{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Nom :\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Matricule :\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# TP2 : Utilisation de l’EM-31\n", "\n", "\n", "### Instructions pour le devoir\n", "\n", "Ce laboratoire porte sur l’acquisition et le traitement des mesures avec l’EM-31. Il est divisé en deux parties : une section théorique dans laquelle les notions importantes d’interprétation des levés EM fréquentiels sont abordées, et une partie terrain dans laquelle vous devez acquérir les données avec l’EM-31 et interpréter les résultats en fonction des levés électriques.\n", " \n", "- Remplissez vos réponses dans les cellules indiquées. Les réponses peuvent prendre la forme d'un segment de code ou d'une réponses textuelle, ou les deux.\n", "- Bien commenter les cellules de code afin de décrire la démarche.\n", "- Assurez-vous que chaque cellule s'exécute et donne la réponse désirée avant de remettre votre notebook. Pour ce faire, il est recommandé d'exécuter Kernel -> Restart and Run All.\n", "- Vous devez remettre les fichiers du jupyter notebook complété (.ipynb), ainsi que sa version pdf (File->Download as -> pdf).\n", "- Ce travail doit être fait de façon individuelle, chaque personne doit remettre sa propre copie." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Importation\n", "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import matplotlib.patches as patches\n", "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Partie 1 : Questions théoriques\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Q1 : Calcul de la résistivité apparente (2 points)\n", "__A i)__   Tracez sur une même figure les fonctions de réponses cumulatives R pour les dispositifs\n", "HCP et VCP." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Répondre ici.\n", "\n", "zp = np.linspace(0,10,100)\n", "\n", "Rhcp = ... #Écrire la formule pour HCP\n", "Rvcp = ... #Écrire la formule pour VCP\n", "\n", "fig1, ax1 = plt.subplots(figsize=(10,5))\n", "ax1.plot(zp, Rhcp, label='$R_{hcp}$')\n", "ax1.plot(zp, Rvcp, label='$R_{vcp}$')\n", "ax1.set_xlabel('z\\' = z/r', fontsize=12)\n", "ax1.set_ylabel('R', fontsize=12)\n", "ax1.set_title('Réponses cumulatives R pour les dispositifs HCP et VCP')\n", "plt.legend( fontsize = 12)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__A ii)__ Comparer les profondeurs d’investigation des deux dispositifs." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse : \n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "__B)__   Pour chacun des modèles suivants, calculez la résistivité apparente que donnerait l’EM31 selon les configurations HCP et VCP. Notez que l’EM31 a une fréquence de 9,8 kHz et un espacement des bobines de 3,66 m. L’appareil est à une hauteur de 1 m du sol. \n", "\n", "Appelez vos variables rhoa_modeX_hcp où X est le numéro du modèle et le dernier élément est soit hcp et vcp." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
Modèle 1
Modèle 2
Modèle 3
\n", "\n", "\\begin{array}{|c|c|}\n", "\\hline \\large \\rho \\hspace{1mm} (\\Omega\\hspace{1mm}m) & \\large h \\hspace{1mm} (m) \\\\\\hline\n", " \\hspace{1cm} \\normalsize 500 \\hspace{1cm} & \\hspace{1cm} \\normalsize 15 \\hspace{1cm} \\\\\\hline\n", " \\normalsize 1 & \\normalsize \\\\\\hline\n", "\\end{array}\n", "\n", "\n", "       \n", "\n", "\n", "\\begin{array}{|c|c|}\n", "\\hline \\large \\rho \\hspace{1mm} (\\Omega\\hspace{1mm}m) & \\large h \\hspace{1mm} (m) \\\\\\hline\n", " \\hspace{1cm} \\normalsize 200 \\hspace{1cm} & \\hspace{1cm} \\normalsize 5 \\hspace{1cm} \\\\\\hline\n", "\\normalsize 50 & \\normalsize 3 \\\\\\hline\n", " \\normalsize 600 & \\\\\\hline\n", "\\end{array}\n", "\n", "\n", "       \n", "\n", "\n", "\\begin{array}{|c|c|}\n", "\\hline \\large \\rho \\hspace{1mm} (\\Omega\\hspace{1mm}m) & \\large h \\hspace{1mm} (m) \\\\\\hline\n", " \\hspace{1cm} \\normalsize 200 \\hspace{1cm} & \\hspace{1cm} \\normalsize 5 \\hspace{1cm} \\\\\\hline\n", " \\normalsize 50 & \\normalsize 3 \\\\\\hline\n", " \\normalsize 100 & \\\\\\hline\n", "\\end{array}\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Répondre ici.\n", "\n", "#HCP\n", "rhoa_mod1_hcp = ...\n", "rhoa_mod2_hcp = ...\n", "rhoa_mod3_hcp = ...\n", "\n", "#VCP\n", "rhoa_mod1_vcp = ...\n", "rhoa_mod2_vcp = ...\n", "rhoa_mod3_vcp = ...