{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dadams/miniconda3/envs/spatial_env2/lib/python3.10/site-packages/pandas/io/sql.py:1725: SAWarning: Did not recognize type 'geometry' of column 'geometry'\n",
      "  self.meta.reflect(bind=self.con, only=[table_name], views=True)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sqlalchemy import create_engine\n",
    "import geopandas as gpd\n",
    "from dotenv import load_dotenv\n",
    "load_dotenv()\n",
    "\n",
    "import os\n",
    "\n",
    "# Database connection details from zshrc environment variables\n",
    "#  use .env file for local development\n",
    "\n",
    "\n",
    "db_name = 'colorado_spills'\n",
    "user = os.getenv('DB_USER')\n",
    "password = os.getenv('DB_PASSWORD')\n",
    "host = os.getenv('DB_HOST')\n",
    "port = os.getenv('DB_PORT')\n",
    "\n",
    "\n",
    "# Create an engine to connect to the PostgreSQL database\n",
    "engine = create_engine(f'postgresql+psycopg2://{user}:{password}@{host}:{port}/{db_name}')\n",
    "\n",
    "# Read in the spills_with_demographics_geog as spills\n",
    "spills = pd.read_sql_table('spills_with_demographics_geog', engine)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use longitude and latitude to create a GeoDataFrame from spills data\n",
    "spills['geometry'] = gpd.points_from_xy(spills['Longitude'], spills['Latitude'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "spills_gdf = gpd.GeoDataFrame(spills, crs='EPSG:4326') \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Ensure date columns are in datetime format\n",
    "spills_gdf['Date of Discovery'] = pd.to_datetime(spills_gdf['Date of Discovery'])\n",
    "spills_gdf['Initial Report Date'] = pd.to_datetime(spills_gdf['Initial Report Date'])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop 2024 data for date of discovery and initial report date\n",
    "spills_gdf = spills_gdf[spills_gdf['Date of Discovery'].dt.year < 2024]\n",
    "spills_gdf = spills_gdf[spills_gdf['Initial Report Date'].dt.year < 2024]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separate Historical vs. Recent Spills\n",
    "historical_spills = spills_gdf[spills_gdf['Spill Type'] == 'Historical']\n",
    "recent_spills = spills_gdf[spills_gdf['Spill Type'] == 'Recent']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              count       mean         std  min  25%  50%  75%     max\n",
      "Spill Type                                                            \n",
      "Historical   5312.0  21.490023  205.615913  0.0  0.0  1.0  2.0  9261.0\n",
      "Recent      10678.0   3.964506   46.997749  0.0  0.0  1.0  2.0  2232.0\n"
     ]
    }
   ],
   "source": [
    "# Compare Reporting Delay\n",
    "report_delay_summary = spills_gdf.groupby('Spill Type')['Report Delay (Days)'].describe()\n",
    "print(report_delay_summary)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Compare Spill Trends Over Time\n",
    "spills_by_year = spills_gdf.groupby(['Report Year', 'Spill Type']).size().unstack()\n",
    "spills_by_year.plot(kind='bar', figsize=(12,6), title='Spills by Year and Type')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Number of Spills')\n",
    "plt.legend(title='Spill Type')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spill Type                                  Historical     Recent  \\\n",
      "Operator                                                            \n",
      "NOBLE ENERGY INC                              1.901973   1.435644   \n",
      "KERR MCGEE OIL & GAS ONSHORE LP               6.485938  11.784062   \n",
