{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### x lines of Python\n", "\n", "# Reading and writing LAS files\n", "\n", "This notebook goes with [the Agile blog post](https://agilescientific.com/blog/2017/10/23/x-lines-of-python-load-curves-from-las) of 23 October.\n", "\n", "Set up a `conda` environment with:\n", "\n", " conda create -n welly python=3.6 matplotlib=2.0 scipy pandas\n", "\n", "You'll need `welly` in your environment:\n", "\n", " conda install tqdm # Should happen automatically but doesn't\n", " pip install welly\n", " \n", "This will also install the latest versions of `striplog` and `lasio`." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import welly" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "../data/P-129.LAS\r\n" ] } ], "source": [ "ls ../data/*.LAS" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1. Load the LAS file with `lasio`" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import lasio\n", "\n", "l = lasio.read('../data/P-129.LAS') # Line 1." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That's it! But the object itself doesn't tell us much — it's really just a container:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2. Look at the WELL section of the header" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[HeaderItem(mnemonic=STRT, unit=M, value=1.0668, descr=START DEPTH, original_mnemonic=STRT),\n", " HeaderItem(mnemonic=STOP, unit=M, value=1939.1376, descr=STOP DEPTH, original_mnemonic=STOP),\n", " HeaderItem(mnemonic=STEP, unit=M, value=0.1524, descr=STEP, original_mnemonic=STEP),\n", " HeaderItem(mnemonic=NULL, unit=, value=-999.25, descr=NULL VALUE, original_mnemonic=NULL),\n", " HeaderItem(mnemonic=COMP, unit=, value=Elmworth Energy Corporation, descr=COMPANY, original_mnemonic=COMP),\n", " HeaderItem(mnemonic=WELL, unit=, value=Kennetcook #2, descr=WELL, original_mnemonic=WELL),\n", " HeaderItem(mnemonic=FLD, unit=, value=Windsor Block, descr=FIELD, original_mnemonic=FLD),\n", " HeaderItem(mnemonic=LOC, unit=, value=Lat = 45* 12' 34.237\" N, descr=LOCATION, original_mnemonic=LOC),\n", " HeaderItem(mnemonic=PROV, unit=, value=Nova Scotia, descr=PROVINCE, original_mnemonic=PROV),\n", " HeaderItem(mnemonic=UWI, unit=, value=Long = 63* 45'24.460 W, descr=UNIQUE WELL ID, original_mnemonic=UWI),\n", " HeaderItem(mnemonic=LIC, unit=, value=P-129, descr=LICENSE NUMBER, original_mnemonic=LIC),\n", " HeaderItem(mnemonic=CTRY, unit=, value=CA, descr=COUNTRY (WWW code), original_mnemonic=CTRY),\n", " HeaderItem(mnemonic=DATE, unit=, value=10-Oct-2007, descr=LOG DATE {DD-MMM-YYYY}, original_mnemonic=DATE),\n", " HeaderItem(mnemonic=SRVC, unit=, value=Schlumberger, descr=SERVICE COMPANY, original_mnemonic=SRVC),\n", " HeaderItem(mnemonic=LATI, unit=DEG, value=, descr=LATITUDE, original_mnemonic=LATI),\n", " HeaderItem(mnemonic=LONG, unit=DEG, value=, descr=LONGITUDE, original_mnemonic=LONG),\n", " HeaderItem(mnemonic=GDAT, unit=, value=, descr=GeoDetic Datum, original_mnemonic=GDAT),\n", " HeaderItem(mnemonic=SECT, unit=, value=45.20 Deg N, descr=Section, original_mnemonic=SECT),\n", " HeaderItem(mnemonic=RANG, unit=, value=PD 176, descr=Range, original_mnemonic=RANG),\n", " HeaderItem(mnemonic=TOWN, unit=, value=63.75 Deg W, descr=Township, original_mnemonic=TOWN)]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l.header['Well'] # Line 2." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can go in and find the KB if you know what to look for:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "HeaderItem(mnemonic=EKB, unit=M, value=94.8, descr=Elevation of Kelly Bushing, original_mnemonic=EKB)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l.header['Parameter']['EKB']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3. Look at the curve data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The curves are all present one big NumPy array:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[ 1.06680000e+00, 2.44381547e+00, 4.39128494e+00, ...,\n", " 2.39014983e+00, 4.66986504e+01, 1.20125000e+02],\n", " [ 1.21920000e+00, 2.44381547e+00, 4.39128494e+00, ...,\n", " 2.39014983e+00, 4.66986504e+01, 1.20125000e+02],\n", " [ 1.37160000e+00, 2.44381547e+00, 4.39128494e+00, ...,\n", " 2.39014983e+00, 4.66986504e+01, 1.20125000e+02],\n", " ..., \n", " [ 1.93883280e+03, 2.42026806e+00, nan, ...,\n", " nan, 9.22462235e+01, 7.30000000e+01],\n", " [ 1.93898520e+03, 2.42026806e+00, nan, ...,\n", " nan, 9.22462235e+01, 7.39375000e+01],\n", " [ 1.93913760e+03, 2.42026806e+00, nan, ...,\n", " nan, 9.22462235e+01, 7.42500000e+01]])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l.data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Or we can go after a single curve object:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CurveItem(mnemonic=GR, unit=gAPI, value=, descr=Gamma-Ray, original_mnemonic=GR, data.shape=(12718,))" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l.curves.GR # Line 3." