tutorials/04.Wells.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wells\n",
    "\n",
    "A tutorial on Wells component.\n",
    "\n",
    "### Content\n",
    "* [Basic properties](#Basic-properties)\n",
    "* [Tree transformations](#Tree-transformations)\n",
    "* [Blocks evaluation](#Blocks-evaluation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic properties"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Required imports:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import numpy as np\n",
    "sys.path.append('..')\n",
    "\n",
    "from deepfield import Field, Wells"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load a model (this is the HDF5 model created in the first [tutorial](./01.Basics.ipynb)):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:Field:===== Field summary =====\n",
      "INFO:Field:AQUIFERS attributes: \n",
      "INFO:Field:GRID attributes: MAPAXES, ACTNUM, COORD, DIMENS, ZCORN\n",
      "INFO:Field:ROCK attributes: PERMX, PORO\n",
      "INFO:Field:STATES attributes: \n",
      "INFO:Field:TABLES attributes: DENSITY, PVDG, PVTO, PVTW, ROCK, SGOF, SWOF\n",
      "INFO:Field:WELLS attributes: WELSPECS, WELLTRACK, COMPDAT\n",
      "INFO:Field:=========================\n"
     ]
    }
   ],
   "source": [
    "model = Field(path='./model.hdf5').load()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wells can be quickly visualized using `show_wells` (hint: uncomment `%matplotlib notebook` to enable interactive mode):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# %matplotlib notebook\n",
    "model.wells.show_wells(figsize=(10, 10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Under the hood of the component, wells are organized in a tree. Root is a Field itself, nodes are groups of wells or well segments:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FIELD\n",
      "|-- INJE\n",
      "|   |-- MANI-C\n",
      "|   |   |-- C-4H\n",
      "|   |   |-- C-1H\n",
      "|   |   |-- C-2H\n",
      "|   |   |-- C-3H\n",
      "|   |   +-- C-4AH\n",
      "|   |-- MANI-F\n",
      "|   |   |-- F-1H\n",
      "|   |   |-- F-2H\n",
      "|   |   |-- F-3H\n",
      "|   |   +-- F-4H\n",
      "|   +-- WI-GSEG\n",
      "+-- PROD\n",
      "    |-- MANI-B2\n",
      "    |   |-- B-1H\n",
      "    |   |-- B-3H\n",
      "    |   |-- B-1AH\n",
      "    |   +-- B-1BH\n",
      "    |-- MANI-B1\n",
      "    |   |-- MANI-K1\n",
      "    |   +-- B1-DUMMY\n",
      "    |       |-- B-2H\n",
      "    |       |-- B-4H\n",
      "    |       |-- B-4AH\n",
      "    |       |-- B-4BH\n",
      "    |       +-- B-4DH\n",
      "    |-- MANI-D1\n",
      "    |   |-- D-1H\n",
      "    |   |-- D-3H\n",
      "    |   |-- D-3AH\n",
      "    |   |-- D-1CH\n",
      "    |   +-- D-3BH\n",
      "    |-- MANI-D2\n",
      "    |   |-- MANI-K2\n",
      "    |   |   +-- K-3H\n",
      "    |   +-- D2-DUMMY\n",
      "    |       |-- D-2H\n",
      "    |       |-- D-4H\n",
      "    |       +-- D-4AH\n",
      "    |-- MANI-E1\n",
      "    |   |-- E-3H\n",
      "    |   |-- E-1H\n",
      "    |   |-- E-3AH\n",
      "    |   |-- E-3BH\n",
      "    |   +-- E-3CH\n",
      "    +-- MANI-E2\n",
      "        |-- E-2H\n",
      "        |-- E-4H\n",
      "        |-- E-4AH\n",
      "        +-- E-2AH\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<deepfield.field.wells.Wells at 0x21832a7b438>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wells.render_tree()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nodes of tree can be accessed by names, e.g.:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<deepfield.field.wells.WellSegment at 0x21832b133c8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wells['F-1H']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Node's `name` is a short name, while `fullname` includes parents up to the root:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: F-1H\n",
      "Fullname: INJE/MANI-F/F-1H\n"
     ]
    }
   ],
   "source": [
    "print('Name:', model.wells['F-1H'].name)\n",
    "print('Fullname:', model.wells['F-1H'].fullname)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can iterate over tree to get all well segments (groups are excluded be default):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['C-4H', 'C-1H', 'C-2H', 'C-3H', 'C-4AH', 'F-1H', 'F-2H', 'F-3H',\n",
       "       'F-4H', 'B-1H', 'B-3H', 'B-1AH', 'B-1BH', 'B-2H', 'B-4H', 'B-4AH',\n",
       "       'B-4BH', 'B-4DH', 'D-1H', 'D-3H', 'D-3AH', 'D-1CH', 'D-3BH',\n",
       "       'K-3H', 'D-2H', 'D-4H', 'D-4AH', 'E-3H', 'E-1H', 'E-3AH', 'E-3BH',\n",
       "       'E-3CH', 'E-2H', 'E-4H', 'E-4AH', 'E-2AH'], dtype='<U5')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array([node.name for node in model.wells])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nodes have attributes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('WELSPECS', 'COMPDAT', 'WELLTRACK')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wells['F-1H'].attributes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tree transformations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can drop a node or a group:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FIELD\n",
      "+-- PROD\n",
      "    |-- MANI-B2\n",
      "    |   |-- B-1H\n",
      "    |   |-- B-3H\n",
      "    |   |-- B-1AH\n",
      "    |   +-- B-1BH\n",
      "    |-- MANI-B1\n",
      "    |   |-- MANI-K1\n",
      "    |   +-- B1-DUMMY\n",
      "    |       |-- B-2H\n",
      "    |       |-- B-4H\n",
      "    |       |-- B-4AH\n",
      "    |       |-- B-4BH\n",
      "    |       +-- B-4DH\n",
      "    |-- MANI-D1\n",
      "    |   |-- D-1H\n",
      "    |   |-- D-3H\n",
      "    |   |-- D-3AH\n",
      "    |   |-- D-1CH\n",
      "    |   +-- D-3BH\n",
      "    |-- MANI-D2\n",
      "    |   |-- MANI-K2\n",
