curve_smooth.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filtrar una curva con el filtro savgol (Savitzky-Golay) en scipy, y plotearla junto a la curva filtrada (MATPLOTLIB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lasio\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from scipy.signal import savgol_filter\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>PEF</th>\n",
       "      <th>RDEP</th>\n",
       "      <th>RHOB</th>\n",
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       "      <td>NaN</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>20494 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           BS  CALI  DCAL  DEPTH_MD  DRHO  DTC  DTS  \\\n",
       "DEPT                                                  \n",
       "110.000   NaN   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "110.152   NaN   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "110.304   NaN   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "110.456   NaN   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "110.608   NaN   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "...       ...   ...   ...       ...   ...  ...  ...   \n",
       "3224.328  8.5   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "3224.480  8.5   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "3224.632  8.5   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "3224.784  8.5   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "3224.936  8.5   NaN   NaN       NaN   NaN  NaN  NaN   \n",
       "\n",
       "          FORCE_2020_LITHOFACIES_CONFIDENCE  FORCE_2020_LITHOFACIES_LITHOLOGY  \\\n",
       "DEPT                                                                            \n",
       "110.000                                 NaN                               NaN   \n",
       "110.152                                 NaN                               NaN   \n",
       "110.304                                 NaN                               NaN   \n",
       "110.456                                 NaN                               NaN   \n",
       "110.608                                 NaN                               NaN   \n",
       "...                                     ...                               ...   \n",
       "3224.328                                NaN                               NaN   \n",
       "3224.480                                NaN                               NaN   \n",
       "3224.632                                NaN                               NaN   \n",
       "3224.784                                NaN                               NaN   \n",
       "3224.936                                NaN                               NaN   \n",
       "\n",
       "          GR  NPHI  PEF  RDEP  RHOB  RMED        ROP       ROPA  X_LOC  Y_LOC  \\\n",
       "DEPT                                                                            \n",
       "110.000  NaN   NaN  NaN   NaN   NaN   NaN        NaN  77.342522    NaN    NaN   \n",
       "110.152  NaN   NaN  NaN   NaN   NaN   NaN        NaN  79.720444    NaN    NaN   \n",
       "110.304  NaN   NaN  NaN   NaN   NaN   NaN        NaN  82.098358    NaN    NaN   \n",
       "110.456  NaN   NaN  NaN   NaN   NaN   NaN        NaN  84.476280    NaN    NaN   \n",
       "110.608  NaN   NaN  NaN   NaN   NaN   NaN        NaN  86.854202    NaN    NaN   \n",
       "...       ..   ...  ...   ...   ...   ...        ...        ...    ...    ...   \n",
       "3224.328 NaN   NaN  NaN   NaN   NaN   NaN  31.749815  39.958431    NaN    NaN   \n",
       "3224.480 NaN   NaN  NaN   NaN   NaN   NaN  28.458361  37.414505    NaN    NaN   \n",
       "3224.632 NaN   NaN  NaN   NaN   NaN   NaN  31.287321  34.870579    NaN    NaN   \n",
       "3224.784 NaN   NaN  NaN   NaN   NaN   NaN  37.743542  32.326649    NaN    NaN   \n",
       "3224.936 NaN   NaN  NaN   NaN   NaN   NaN        NaN  29.782722    NaN    NaN   \n",
       "\n",
       "          Z_LOC  \n",
       "DEPT             \n",
       "110.000     NaN  \n",
       "110.152     NaN  \n",
       "110.304     NaN  \n",
       "110.456     NaN  \n",
       "110.608     NaN  \n",
       "...         ...  \n",
       "3224.328    NaN  \n",
       "3224.480    NaN  \n",
       "3224.632    NaN  \n",
       "3224.784    NaN  \n",
       "3224.936    NaN  \n",
       "\n",
       "[20494 rows x 20 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "las = lasio.read(r\"D:\\Pablo\\Python\\working_files\\Equinor\\15_9-23.las\")\n",
    "well = las.df()\n",
    "well = well.reindex(sorted(well.columns), axis=1)  # Ordenamos las columnas alfabéticamente\n",
    "pd.set_option('display.max_columns', 200)          # Muestra las primeras 200 columnas\n",
    "well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 3600x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################ VALORES DE ENTRADA ######################################################################\n",
    "\n",
    "### CURVAS\n",
    "crv_original = 'GR'\n",
    "crv_filtered = 'GR_F'\n",
    "# Escala curvas\n",
    "crv_izq = 0     # a veces ploteamos en sentido inverso (por ej: porosidades)\n",
    "crv_der = 300   # por eso es preferible definir izq-der en lugar de min-max \n",
    "\n",
    "### FILTRO\n",
    "savgol_wl = 355  # Cantidad de muestras para filtrar (debe ser impar)\n",
    "savgol_pol = 3   # orden del polinomio\n",
    "\n",
    "\n",
    "## TOP-BOT plot\n",
    "top_plot = las.well.STRT.value  # Valor default TOP del plot (modificar si es necesario)\n",
    "bot_plot = las.well.STOP.value  # Valor default BOTTOM del plot (modificar si es necesario)\n",
    "\n",
    "\n",
    "############################ CODIGO ######################################################################\n",
    "\n",
    "#### Filtrar curva\n",
    "\n",
    "well2=pd.DataFrame(well[well[crv_original].notnull()][crv_original])             # Tuve que crear otro df porque hay Nan en GR\n",
    "well2[crv_filtered] = savgol_filter(well2[crv_original], savgol_wl, savgol_pol)  # (Para aplicar el filtro tengo que sacar \n",
    "well[crv_filtered]=well2[crv_filtered]                                           # los valores nulos del calculo)\n",
    "\n",
    "\n",
    "\n",
    "### PLOT #####\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(50,10))#Set up the plot axes\n",
    "   \n",
    "ax1 = plt.subplot2grid((1,6), (0,0), rowspan=1, colspan = 1) \n",
    "ax2 = ax1.twiny()\n",
    "\n",
    "ax1.plot(well[crv_original], well.index, color = \"#53B923\", linewidth = 1)\n",
    "ax1.set_ylim(bot_plot, top_plot)\n",
    "ax1.set_xlabel(f\"Curva original ({crv_original})\")\n",
    "ax1.xaxis.label.set_color(\"green\")\n",
    "ax1.set_xlim(crv_izq, crv_der)\n",
    "ax1.tick_params(axis='x', colors=\"green\")\n",
    "ax1.spines[\"top\"].set_position((\"axes\", 1.0))\n",
    "ax1.spines[\"top\"].set_edgecolor(\"green\")\n",
    "ax1.title.set_color('green')\n",
    "ax1.xaxis.set_ticks_position(\"top\")\n",
    "ax1.xaxis.set_label_position(\"top\")\n",
    "\n",
    "\n",
    "ax2.plot(well[crv_filtered], well.index, color = \"black\", linewidth = 2)\n",
    "ax2.set_xlabel(f\"Curva filtrada ({crv_filtered})\")\n",
    "ax2.xaxis.label.set_color(\"black\")\n",
    "ax2.set_xlim(crv_izq, crv_der)\n",
    "ax2.tick_params(axis='x', colors=\"black\")\n",
    "ax2.spines[\"top\"].set_position((\"axes\", 1.08))\n",
    "ax2.spines[\"top\"].set_edgecolor(\"black\")\n",
    "ax2.title.set_color('black')\n",
    "ax2.xaxis.set_ticks_position(\"top\")\n",
    "ax2.xaxis.set_label_position(\"top\")\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}