      "PDC ENERGY INC                                3.483728   2.366071   \n",
      "CAERUS PICEANCE LLC                          10.162791   1.018735   \n",
      "BONANZA CREEK ENERGY OPERATING COMPANY LLC   91.725000   1.138648   \n",
      "CHEVRON USA INC                             251.076923   2.180723   \n",
      "KP KAUFFMAN COMPANY INC                      62.929412   9.054598   \n",
      "HIGHPOINT OPERATING CORPORATION               0.937500   0.941011   \n",
      "LARAMIE ENERGY LLC                           23.833333   1.713467   \n",
      "CRESTONE PEAK RESOURCES OPERATING LLC         1.804688   0.926724   \n",
      "\n",
      "Spill Type                                  Total Spills  \n",
      "Operator                                                  \n",
      "NOBLE ENERGY INC                                    2177  \n",
      "KERR MCGEE OIL & GAS ONSHORE LP                     2058  \n",
      "PDC ENERGY INC                                      1124  \n",
      "CAERUS PICEANCE LLC                                  983  \n",
      "BONANZA CREEK ENERGY OPERATING COMPANY LLC           617  \n",
      "CHEVRON USA INC                                      467  \n",
      "KP KAUFFMAN COMPANY INC                              433  \n",
      "HIGHPOINT OPERATING CORPORATION                      388  \n",
      "LARAMIE ENERGY LLC                                   373  \n",
      "CRESTONE PEAK RESOURCES OPERATING LLC                360  \n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Operator Performance Analysis\n",
    "operator_analysis = spills_gdf.groupby(['Operator', 'Spill Type'])['Report Delay (Days)'].mean().unstack()\n",
    "operator_analysis['Total Spills'] = spills_gdf.groupby('Operator').size()\n",
    "operator_analysis = operator_analysis.sort_values(by='Total Spills', ascending=False)\n",
    "print(operator_analysis.head(10))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spill Type                                  Historical  Recent  Total Spills\n",
      "Operator                                                                    \n",
      "NOBLE ENERGY INC                                1571.0   606.0        2177.0\n",
      "KERR MCGEE OIL & GAS ONSHORE LP                 1280.0   778.0        2058.0\n",
      "PDC ENERGY INC                                   676.0   448.0        1124.0\n",
      "CAERUS PICEANCE LLC                              129.0   854.0         983.0\n",
      "BONANZA CREEK ENERGY OPERATING COMPANY LLC        40.0   577.0         617.0\n",
      "CHEVRON USA INC                                   52.0   415.0         467.0\n",
      "KP KAUFFMAN COMPANY INC                           85.0   348.0         433.0\n",
      "HIGHPOINT OPERATING CORPORATION                   32.0   356.0         388.0\n",
      "LARAMIE ENERGY LLC                                24.0   349.0         373.0\n",
      "CRESTONE PEAK RESOURCES OPERATING LLC            128.0   232.0         360.0\n"
     ]
    }
   ],
   "source": [
    "# Operator comparison of historical vs recent spills\n",
    "operator_spill_type = spills_gdf.groupby(['Operator', 'Spill Type']).size().unstack()\n",
    "operator_spill_type['Total Spills'] = operator_spill_type.sum(axis=1)\n",
    "print(operator_spill_type.sort_values(by='Total Spills', ascending=False).head(10))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import geopandas as gpd\n",
    "\n",
    "# Ensure spills_gdf is already a GeoDataFrame with the necessary data\n",