\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "print('Résistivité apparente HCP' + '\\n \\n'\n", " + 'Modèle 1: ' + str(rhoa_mod1_hcp) + ' \\u03A9m \\n'\n", " + 'Modèle 2: ' + str(rhoa_mod2_hcp) + ' \\u03A9m \\n'\n", " + 'Modèle 3: ' + str(rhoa_mod3_hcp) + ' \\u03A9m \\n \\n')\n", "\n", "print('Résistivité apparente VCP' + '\\n \\n'\n", " + 'Modèle 1: ' + str(rhoa_mod1_vcp) + ' \\u03A9m \\n'\n", " + 'Modèle 2: ' + str(rhoa_mod2_vcp) + ' \\u03A9m \\n'\n", " + 'Modèle 3: ' + str(rhoa_mod3_vcp) + ' \\u03A9m \\n \\n')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__C)__   Commentez vos résultats. En particulier, répondez aux questions suivantes:\n", "\n", "- Est-ce que la profondeur d'investigation donnée par le fabricant semble être respectée ? \n", "- Expliquez les différences entre les résistivités apparentes des dispositifs HCP et VCP. \n", "- Comment se comparent les résistivités apparentes obtenues aux résistivités vraies ? \n", "- Quel est l'effet de la troisième couche des modèles 2 et 3 ? Expliquez.\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse : \n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__D)__   Pour chacun des modèles, dire si la résistivité apparente donnée par l’appareil est valide,\n", "en justifiant numériquement. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Répondre ici.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse : \n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Q2 : Réponse en fréquence des configurations HCP et VCP (2 points)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__A)__   Tracez les composantes en phase et en quadrature de la réponse des configurations HCP et\n", "VCP pour un sol homogène. Celles-ci sont données par :" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "$$ \\normalsize \\left( \\frac{H_s}{H_p} \\right)_{HCP} = \\frac{1}{i\\alpha^2} \\Big[9 - (9 + 9\\sqrt{2i}\\alpha + 8i\\alpha^2 + (2i)^{3/2}\\alpha^3) e^{-\\sqrt{2i}\\alpha} \\Big] - 1 $$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "$$ \\normalsize \\left( \\frac{H_s}{H_p} \\right)_{VCP} = 2\\Big[1 - \\frac{3}{2i\\alpha^2} + (3 + 3\\sqrt{2i}\\alpha + 2i\\alpha^2) \\frac{e^{-\\sqrt{2i}\\alpha}}{2i\\alpha^2} \\Big] - 1 $$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "avec :\n", "\n", "$$ \\alpha = \\frac{r}{\\delta} = r \\sqrt{\\frac{\\sigma \\mu_0 \\omega}{2}} $$\n", "\n", "\n", "Identifiez sur ce graphique les limites résistives et inductives. Voici quelques fonctions utiles pour vous aider:\n", "\n", "- `np.real` et `np.imag` donnent les parties réelles et imaginaires \n", "- Le nombre imaginaire s'écrit comme `1j` en python\n", "- La fonction `ax.text(x, y, 'texte', fontsize=14)` permet d'ajouter un commentaire à l'axe `ax` à la position x, y\n", "- La fonction `rect = patches.Rectangle( (x,y), largeur, hauteur, facecolor='none')` (qui a été importée au début du notebook) permet d'ajouter des rectangles à une figure. Pour ajouter le rectangle `rect` ainsi créé à un axe, vous devez ensuite appeler `ax.add_patch(rect)`." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Répondre ici.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__B)__   __1.__ Tracez les composantes en phases et en quadratures des deux configurations en fonction de la conductivité, pour une fréquence de 9,8 kHz et un espacement des bobines de 3,66 m dans la limite résistive." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Répondre ici.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__2.__ Comment pouvez-vous identifier la limite résistive graphiquement ? " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse :\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__C)__   __1.__ Tracez le signal du champ primaire et du champ secondaire en fonction du temps pour les mêmes paramètres qu’en B), pour la configuration HCP et une conductivité de 0.05 S/m. Mettre sur le même graphique les champs primaires et secondaires et identifier le déphasage entre ces deux champs. Normalisez l’amplitude des deux signaux (amplitude=1).\n", "\n", "Pour ajouter une flèche à un graphique, utilisez la fonction `ax.annotate(\"\", xy=(x0, y0), xytext=(x1,y1), arrowprops=dict(facecolor='black', arrowstyle=\"<->\"))` où `x0`, `y0` et `x1`, `y1` sont les positions du début et de la fin de la flèche, respectivement." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "scrolled": true }, "outputs": [], "source": [ "#Répondre ici.\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "__2.__ Quel est le rapport des amplitudes des champs primaires et secondaires ? " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Répondre ici.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "__D)__   __1.__ À l’aide des formules vues en cours, tracez la conductivité apparente pour la configuration HCP en fonction de la conductivité pour un espacement de 3.66 m et 4 fréquences différentes : 100 Hz, 9,8 kHz, 80 kHz, et 2MHz. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Répondre ici.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__2.__ Discuter de la validité de la résistivité apparente pour ces différents cas." