{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "aquifer_influx_notebook.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyM9i2qzN5v7KDtQxRv8hCRd",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
""
]
},
{
"cell_type": "code",
"metadata": {
"id": "RUlymOwRikPJ"
},
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd"
],
"execution_count": 1,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "bAU-_uavi29i",
"outputId": "3d5d9ba5-00c3-4420-c23b-8d55699b262f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 138
}
},
"source": [
"!git clone https://github.com/yohanesnuwara/pyreservoir"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"Cloning into 'pyreservoir'...\n",
"remote: Enumerating objects: 156, done.\u001b[K\n",
"remote: Counting objects: 100% (156/156), done.\u001b[K\n",
"remote: Compressing objects: 100% (148/148), done.\u001b[K\n",
"remote: Total 616 (delta 81), reused 0 (delta 0), pack-reused 460\u001b[K\n",
"Receiving objects: 100% (616/616), 1.41 MiB | 1.07 MiB/s, done.\n",
"Resolving deltas: 100% (323/323), done.\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "SBoHvGiXi7nd"
},
"source": [
"import sys\n",
"sys.path.append('/content/pyreservoir/matbal')\n",
"\n",
"from aquifer import schilthuis, veh, fetkovich"
],
"execution_count": 3,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "dIlCi3cGjlD_"
},
"source": [
"\"\"\"\"\"\"\"\"\"\"\"\n",
"INPUT\n",
"\"\"\"\"\"\"\"\"\"\"\"\n",
"\n",
"# reservoir rock and fluid properties\n",
"Nfoi = 48.75 # OOIP, in MMSTB (million STB)\n",
"Boi = 1.078 # Initial oil FVF, in RB/STB\n",
"Bob = 1.094 # Oil FVF at bubble-point pressure, in RB/STB\n",
"Bw = 1.02 # Water FVF, in RB/STB\n",
"swi = 0.48 # Initial water saturation\n",
"cf = 4E-06 # Formation compressibility, in psi^-1\n",
"cw = 3E-06 # Water compressibility, in psi^-1\n",
"poro = 0.177 # Porosity\n",
"perm = 432 # Permeability, in md\n",
"mu_w = 0.38 # Water viscosity, in cp\n",
"\n",
"# reservoir and aquifer dimension\n",
"h = 31.8 # reservoir thicknes, ft\n",
"vbulk = 73590 # reservoir bulk volume, acre ft\n",
"r_R = 5664.5 # Reservoir radius, in ft\n",
"r_aq = 275000 # Aquifer radius, in ft\n",
"h_aq = 71.73 # Aquifer thickness, in ft\n",
"theta = 360 # reservoir is cylindrical (full circle)\n",
"\n",
"data_path = '/content/pyreservoir/data/Production_Data_Moonie_Field.csv'\n",
"\n",
"# conversion\n",
"Nfoi = Nfoi * 1E+06 # convert from MMSTB to STB\n",
"\n",
"\"\"\"\"\"\"\"\"\"\"\"\n",
"CALCULATION\n",
"\"\"\"\"\"\"\"\"\"\"\"\n",
"\n",
"# load data\n",
"data = pd.read_csv(data_path)\n",
"\n",
"# convert time column to DateTime format (check: https://strftime.org/)\n",
"# time data in format: 01 January 1964\n",
"data['t'] = pd.to_datetime(data['t'], format='%d %B %Y')\n",
"\n",
"datetime = data['t'].values\n",
"pressure = data['p'].values"
],
"execution_count": 5,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "BOjmu-Zqj0In"
},
"source": [
"## Schilthuis Method"
]
},
{
"cell_type": "code",
"metadata": {
"id": "ftNmDhefj2Cy"
},
"source": [
"method1 = schilthuis()\n",
"\n",
"# Calculate water influx using Schilthuis function\n",
"Np = np.array(data['Np'])\n",
"Wp = np.array(data['Wp'])\n",
"Bo = np.array(data['Bo'])\n",
"\n",
"We_schilthuis = schilthuis.calculate_aquifer(method1, pressure, Bw, Wp, Np, Bo, Nfoi, cf, cw, swi, Boi)"
],
"execution_count": 6,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "RBGFRkujkAFv"
},
"source": [
"## Van Everdingen-Hurst Method"
]
},
{
"cell_type": "code",
"metadata": {
"id": "FxM1AUVKkD6-"
},
"source": [
"method2 = veh()\n",
"\n",
"# calculate aquifer constant\n",
"# there are 2 ways: 1. Using \"calculate_aquifer_constant\" functon, 2. Using MBAL\n",
"B = 3191.2 # Aquifer constant, from material balance\n",
"\n",
"# Calculate water influx using VEH method\n",
"We_veh = veh.calculate_aquifer(method2, datetime, pressure, cf, cw, perm, poro, mu_w, r_R, B)"
],
"execution_count": 7,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "cJOohJITkE3p"
},
"source": [
"## Fetkovich"
]
},
{
"cell_type": "code",
"metadata": {
"id": "NRIqrY_vkID1"
},
"source": [
"method3 = fetkovich()\n",
"\n",
"# calculate initial encroachable water, Wei\n",
"pi = data['p'].iloc[0]\n",
"ct = cf + cw\n",
"Wei = fetkovich.initial_encroachable_water(method3, pi, ct, r_R, r_aq, h_aq, poro, theta)\n",
"\n",
"# calculate productivity index\n",
"# flowing aquifer\n",
"J = fetkovich.productivity_index(method3, perm, h_aq, mu_w, r_aq, r_R, theta, flow='no flow')\n",
"\n",
"# Calculate water influx using Fetkovich function\n",
"We_fetkovich = fetkovich.calculate_aquifer(method3, datetime, pressure, Wei, J)\n"
],
"execution_count": 8,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "de9BUzPGkNZE"
},
"source": [
"## Plot result using all methods"
]
},
{
"cell_type": "code",
"metadata": {
"id": "bJ05fOl4kRUd",
"outputId": "d5e44c12-401a-4982-a12d-18d0600eec05",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 467
}
},
"source": [
"from pandas.plotting import register_matplotlib_converters\n",
"register_matplotlib_converters()\n",
"\n",
"plt.figure(figsize=(10,7))\n",
"\n",
"plt.plot(datetime, We_schilthuis, '.-', label='Schilthuis Method')\n",
"plt.plot(datetime, We_veh, '.-', label='Van Everdingen-Hurst Method')\n",
"plt.plot(datetime, We_fetkovich, '.-', label='Fetkovich Method')\n",
"plt.title('Aquifer Influx Result', size=20, pad=10)\n",
"plt.xlabel('Year'); plt.ylabel('$W_e$ (RB)')\n",
"plt.xlim(np.min(datetime), np.max(datetime))\n",
"plt.ylim(ymin=0)\n",
"plt.legend()\n",
"plt.show()"
],
"execution_count": 12,
"outputs": [
{
"output_type": "display_data",
"data": {
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\n",
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