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And there's a shortcut to its data:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 46.69865036, 46.69865036, 46.69865036, ..., 92.24622345,\n", " 92.24622345, 92.24622345])" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l['GR'] # Line 4." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "...so it's easy to make a plot against depth:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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LzB17fk7M0egxFqzVTjcGTpCQJqILHjgPbZvlpx0X9PKPK3wTopiQz9c835tR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\n7Ex+5MFbPVaYwa0mgmOjCg5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8yOcKTGJit0EVujKsjxyasO4JuZqMCdcohYSzGQOnGxBW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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "plt.figure(figsize=(15,3))\n", "plt.plot(l['DEPT'], l['GR'])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4. Inspect the curves as a `pandas` dataframe" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CALIHCALPEFDTDTSDPHI_SANDPHI_LIMDPHI_DOLNPHI_SANNPHI_LIM...RLA1RLA2RXOZRXO_HRLTRT_HRLTRM_HRLTDRHORHOBGRSP
DEPT
1.06682.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
1.21922.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
1.37162.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
1.52402.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
1.67642.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
\n", "

5 rows × 24 columns

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" ], "text/plain": [ " CALI HCAL PEF DT DTS DPHI_SAN DPHI_LIM DPHI_DOL \\\n", "DEPT \n", "1.0668 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "1.2192 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "1.3716 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "1.5240 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "1.6764 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "\n", " NPHI_SAN NPHI_LIM ... RLA1 RLA2 RXOZ RXO_HRLT \\\n", "DEPT ... \n", "1.0668 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "1.2192 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "1.3716 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "1.5240 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "1.6764 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "\n", " RT_HRLT RM_HRLT DRHO RHOB GR SP \n", "DEPT \n", "1.0668 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "1.2192 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "1.3716 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "1.5240 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "1.6764 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "\n", "[5 rows x 24 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l.df().head() # Line 5." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 5. Load the LAS file with `welly` " ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from welly import Well\n", "\n", "w = Well.from_las('../data/P-129.LAS') # Line 6." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`welly` Wells know how to display some basics:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Kennetcook #2
Long = 63* 45'24.460 W
td1935.0
crsCRS({})
locationLat = 45* 12' 34.237\" N
countryCA
provinceNova Scotia
section45.20 Deg N
rangePD 176
township63.75 Deg W
kb94.8
gl90.3
tdd1935.0
tdl1935.0
dataCALI, DPHI_DOL, DPHI_LIM, DPHI_SAN, DRHO, DT, DTS, GR, HCAL, NPHI_DOL, NPHI_LIM, NPHI_SAN, PEF, RHOB, RLA1, RLA2, RLA3, RLA4, RLA5, RM_HRLT, RT_HRLT, RXOZ, RXO_HRLT, SP
" ], "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And the `Well` object also has `lasio`'s access to a pandas DataFrame:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CALIHCALPEFDTDTSDPHI_SANDPHI_LIMDPHI_DOLNPHI_SANNPHI_LIM...RLA1RLA2RXOZRXO_HRLTRT_HRLTRM_HRLTDRHORHOBGRSP
DEPT
1.06682.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
1.21922.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
1.37162.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
1.52402.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
1.67642.4438154.3912853.5864NaNNaN0.157480.198440.25910.46510.33647...0.03210.027940.057610.025580.025580.055010.1942332.3901546.69865120.125
\n", "

5 rows × 24 columns

