prospectivity mapping (MPM), like other geoscience fields, is subject to a variety of uncertainties. When data about unfavorable sites to find deposits (i.e., drill intersections to barren rocks) is lacking in MPM using machine learning (ML) methods, the synthetic generation of negative datasets is required. As a result, techniques for sele...
Article
Full-text available
Salt-water intrusion (SWI) is a worldwide problem increasingly affecting coastal aquifers, exacerbated by climate changes and growing demand of fresh-water. Therefore, research on this topic using both physical and numerical modeling has been intensified, aiming to achieve better predictions of the salt-water wedge evolution and to design suitable...
Article
Sharp-interface seawater intrusion models present shorter run times than variable density codes, which makes them practical for regional, decision-support groundwater modeling. Although parameter estimation and uncertainty analyses are essential steps for model-based decision making, their implementation in seawater intrusion models has remained li...
Article
We introduce an algorithm to monitor seismic velocity changes associated to rockbursts in mines, through microseismic monitoring. Rockbursts are extreme events resulting from complex interaction between mining activities and geology, and represent a significant threat to mines. Throughout the past years, the use of passive seismic monitoring for mi...
Preprint
Full-text available
The spatial variability of snow plays a key role in snow water storage, spring runoff and hydraulic dam management. The snow survey network unequally distributed ability, to monitoring the spatial variability of the snow cover is limited. The spatial variability of the snow cover is explained by physiographic factors, which generate spatial structu...
Article
Geothermal resource quantification requires underground temperature and volume information, which can be challenging to accurately assess at the regional scale. The analytical solution for steady-state heat conduction with internal heat generation is often used to calculate temperature at depth, while geological models can provide volume informatio...
Article
Full-text available
Geothermal resource quantification requires underground temperature and volume information, which can be challenging to accurately assess at the regional scale. The analytical solution for steady-state heat conduction with internal heat generation is often used to calculate temperature at depth, while geological models can provide volume informatio...
Conference Paper
Rockbursts are extreme events resulting from complex interaction between mining activities and geology, and represent a big threat to mines. Throughout the past years, the use of passive seismic monitoring technics for mine safety and productivity have progressed significantly, aiming to understand and predict this hazard. In this work we propose a...
Article
Full-text available
Bayesian sequential simulation (BSS) is a geostastistical technique, which uses a secondary variable to guide the stochastic simulation of a primary variable. As such, BSS has proven significant promise for the integration of disparate hydrogeophysical data sets characterized by vastly differing spatial coverage and resolution of the primary and se...
Article
Full-text available
Open access until 02/02/2020 at https://authors.elsevier.com/a/1aE3XMMTPakSc ------ Electrical Resistivity Tomography (ERT) is one of the oldest geophysical techniques, and due to the advances of numerical techniques along with computational resources, it is widely used for geophysical prospecting. It has found various domains of application as it...
Poster
Full-text available
In order to understand groundwater flow and contaminant transport in the subsurface, it is important to characterize accurately its permeability. Hydrogeophysics, which involves the use of geophysical data to infer the hydraulic properties of the subsurface, is a relatively new geoscience field that is promising to improve hydrogeological character...
Article
An accurate knowledge of the subsurface thermal conductivity is essential to design geothermal heating and cooling systems, more specifically ground-coupled heat pumps. The subsurface thermal conductivity has a direct impact on the length of vertical ground heat exchangers needed to fulfill building energy needs. However, mapping the distribution o...
Article
Full-text available
Mining exploration increasingly relies on large, multivariate databases storing data ranging from drill core geochemical analysis to geophysical data or geological descriptions. Utilizing these large datasets to their full potential implies the use of multivariate statistical analysis such as machine learning. The Random Forest algorithm has proved...
Article
Full-text available
In Eastern Canada, the snow survey network is highly optimized at the operational scale. However, it is commonly accepted that the network is limited when it comes to studying the spatial variability of the snow water equivalent (SWE), which forms different spatial structures that are active at multiple scales—from local to regional. The main objec...
Article
Full-text available
Hydrogeophysics is increasingly used to understand groundwater flow and contaminant transport, essential basis for groundwater resources forecast, management, and remediation. It has proven its ability to improve the characterization of the hydraulic conductivity (K) when used along with hydrogeological knowledge. Geophysical tools and methods prov...
Article
Reinforcement corrosion is a major problem in the long-term management of reinforced concrete structures. With sustainability in perspective, knowledge of the corrosion rate (Vcor) makes it possible to estimate the kinetics of the corrosion phenomenon and helps in refining the maintenance strategy of such structures. Although in situ Vcor measureme...