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse : \n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Q3 Variations le long d’un profil (1 points)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Soit le modèle du sol à trois boucles vu en classe, dont le rapport du champ primaire au\n", "champ secondaire est donné par :\n", "\n", "$$ \\large \\frac{\\epsilon_s}{\\epsilon_p} = -\\frac{M_{01} M_{12}}{M_{02} L} \\frac{i\\alpha}{1 + i\\alpha} $$\n", "\n", "Vous étudierez une configuration HCP au-dessus d’une plaque mince horizontale,\n", "assimilable à une boucle horizontale : " ] }, { "attachments": { "image.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": {}, "source": [ "![image.png](attachment:image.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "__A)__   On vous demande de tracer le profil selon x des composantes en phase et en quadrature pour 3 nombres d’induction : 0.01, 5, et 250. Normalisez en fonction de la surface des boucles et de l’inductance L, c'est-à-dire L=1 et S=1. La profondeur de la boucle est de 10 m et la distance entre les boucles est de 5 m. \n", "
\n", "
\n", "__Indice :__ Utilisez l’expression pour un champ dipolaire afin d’obtenir les inductances\n", "mutuelles entre les 3 boucles. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Répondre ici.\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "__B)__ Comment se manifeste la présence d’un très bon conducteur sur un profil avec le\n", "dispositif HCP ?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse :\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Partie 2 : Section expérimentale" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Introduction (Mise en contexte)\n", "\n", "

\n", "Suite aux mesures de tomographie de résistivité électrique sur l’ancienne piste de ski du Mont Royal, vous voulez confirmer votre interprétation. En particulier, vous aimeriez savoir si l’anomalie conductrice au centre du levé pourrait être causée par un objet métallique enfoui. Vous avez justement à portée de main un appareil EM-31. Vous proposez ainsi de procéder à un levé FEM sur le même tracé de la ligne de résistivité électrique.

\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Étape 1: Formulation du problème (0,5 points)\n", "\n", "Quels sont les objectifs du levé géophysique ?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse:\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Étape 2: Choix des propriétés géophysiques (0,5 points)\n", "\n", "Justifiez le choix d'une méthode sensible aux changements de résistivité électrique afin d'atteindre les objectifs du levé." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse:\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Étape 3: Choix de la méthode géophysique (0,5 points)\n", "\n", "Justiez votre choise d'un levé EM-31. En particulier, en quoi cette méthode permettra de lever les incertitudes du levé de tomographie électrique ?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse:\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Étape 4: Acquisition des données (1 points)\n", "\n", "Vous devez acquérir vos propres données sur le terrain. Remplissez la feuille de terrain fournie en annexe." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Étape 5 Traitement des données (1 points)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Dans cette section, vous aurez à traiter et interpréter les données de l’EM31 acquises sur le terrain en 2018. On vous demande ainsi de :" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Mettre en graphique les composantes en phase et la conductivité apparente des dispositifs VCP et HCP, pour les données de 2018. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "Data2018 = np.genfromtxt('data-EM31-ÉTÉ2018.csv', delimiter=\";\", skip_header=2)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Répondre ici" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Étape 6 Interprétation des résultats (1 points)\n", "\n", "Interprétez les anomalies observés sur le levé de EM-31, conjointement au levé de tomographie électrique. Discutez de pourquoi les levés HCP et VCP sont différents." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse : \n", "\n", "\n", "" ] }, { "attachments": { "Inversion_Normal.png": { "image/png": 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" } }, "cell_type": "markdown", "metadata": {}, "source": [ "![Inversion_Normal.png](attachment:Inversion_Normal.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Étape 7 Synthèse (0.5 points)\n", "\n", "Faites un retour sur les objectifs du levé. Ont-ils été atteint ? Quels sont les éléments qui demeurent encore incertain. Avez-vous des propositions pour des travaux futurs qui permettraient de valider vos résultats ?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Réponse : \n", "\n", "" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 4 }