      "    |   |   +-- K-3H\n",
      "    |   +-- D2-DUMMY\n",
      "    |       |-- D-2H\n",
      "    |       |-- D-4H\n",
      "    |       +-- D-4AH\n",
      "    |-- MANI-E1\n",
      "    |   |-- E-3H\n",
      "    |   |-- E-1H\n",
      "    |   |-- E-3AH\n",
      "    |   |-- E-3BH\n",
      "    |   +-- E-3CH\n",
      "    +-- MANI-E2\n",
      "        |-- E-2H\n",
      "        |-- E-4H\n",
      "        |-- E-4AH\n",
      "        +-- E-2AH\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<deepfield.field.wells.Wells at 0x21832a7b438>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wells.drop('INJE')\n",
    "model.wells.render_tree()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nodes can be grouped in a new group and attached to the root:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FIELD\n",
      "|-- PROD\n",
      "|   |-- MANI-B2\n",
      "|   |   |-- B-1H\n",
      "|   |   |-- B-3H\n",
      "|   |   |-- B-1AH\n",
      "|   |   +-- B-1BH\n",
      "|   |-- MANI-B1\n",
      "|   |   |-- MANI-K1\n",
      "|   |   +-- B1-DUMMY\n",
      "|   |       |-- B-2H\n",
      "|   |       |-- B-4H\n",
      "|   |       |-- B-4AH\n",
      "|   |       |-- B-4BH\n",
      "|   |       +-- B-4DH\n",
      "|   |-- MANI-D1\n",
      "|   |   |-- D-1H\n",
      "|   |   |-- D-3H\n",
      "|   |   |-- D-3AH\n",
      "|   |   |-- D-1CH\n",
      "|   |   +-- D-3BH\n",
      "|   +-- MANI-D2\n",
      "|       |-- MANI-K2\n",
      "|       |   +-- K-3H\n",
      "|       +-- D2-DUMMY\n",
      "|           |-- D-2H\n",
      "|           |-- D-4H\n",
      "|           +-- D-4AH\n",
      "+-- MANI-E\n",
      "    |-- MANI-E1\n",
      "    |   |-- E-3H\n",
      "    |   |-- E-1H\n",
      "    |   |-- E-3AH\n",
      "    |   |-- E-3BH\n",
      "    |   +-- E-3CH\n",
      "    +-- MANI-E2\n",
      "        |-- E-2H\n",
      "        |-- E-4H\n",
      "        |-- E-4AH\n",
      "        +-- E-2AH\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<deepfield.field.wells.Wells at 0x21832a7b438>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wells.group(['MANI-E1','MANI-E2'], 'MANI-E')\n",
    "model.wells.render_tree()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At each node we can start a new Wells with root poining to this node:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MANI-B2\n",
      "|-- B-1H\n",
      "|-- B-3H\n",
      "|-- B-1AH\n",
      "+-- B-1BH\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<deepfield.field.wells.Wells at 0x21834e9de80>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wells = Wells(model.wells['MANI-B2'])\n",
    "wells.render_tree()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Blocks evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quite often wells are given via trajectories (i.e. using the WELLTRACK keyword). In this case we need to define grid blocks intersected by the well. A ray casting algorithm implemented in the method `get_wellblocks` finds blocks intersected by wells trajectories:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<deepfield.field.wells.Wells at 0x21832a7b438>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wells.get_wellblocks(grid=model.grid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now attribute `blocks` shows block indices:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 9, 23,  0],\n",
       "       [ 9, 23,  1],\n",
       "       [ 8, 23,  1],\n",
       "       [ 8, 24,  1],\n",
       "       [ 8, 24,  2]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wells['B-1AH'].blocks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An additional attribute BLOCKS_INFO contains various block measurements:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hx</th>\n",
       "      <th>Hy</th>\n",
       "      <th>Hz</th>\n",
       "      <th>MD</th>\n",
       "      <th>PERF_RATIO</th>\n",
       "      <th>RAD</th>\n",
       "      <th>SKIN</th>\n",
       "      <th>MULT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.200534</td>\n",
       "      <td>0.378476</td>\n",
       "      <td>3.643227</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1524</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.795643</td>\n",
       "      <td>29.846402</td>\n",
       "      <td>6.329266</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1524</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20.576841</td>\n",
       "      <td>74.423228</td>\n",
       "      <td>1.684745</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1524</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9.529982</td>\n",
       "      <td>41.734127</td>\n",
       "      <td>5.570877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1524</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.271079</td>\n",
       "      <td>0.798696</td>\n",
       "      <td>6.892110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1524</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Hx         Hy        Hz  MD  PERF_RATIO     RAD  SKIN  MULT\n",
       "0   0.200534   0.378476  3.643227 NaN           0  0.1524     0     1\n",
       "1   9.795643  29.846402  6.329266 NaN           0  0.1524     0     1\n",
       "2  20.576841  74.423228  1.684745 NaN           0  0.1524     0     1\n",
       "3   9.529982  41.734127  5.570877 NaN           0  0.1524     0     1\n",
       "4   0.271079   0.798696  6.892110 NaN           0  0.1524     0     1"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wells['B-1AH'].blocks_info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Done! This tutorial is far from complete, e.g. we do not discuss implemented rates calculation methods as well as many other more specific preprocessing actions. We will partially cover them in the next notebooks."
   ]
  }
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