Article
We propose a new numerical workflow based on stochastic data integration where we merge a conceptual geological model, drillhole geophysical and geological logs, and surface geophysical data to compute a unified numerical model of a volcanogenic massive sulphide (VMS) deposit. The first step of the workflow consists in building a three-dimensional...
Article
Potential impacts of shale gas development on shallow aquifers has raised concerns, especially regarding groundwater contamination. The intermediate zone separating shallow aquifers from shale gas reservoirs plays a critical role in aquifer vulnerability to fluid upflow, but the assessment of such vulnerability is challenging due to the general pau...
Article
Full-text available
Seawater intrusion in coastal aquifers is a worldwide problem exacerbated by aquifer overexploitation and climate changes. To limit the deterioration of water quality caused by saline intrusion, research studies are needed to identify and assess the performance of possible countermeasures, e.g., underground barriers. Within this context, numerical...
Article
Urban infrastructures built over karst settings may be at risk of collapse due to hydro-chemical erosion of underlying rock structures. In such settings, mapping cave networks and monitoring ground stability is important to assure civil safety and guide future infrastructure development decisions. However, no technique can directly and comprehensiv...
Article
Full-text available
Sequential Gaussian Simulation (SGS) is a stochastic simulation technique commonly employed for generating realizations of Gaussian random fields. Arguably, the main limitation of this technique is the high computational cost associated with determining the kriging weights. This problem is compounded by the fact that often many realizations are req...
Article
Full-text available
Whether it is deterministic, band-limited, or stochastic, seismic inversion can bear many names depending on the algorithm used to produce it. Broadly, inversion converts reflectivity data to physical properties of the earth, such as acoustic impedance (AI), the product of seismic velocity and bulk density. This is crucial because, while reflectivi...
Article
Full-text available
Reconstructing the variation of contaminant concentration with a limited number of soil samples is more or less the norm, even though it fails more often than not for problems of even moderate complexity. To overcome the limits inherent to discrete measurements, we propose to integrate soil sampling with continuous surface geophysical measurements...
Article
Full-text available
Sequential Gaussian Simulation is a commonly used geostatistical method for populating a grid with a Gaussian random field. The theoretical foundation of this method implies that all previously simulated nodes, referred to as neighbors, should be included in the kriging system of each newly simulated node. This would, however, require solving a lar...
Presentation
Full-text available
Improving Bayesian Sequential Simulation with an Adaptative Log-linear Pooling
Presentation
Full-text available
Constant path in SGS: Consequences and benefits
Article
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Accurate inference of reservoir properties such as porosity and permeability is crucial in reservoir characterization for the oil and gas exploration and production as well as for other geological applications. In most cases, direct measurements of those properties are done in wells that provide high vertical resolution but limited lateral coverage...
Article
Full-text available
Machine learning is becoming an appealing tool in various fields of earth sciences, especially in resources estimation. Six machine learning algorithms have been used to predict the presence of gold mineralization in drill core from geophysical logs acquired at the Lalor deposit, Manitoba, Canada. Results show that the integration of a set of rock...
Article
Water temperature has a significant influence on aquatic organisms, including stenotherm fish such as salmonids. It is thus of prime importance to build reliable tools to forecast water temperature. This study evaluated a statistical scheme to model average water temperature based on daily average air temperature and average discharge at the Sainte...
Conference Paper
Reconstructing the variation of contaminant concentration with punctual soil samples is more or less the norm, even though it fails more often than not for problems of even moderate complexity. To overcome the limits of punctual soil sampling, we propose to integrate soil sampling with continuous surface geophysical measurements in a geostatistical...
Article
Full-text available
Viscous attenuation can have a strong impact on seismic wave propagation, but it is rarely taken into account in full waveform inversion (FWI). When viscoelasticity is considered in time domain FWI, the displacement formulation of the wave equation is usually used instead of the popular velocity-stress formulation. However, inversion schemes rely o...
Article
Full-text available
Machine learning is becoming an appealing tool in various fields of earth sciences, especially in resources estimation. Six machine learning algorithms have been used to predict the presence of gold mineralization in drill core from geophysical logs acquired at the Lalor deposit, Manitoba, Canada. Results show that the integration of a set of rock...
Article
Bayesian inversion using maximum a posteriori estimator is a quantitative approach that has been successfully applied to the electrical resistivity tomography inverse problem. In most approaches, model covariance parameters are generally chosen as stationary and isotropic, which assumes a statistical homogeneity of the studied field. However, the s...
Article
Deployment of carbon capture and storage on a large scale poses many challenges. One is the availability of reservoirs with suitable characteristics (high porosity and permeability, matched large emitters, etc.). Such a challenge might lead to the selection of reservoirs with relatively low porosity. In those environments, the rock matrix is often...