    "# spills_gdf = gpd.GeoDataFrame(...)\n",
    "\n",
    "# Create a plot for the spatial distribution of spills\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Plot the GeoDataFrame with optimizations\n",
    "spills_gdf.plot(\n",
    "    ax=ax,\n",
    "    marker='o', \n",
    "    alpha=0.6,  # Adjust transparency for better visibility\n",
    "    column='Spill Type', \n",
    "    legend=True, \n",
    "    legend_kwds={'title': \"Spill Type\"},  # Correctly specify the legend title\n",
    "    cmap='viridis'  # Use a colormap for better visual distinction\n",
    ")\n",
    "\n",
    "# Set plot title and labels\n",
    "ax.set_title('Spatial Distribution of Historical vs. Recent Spills', fontsize=14)\n",
    "ax.set_xlabel('Longitude', fontsize=12)\n",
    "ax.set_ylabel('Latitude', fontsize=12)\n",
    "\n",
    "# Improve layout\n",
    "plt.tight_layout()\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 count       mean         std  min  25%  50%  75%     max\n",
      "Period                                                                   \n",
      "2020 and After  7177.0   6.924342  124.965839  0.0  0.0  1.0  1.0  9261.0\n",
      "Before 2020     8813.0  12.117554  124.705876  0.0  0.0  1.0  2.0  5681.0\n"
     ]
    }
   ],
   "source": [
    "# Add a column to indicate whether the spill occurred before or after 2020\n",
    "spills_gdf['Period'] = spills_gdf['Report Year'].apply(lambda x: 'Before 2020' if x < 2020 else '2020 and After')\n",
    "\n",
    "# Group by the new period column and calculate the mean response time\n",
    "response_time_summary = spills_gdf.groupby('Period')['Report Delay (Days)'].describe()\n",
    "print(response_time_summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-Statistic: 2.6161\n",
      "P-Value: 0.0089\n",
      "The difference in response time is statistically significant.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Report Delay (Days)'}, xlabel='Period'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# t-test for the difference in response time before and after 2020\n",
    "from scipy.stats import ttest_ind\n",
    "\n",
    "before_2020 = spills_gdf[spills_gdf['Period'] == 'Before 2020']['Report Delay (Days)']\n",
    "after_2020 = spills_gdf[spills_gdf['Period'] == '2020 and After']['Report Delay (Days)']\n",
    "\n",
    "t_stat, p_value = ttest_ind(before_2020, after_2020, equal_var=False)\n",
    "print(f'T-Statistic: {t_stat:.4f}')\n",
    "print(f'P-Value: {p_value:.4f}')\n",
    "\n",
    "# Check if the difference is statistically significant\n",
    "if p_value < 0.05:\n",
    "    print('The difference in response time is statistically significant.')\n",
    "else:\n",
    "    print('The difference in response time is not statistically significant.')\n",
    "    \n",
    "# Create a plot for the response time distribution before and after 2020\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Plot the response time distribution for each period\n",
    "spills_gdf.boxplot(column='Report Delay (Days)', by='Period', ax=ax)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Historical Spills Report Delay Summary:\n",
      "count    5312.000000\n",
      "mean       21.490023\n",
      "std       205.615913\n",
      "min         0.000000\n",
      "25%         0.000000\n",
      "50%         1.000000\n",
      "75%         2.000000\n",
      "max      9261.000000\n",
      "Name: Report Delay (Days), dtype: float64\n",
      "\n",
      "Recent Spills Report Delay Summary:\n",
      "count    10678.000000\n",
