{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test line-sink comparison with row of wells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "import timflow.transient as tft\n",
    "\n",
    "plt.rcParams[\"font.size\"] = 8.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ml = tft.ModelMaq(tmin=0.01, tmax=10)\n",
    "ls1 = tft.LineSink(ml, -1, 0, 1, 0, tsandQ=[(0, 10)])\n",
    "ml.solve()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ml2 = tft.ModelMaq(tmin=0.01, tmax=10)\n",
    "x = np.arange(-0.9, 1, 0.2)\n",
    "nwells = len(x)\n",
    "Qtot = 10\n",
    "for i in range(nwells):\n",
    "    tft.Well(ml2, x[i], 0, tsandQ=[(0, Qtot / nwells)])\n",
    "ml2.solve()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = np.logspace(-2, 1, 100)\n",
    "h1a = ml.head(0.5, 1, t)\n",
    "h1b = ml.head(0.5, 10, t)\n",
    "h2a = ml2.head(0.5, 1, t)\n",
    "h2b = ml2.head(0.5, 10, t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(4, 3))\n",
    "plt.semilogx(t, h1a[0], \"b\", label=\"line-sink\")\n",
    "plt.semilogx(t, h2a[0], \"r--\", label=\"wells\")\n",
    "plt.semilogx(t, h1b[0], \"b\")\n",
    "plt.semilogx(t, h2b[0], \"r--\")\n",
    "plt.xlabel(\"time\")\n",
    "plt.ylabel(\"head\")\n",
    "plt.legend()\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ml.plots.contour([-2, 2, -2, 2], [40, 40], t=5, figsize=(4, 4), labels=False)\n",
    "ml2.plots.contour([-2, 2, -2, 2], [40, 40], t=5, figsize=(4, 4), labels=False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "xg1 = np.linspace(-2, 2, 100)\n",
    "ygtop = np.linspace(1e-6, 2, 50)\n",
    "ygbot = np.linspace(-2, -1e-6, 50)\n",
    "htop = ml.headgrid(xg1, ygtop, t=5)\n",
    "hbot = ml2.headgrid(xg1, ygbot, t=5)\n",
    "print(f\"min and max head: {np.min(htop)}, {np.max(htop)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(4, 4))\n",
    "plt.subplot(aspect=1)\n",
    "plt.contour(xg1, ygtop, htop[0, 0], np.arange(-10, 0, 0.5), colors=\"C0\", linestyles=\"-\")\n",
    "plt.contour(xg1, ygbot, hbot[0, 0], np.arange(-10, 0, 0.5), colors=\"C0\", linestyles=\"-\")\n",
    "plt.title(\"Top half: line-sink, bottom-half: row of wells\");"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}