Article
Full-text available
Deployment of carbon capture and storage on a large scale poses many challenges. One is the availability of reservoirs with suitable characteristics (high porosity and permeability, matched large emitters, etc.). Such a challenge might lead to the selection of reservoirs with relatively low porosity. In those environments, the rock matrix is often...
Article
Full-text available
We present a two-step stochastic inversion approach for monitoring the distribution of CO2 injected into deep saline aquifers for the typical scenario of one single injection well and a database comprising a common suite of well logs as well as time-lapse vertical seismic profiling (VSP) data. In the first step, we compute several sets of stochasti...
Article
Full-text available
Full Waveform Inversion (FWI) aims at recovering the elastic parameters of the Earth by matching recordings of the ground motion with the direct solution of the wave equation. Modeling the wave propagation for realistic scenarios is computationally intensive, which limits the applicability of FWI. The current hardware evolution brings increasing pa...
Presentation
Full-text available
Sequential Simulation Path Biases and how to live with them?
Article
Full-text available
Hydraulic tomography is the simultaneous analysis of several hydraulic tests performed in multiple isolated intervals in adjacent wells to image heterogeneous hydraulic property fields. In this study, we compare the resolutions associated with hydraulic tomography experiments carried out with slug tests and pumping tests for simple configurations w...
Article
Full-text available
In mineral exploration, traditional core logging is largely based on the visual inspection of drilled cores, a process which is often subjective and non-reproducible. However, a number of physical, chemical and mineralogical properties of rocks can now be measured at high spatial resolution on drill cores. The resulting large multiparameter databas...
Article
Full-text available
Hydraulic tomography is increasingly recognized as a characterization approach that can image path- ways or barriers to flow as well as their connectivity. In this study, we assess the performance of a tran- sient analysis of tomographic slug test head data in estimating heterogeneity in horizontal hydraulic conductivity (Kh), hydraulic conductivit...
Conference Paper
Full-text available
Bayesian sequential simulation (BSS) is a powerful geostatistical technique, which notably has shown significant potential for the assimilation of datasets that are diverse with regard to the spatial resolution and their relationship. However, these types of applications of BSS require a large number of realizations to adequately explore the soluti...
Poster
Full-text available
Bayesian sequential simulation (BSS) is a powerful geostatistical technique, which notably has shown significant potential for the assimilation of datasets that are diverse with regard to the spatial resolution and their relationship. However, these types of applications of BSS require a large number of realizations to adequately explore the soluti...
Conference Paper
We propose a new approach for integrating ground-based and heliborne time-domain electromagnetic data over the St-Lawrence Lowlands (Quebec, Canada) that allows recovering the resistivity model of the subsurface satisfying both collected data. The approach uses discrete and continuous geostatistical simulations and the gradual deformation method (G...
Article
Full-text available
Mass transport is known to depend on heterogeneity in geological formations. This entails geological bodies with complex geometries. The major interest of multiple-point simulation is its ability to reproduce such geological features through the use of a training image. The idea behind the training image is to describe a geological concept with the...
Conference Paper
It is well known that the statistical properties of resistivity within the Earth are generally non-stationary due to spatial variations of parameters that control the bulk resistivity of rocks, such as water resistivity, water content, porosity, temperature, etc. Hence, it may be advantageous to take into account the non-stationary nature the param...
Poster
Full-text available
The geostatistical integration of geophysical and hydrological data has significant potential for adequately characterizing heterogeneous aquifers. Although progress has been made in this regard, the proposed methods were so far mostly limited to the local scale. Recently, Ruggeri et al. (2013) proposed a two-step Bayesian sequential simulation (BS...
Article
Accurate inference of the interfaces between geological units showing different hydraulic properties is a key step for a reliable hydrogeological characterization of regional aquifers. In this study, we developed a workflow that combines multiple geological and geophysical data sets having different intrinsic resolution to map a stratigraphic inter...
Conference Paper
Full-text available
Hydraulic tomography is receiving increasing attention to characterize the heterogeneity of hydraulic properties at local scale. While recent advances have been promising, few efforts have been dedicated to understanding the impact of fundamental controls on hydraulic property resolution, such as the magnitude and anisotropy of hydraulic properties...
Conference Paper
Full-text available
In the Haldimand sector of Gaspé, Québec, Canada, a study was carried out to assess the potential risk on a shallow fractured rock aquifer system due to development of a tight sandstone petroleum reservoir. Petroleum exploration wells are being drilled in the forested core of a hilly 50 km2 peninsula by the sea (up to 200 m amsl) and where local re...