      "mean         3.964506\n",
      "std         46.997749\n",
      "min          0.000000\n",
      "25%          0.000000\n",
      "50%          1.000000\n",
      "75%          2.000000\n",
      "max       2232.000000\n",
      "Name: Report Delay (Days), dtype: float64\n",
      "\n",
      "Historical Spills Response Time Summary:\n",
      "                 count       mean         std  min  25%  50%  75%     max\n",
      "Period                                                                   \n",
      "2020 and After  2705.0  13.533087  200.352339  0.0  0.0  0.0  1.0  9261.0\n",
      "Before 2020     2607.0  29.746068  210.659491  0.0  0.0  1.0  2.0  5681.0\n",
      "\n",
      "Recent Spills Response Time Summary:\n",
      "                 count      mean        std  min  25%  50%  75%     max\n",
      "Period                                                                 \n",
      "2020 and After  4472.0  2.926878  27.302062  0.0  0.0  1.0  1.0  1329.0\n",
      "Before 2020     6206.0  4.712214  57.116100  0.0  1.0  1.0  2.0  2232.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dadams/miniconda3/envs/spatial_env2/lib/python3.10/site-packages/geopandas/geodataframe.py:1819: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/home/dadams/miniconda3/envs/spatial_env2/lib/python3.10/site-packages/geopandas/geodataframe.py:1819: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n"
     ]
    }
   ],
   "source": [
    "# Add a column to indicate whether the spill occurred before or after 2020 for historical and recent spills\n",
    "historical_spills['Period'] = historical_spills['Report Year'].apply(lambda x: 'Before 2020' if x < 2020 else '2020 and After')\n",
    "recent_spills['Period'] = recent_spills['Report Year'].apply(lambda x: 'Before 2020' if x < 2020 else '2020 and After')\n",
    "\n",
    "# Historical Spills Analysis\n",
    "historical_report_delay_summary = historical_spills['Report Delay (Days)'].describe()\n",
    "print(\"Historical Spills Report Delay Summary:\")\n",
    "print(historical_report_delay_summary)\n",
    "\n",
    "# Recent Spills Analysis\n",
    "recent_report_delay_summary = recent_spills['Report Delay (Days)'].describe()\n",
    "print(\"\\nRecent Spills Report Delay Summary:\")\n",
    "print(recent_report_delay_summary)\n",
    "\n",
    "# Historical Spills Response Time Summary\n",
    "historical_response_time_summary = historical_spills.groupby('Period')['Report Delay (Days)'].describe()\n",
    "print(\"\\nHistorical Spills Response Time Summary:\")\n",
    "print(historical_response_time_summary)\n",
    "\n",
    "# Recent Spills Response Time Summary\n",
    "recent_response_time_summary = recent_spills.groupby('Period')['Report Delay (Days)'].describe()\n",
    "print(\"\\nRecent Spills Response Time Summary:\")\n",
    "print(recent_response_time_summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Historical Spills T-Statistic: 2.8723\n",
      "Historical Spills P-Value: 0.0041\n",
      "The difference in response time for historical spills is statistically significant.\n",
      "\n",
      "Recent Spills T-Statistic: 2.1457\n",
      "Recent Spills P-Value: 0.0319\n",
      "The difference in response time for recent spills is statistically significant.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Report Delay (Days)'}, xlabel='Period'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# t-test for the difference in response time before and after 2020 for historical spills\n",
    "historical_before_2020 = historical_spills[historical_spills['Period'] == 'Before 2020']['Report Delay (Days)']\n",
    "historical_after_2020 = historical_spills[historical_spills['Period'] == '2020 and After']['Report Delay (Days)']\n",
    "\n",
    "t_stat, p_value = ttest_ind(historical_before_2020, historical_after_2020, equal_var=False)\n",
    "print(f'\\nHistorical Spills T-Statistic: {t_stat:.4f}')\n",
    "print(f'Historical Spills P-Value: {p_value:.4f}')\n",
    "\n",
    "# Check if the difference is statistically significant for historical spills\n",
    "if p_value < 0.05:\n",
    "    print('The difference in response time for historical spills is statistically significant.')\n",
    "else:\n",
    "    print('The difference in response time for historical spills is not statistically significant.')\n",
    "    \n",
    "# t-test for the difference in response time before and after 2020 for recent spills\n",
    "recent_before_2020 = recent_spills[recent_spills['Period'] == 'Before 2020']['Report Delay (Days)']\n",
    "recent_after_2020 = recent_spills[recent_spills['Period'] == '2020 and After']['Report Delay (Days)']\n",
    "\n",
    "t_stat, p_value = ttest_ind(recent_before_2020, recent_after_2020, equal_var=False)\n",
    "print(f'\\nRecent Spills T-Statistic: {t_stat:.4f}')\n",
    "print(f'Recent Spills P-Value: {p_value:.4f}')\n",
    "\n",
    "# Check if the difference is statistically significant for recent spills\n",
    "if p_value < 0.05:\n",
    "    print('The difference in response time for recent spills is statistically significant.')\n",
    "else:\n",
    "    print('The difference in response time for recent spills is not statistically significant.')\n",
    "    \n",
    "# Create a plot for the response time distribution before and after 2020 for historical and recent spills\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Plot the response time distribution for historical spills\n",
    "historical_spills.boxplot(column='Report Delay (Days)', by='Period', ax=ax, positions=[1, 2])\n",
    "\n",
    "# Plot the response time distribution for recent spills\n",
    "recent_spills.boxplot(column='Report Delay (Days)', by='Period', ax=ax, positions=[4, 5])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# list operator names\n",
    "operator_names = operator_analysis.index.tolist()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['NOBLE ENERGY INC', 'KERR MCGEE OIL & GAS ONSHORE LP', 'PDC ENERGY INC', 'CAERUS PICEANCE LLC', 'BONANZA CREEK ENERGY OPERATING COMPANY LLC', 'CHEVRON USA INC', 'KP KAUFFMAN COMPANY INC', 'HIGHPOINT OPERATING CORPORATION', 'LARAMIE ENERGY LLC', 'CRESTONE PEAK RESOURCES OPERATING LLC', 'PIONEER NATURAL RESOURCES USA INC', 'EXTRACTION OIL & GAS INC', 'TEP ROCKY MOUNTAIN LLC', 'WHITING OIL & GAS CORPORATION', 'FOUNDATION ENERGY MANAGEMENT LLC', 'BP AMERICA PRODUCTION COMPANY', 'KERR MCGEE GATHERING LLC', 'DCP OPERATING COMPANY LP', 'GREAT WESTERN OPERATING COMPANY LLC', 'WPX ENERGY ROCKY MOUNTAIN LLC', 'EVERGREEN NATURAL RESOURCES LLC', 'ENCANA OIL & GAS (USA) INC', 'SIMCOE LLC', 'DCP MIDSTREAM LP', 'XTO ENERGY INC', 'SANDRIDGE EXPLORATION & PRODUCTION LLC', 'BARRETT CORPORATION* BILL', 'AUGUSTUS ENERGY RESOURCES LLC', 'SRC ENERGY INC', 'PETROSHARE CORPORATION', 'SYNERGY RESOURCES CORPORATION', 'URSA OPERATING COMPANY LLC', 'FUNDARE RESOURCES OPERATING COMPANY LLC', 'KINDER MORGAN CO2 CO LP', 'EXTRACTION OIL & GAS LLC', 'K P KAUFFMAN COMPANY INC', 'GRAND RIVER GATHERING LLC', 'OWN RESOURCES OPERATING LLC', 'BAYSWATER EXPLORATION AND PRODUCTION LLC', 'VERDAD RESOURCES LLC', 'NGL WATER SOLUTIONS DJ LLC', 'UTAH GAS OP LTD DBA UTAH GAS CORP', 'EOG RESOURCES INC', 'CHEVRON PRODUCTION COMPANY', 'BAYSWATER EXPLORATION & PRODUCTION LLC', 'CITATION OIL & GAS CORP', 'WEXPRO COMPANY', '8 NORTH LLC', 'OXY USA WTP LP', 'OXY USA INC', 'PROSPECT ENERGY LLC', 'SUMMIT MIDSTREAM PARTNERS LLC', 'VANGUARD OPERATING LLC', 'WESTERN OPERATING COMPANY', 'NOBLE MIDSTREAM SERVICES LLC', 'WESCO OPERATING INC', 'COLORADO OIL & GAS CONSERVATION COMMISSION', 'BERRY PETROLEUM COMPANY LLC', 'D90 ENERGY LLC', 'COLORADO INTERSTATE GAS COMPANY LLC', 'MULL DRILLING COMPANY INC', 'GUNNISON ENERGY LLC', 'MAGPIE OPERATING INC', 'WARD & SON* ALFRED', 'BISON OIL & GAS II LLC', 'GRYNBERG* JACK DBA GRYNBERG PETROLEUM CO', 'BNN WESTERN LLC', 'PAINTED PEGASUS PETROLEUM LLC', 'HILCORP ENERGY COMPANY', 'BURLINGTON RESOURCES OIL & GAS LP', 'CARRIZO NIOBRARA LLC', 'TAPROOT ROCKIES MIDSTREAM LLC', 'PETROX RESOURCES INC', 'CIVITAS NORTH LLC', 'ANADARKO WATTENBERG OIL COMPLEX LLC', 'HRM RESOURCES II LLC', 'BARGATH LLC', 'DIAMOND OPERATING, INC.', 'SCOUT ENERGY MANAGEMENT LLC', 'GRAND MESA OPERATING CO', 'BLUE CHIP OIL INC', 'IMPETRO RESOURCES LLC', 'TIMBER CREEK OPERATING LLC', 'ARP PRODUCTION COMPANY LLC', 'PADCO LLC', 'CONOCO PHILLIPS COMPANY', 'CORAL PRODUCTION CORP', 'TOP OPERATING COMPANY', 'P O & G OPERATING LLC', 'PETERSON ENERGY OPERATING INC', 'PROVIDENCE OPERATING LLC DBA POCO OPERATING', 'ENERGY SEARCH CO ADBA ENERGY SEARCH CO INC', 'SG INTERESTS I LTD', 'AXIS EXPLORATION LLC', 'INVESTMENT EQUIPMENT LLC', 'SMITH ENERGY CORP', 'WARD PETROLEUM CORPORATION', 'FIFTH CREEK ENERGY OPERATING COMPANY LLC', 'FULCRUM ENERGY OPERATING LLC', 'BENCHMARK ENERGY LLC', 'RED HAWK PETROLEUM LLC', 'ENERPLUS RESOURCES (USA) CORPORATION', 'CAERUS WASHCO LLC', 'WIEPKING-FULLERTON ENERGY LLC', 'CUB CREEK ENERGY', 'TALLGRASS WATER WESTERN LLC', 'RENEGADE OIL & GAS COMPANY LLC', 'GADECO LLC', 'ANADARKO DJ GAS PROCESSING LLC', 'RED ROCK GATHERING COMPANY LLC', 'OMIMEX PETROLEUM INC', 'ENDURING RESOURCES LLC', 'KESTREL RESOURCES INC', 'AKA ENERGY GROUP LLC', 'SAMSON RESOURCES COMPANY', 'CM PRODUCTION LLC', 'CHEMCO INC', 'MARALEX RESOURCES INC', 'PETRO OPERATING COMPANY LLC', 'MAGPIE OPERATING, INC', 'NICKEL ROAD OPERATING LLC', 'SWN PRODUCTION COMPANY LLC', 'LINN OPERATING INC', 'ANSCHUTZ EXPLORATION CORP', 'CHACO ENERGY COMPANY', 'CATAMOUNT ENERGY PARTNERS LLC', 'MURFIN DRILLING COMPANY INC', 'BLACK HILLS PLATEAU PRODUCTION LLC', 'DESERT EAGLE OPERATING LLC', 'MUSTANG RESOURCES LLC', 'LORENTZ OIL & GAS LLC', 'KOCH EXPLORATION COMPANY, LLC', 'QEP FIELD SERVICES LLC', 'PICEANCE ENERGY LLC', 'COLTON LIMITED LIABILITY CO', 'MCWHINNEY HOLDING COMPANY LLLP', 'SCHNEIDER ENERGY SERVICES INC', 'LOGOS OPERATING LLC', 'ROCKY MOUNTAIN MIDSTREAM LLC', 'MONUMENT GLOBAL RESOURCES INC', 'HUNTER RIDGE ENERGY SERVICES LLC', 'MARATHON OIL COMPANY', 'POC-I LLC', 'NIGHTHAWK PRODUCTION LLC', 'CITY & COUNTY OF DENVER', 'LONGS PEAK RESOURCES LLC', 'LINDE INC', 'BLACK DIAMOND MINERALS LLC', 'BISON IV OPERATING LLC', 'HIGHLANDS NATURAL RESOURCES CORPORATION', 'PEAKVIEW OPERATING COMPANY LLC', 'ROCKY MTN NATURAL GAS LLC ADBA BLACK HILLS ENERGY', 'PETRO MEX RESOURCES', 'GRIZZLY OPERATING LLC', 'CRIMSON EXPLORATION OPERATING INC', 'CUB CREEK ENERGY LLC', 'EE3 LLC', 'MERRION OIL & GAS CORP', 'FRITZLER RESOURCES INC', 'QEP ENERGY COMPANY', 'GRAYHORSE OPERATING INC', 'MARALEX RESOURCES, INC', 'GRMR OIL & GAS LLC', 'ANDEAVOR FIELD SERVICES LLC', 'HARVEST FOUR CORNERS LLC', 'KTM OPERATING LLC', 'ROSEWOOD RESOURCES INC', 'PHOENIX RESOURCES LLC', 'RITCHIE EXPLORATION INC', 'ROBERT L BAYLESS PRODUCER LLC', 'WAPITI OPERATING LLC', 'WHITING OIL AND GAS CORPORATION', 'MORNINGSTAR OPERATING LLC', 'YOUNG GAS STORAGE COMPANY LTD', 'MENDELL FINISTERRE II LLC', 'MARALEX DISPOSAL LLC', 'KT RESOURCES LLC', 'SMITH OIL PROPERTIES INC', 'BAYLESS PRODUCER, LLC* ROBERT L', 'CHEVRON PIPELINE COMPANY', 'CCRP OPERATING INC', 'TEXAS TEA OF COLORADO LLC DBA TEXAS TEA LLC', 'HYNDREX RESOURCES', 'JAVERNICK OIL', 'ROBIDOUX RANCH LLC', 'COACHMAN ENERGY OPERATING COMPANY LLC', 'BEREN CORPORATION', 'LINN OPERATING LLC', 'TRUE OIL LLC', 'CRUMLEY* JACK', 'DUGAN PRODUCTION CORP', 'CWC OIL AND GAS LLC', 'MARKUS PRODUCTION, INC', 'DIAMOND OPERATING INC', 'WINDSOR ENERGY GROUP LLC', 'ST CROIX OPERATING INC', 'SANTA FE NATURAL RESOURCES INC', 'RIO MESA RESOURCES INC', 'TOM FENNO PRODUCTION LLC', 'FAULCONER INC* VERNON E', 'EXPEDITION WATER SOLUTIONS COLORADO LLC', 'REP PROCESSING LLC', 'DIVERSIFIED ENERGY LLC', 'ENTEK GRB LLC', 'TEXACO EXPLORATION AND PRODUCTION INC', 'EDGE ENERGY II LLC', 'STRACHAN EXPLORATION INC', 'ENERGY SEARCH COMPANY', 'ENERGY INVESTMENTS INC', 'RWL ENTERPRISES', 'GILBERT-STEWART OPERATING LLC', 'SCHMID PROPERTIES INC', 'SANDLIN OIL CORP', 'MONAHAN GAS & OIL INC', 'CHEVRON MIDCONTINENT LP', 'BISON EXPLORATION LLC', 'ALAMOSA DRILLING INC', 'MCCARTNEY ENGINEERING LLC', 'BARRETT RESOURCES CORP', 'OGRIS OPERATING LLC', 'MACHII-ROSS PETROLEUM CO', 'BEEMAN OIL & GAS INC', 'KUENZLER & FLORA RESERVE COMPANY', '4-H OPERATING CORPORATION', 'GULFPORT ENERGY CORPORATION', 'PLUG NICKEL OIL COMPANY INC', 'UPLAND EXPLORATION LLC', 'VISION ENERGY LLC', 'PETRON DEVELOPMENT COMPANY', 'CAPTIVA ENERGY PARTNERS LLC', 'HIGHPOINT ENERGY LLC', 'CENTRAL OPERATING INC', 'BARNES PETROLEUM CORPORATION', 'TINDALL OPERATING COMPANY', 'ARKOMA OPERATIONS LLC', 'WOODARD* SANDRA K', 'WOLVERINE RESOURCES LLC', 'SOVEREIGN OPERATING COMPANY LLC', 'BOPCO LP', 'SUMMIT MIDSTREAM NIOBRARA LLC', 'TIMKA RESOURCES LTD', 'BISON OIL & GAS LLC', 'CONFLUENCE DJ LLC', 'VERDAD OIL & GAS CORPORATION', 'WELLINGTON OPERATING COMPANY', 'COMPLETE ENERGY SERVICES INC', 'ENDEAVOUR OPERATING CORPORATION', 'SOUTHWESTERN ENERGY PRODUCTION COMPANY', 'GENESIS GAS & OIL COLORADO LLC', 'MEYER OIL COMPANY', 'NATURAL RESOURCE GROUP INC', 'MDS ENERGY DEVELOPMENT LLC', 'MCELVAIN ENERGY INC', \"O'BRIEN ENERGY RESOURCES CORP\", 'OVERLAND RESOURCES LLC', 'LYSTER OIL COMPANY INC', 'KINDER MORGAN CO2 COMPANY LLC', 'INSPIRE OIL & GAS INC', 'INDUSTRIAL GAS SERVICES INC', 'HRM RESOURCES LLC', 'DAN A HUGHES COMPANY LP', 'PINTAIL PETROLEUM LTD', 'GMT EXPLORATION COMPANY LLC', 'PICEANCE ENERGY LLC DBA LARAMIE ENERGY COMPANY', 'FOUR STAR OIL & GAS COMPANY', 'MORNINGSTAR PARTNERS LP', 'EWS 4 DJ BASIN LLC', 'ENTERPRISE PRODUCTS OPERATING LLC', 'SCHUTZ* RICHARD E', 'ROCKY MOUNTAIN NATURAL GAS LLC', 'ENERGY & CARBON MANAGEMENT COMMISSION', 'EAST CHEYENNE GAS STORAGE LLC', 'SHAWNEE OIL DEVELOPMENT CO INC', 'MESA ENERGY PARTNERS LLC', 'STELBAR OIL CORP INC', 'SEELEY OIL COMPANY LLC', 'WILLIAMS FOUR CORNERS LLC', 'NORTHSTAR GAS COMPANY INC', 'BAYLESS PRODUCER LLC* ROBERT L', 'PCR OPERATING LLC', 'CONDOR ENERGY TECHNOLOGY LLC', 'LASSO OIL & GAS LLC', 'RED MESA HOLDINGS/O&G LLC', 'KOCH EXPLORATION COMPANY LLC', 'KGH OPERATING COMPANY', 'BP ENERGY INC', 'CHOLLA PETROLEUM INC', 'REYNOLDS* NOEL', 'HARBURG* RUDOLPH W', 'PRONGHORN OPERATING LLC', '31 OPERATING']\n"
     ]
    }
   ],
   "source": [
    "print (operator_names)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "spatial_env2",
   "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": "3.10.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}