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" ], "text/plain": [ " CALI HCAL PEF DT DTS DPHI_SAN DPHI_LIM DPHI_DOL \\\n", "DEPT \n", "1.0668 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "1.2192 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "1.3716 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "1.5240 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "1.6764 2.443815 4.391285 3.5864 NaN NaN 0.15748 0.19844 0.2591 \n", "\n", " NPHI_SAN NPHI_LIM ... RLA1 RLA2 RXOZ RXO_HRLT \\\n", "DEPT ... \n", "1.0668 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "1.2192 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "1.3716 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "1.5240 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "1.6764 0.4651 0.33647 ... 0.0321 0.02794 0.05761 0.02558 \n", "\n", " RT_HRLT RM_HRLT DRHO RHOB GR SP \n", "DEPT \n", "1.0668 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "1.2192 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "1.3716 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "1.5240 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "1.6764 0.02558 0.05501 0.194233 2.39015 46.69865 120.125 \n", "\n", "[5 rows x 24 columns]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w.df().head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 6. Look at `welly`'s Curve object\n", "\n", "Like the `Well`, a `Curve` object can report a bit about itself:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
GR [gAPI]
1.0668 : 1939.2900 : 0.1524
run1
null-999.25
service_companySchlumberger
date10-Oct-2007
code
descriptionGamma-Ray
Stats
samples (NaNs)12718 (0)
min mean max3.89 78.986 267.94
DepthValue
1.066846.6987
1.219246.6987
1.371646.6987
1938.832892.2462
1938.985292.2462
1939.137692.2462
" ], "text/plain": [ "Curve([ 46.69865036, 46.69865036, 46.69865036, ..., 92.24622345,\n", " 92.24622345, 92.24622345])" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gr = w.data['GR'] # Line 7.\n", "gr" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "One important thing about Curves is that each one knows its own depths — they are stored as a property called `basis`. (It's not actually stored, but computed on demand from the start depth, the sample interval (which must be constant for the whole curve) and the number of samples in the object.)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 1.06680000e+00, 1.21920000e+00, 1.37160000e+00, ...,\n", " 1.93883280e+03, 1.93898520e+03, 1.93913760e+03])" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gr.basis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 7. Plot part of a curve\n", "\n", "We'll grab the interval from 300 m to 1000 m and plot it." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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5MIwDQ9mWztn0pS22tPbxwIbWQQvrf3DliYddqD9Rtk0WyoGhyOTXH9dE/Zw4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\nN2nsSHDVf7/J7pbeQwxffeI0Qk7UhaKgn5DPQ8jfFYkhlLX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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gr.to_basis(start=300, stop=1000).plot() # Line 8." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 8. Smooth a curve\n", "\n", "Curve objects are, fundamentally, NumPy arrays. But they have some extra tricks. We've already seen `Curve.plot()`. \n", "\n", "Using the `Curve.smooth()` method, we can easily smooth a curve, eg by 15 m (passing `samples=True` would smooth by 15 samples):" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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yEn9OPP1hTTQDubxyQznnBiKJ3FYbTPZYtYioXrsJr82E16Ftm7w2ljZ58hkG\nvHYT5Q7TKXcUkplx/rLjgBLhMFKZLMGYNnU29ArG09p2qCyq1U6D0ST+WJrBSBJ/LIXLYsgJxpzP\nM+e1m5hb49RyzOXE5LWbiypedDEwZUV4aCDCH97qYtNhP9s7g/ijSeK5jE9uqzH/cg3b99pNTK+w\nYzcKvDYjlW573ldQ5TgZOVNWhD9bd4iHXjqATsAd583gmsV1zK1xntLQRSkmMSxmpqwIv3B1K393\n1jRe2dfPy3sHuPK7L3LurApuP2c6y5rKTnmuVjF6hLYArnhZvny53LBhw7jfxx9N8psN7azd3sPW\njgAem4l5tZp3SWutk9ZaN41eK0KIoq4Ji8k2IcQGKeWKk16nRPhOslnJIV+UHV1BdnQF2d6pbUPx\nNHNrnTSWWWnwWJhW6WROjZPWWlfROJ4qEY4DhRDh8RiMJNnZHWJ/b5DDgzEOD8Z5aksX9713ETes\nKI7ATaUowinbJhwJZXYTZ7Z4cZoEgViKw4NRzp1VweXzawptWkmjRHgKSCl55LU2nnizk03tfsps\nRi6eW8nHLp7F+bMrJ0WSw0KiRHgKJNJZPv+7rfnj/nCSJzd3s27/ID98YT+VTjNVTjNVTm36rN5j\nZXqFnSqnuai8VYoVJcJTwGLUc/CbV+WP4/EEoUSaQELmHQqGnEN394RoH4xyoD9KIJak0mGm2m2h\n2mmh2mWmymWh2qXtV7ssVDm1GZRi6dgUAiXCEaDTCdxWI5VuEzOrHMe9LpHO0BvURNoTTNATjNMd\njLOvN0zPUFkgTjydyU/zlTtMVOSn+cy5Y20acOicxThxDqcTgRLhOGI26Gn02mj02k54XTyV0Txp\ncg4Qwx0e9vaGjzg/hBP0R5IYdQKvw4THOjxNrOYQUWE3UOOyUFfmoNyhnZ9IL+mRoERYBFiMeuo8\nVupOIXSvlJJwIo1vWGAlX0QLfr6/L8JvNgzSPhg76j2/uXM1K6Z5x8v8UaNEWGRIKekNJegOxPHH\nNJH5oyn8Of/DIzmKU/n9UDyNzaSnzGai2mnmrBYvc2rdzMytIy6GuNQnQomwAGSzklA8jT+m+Rfu\n7QmzozvIzq4QO7uDCCGo91jx2DTvnaHs7I1eGwutRjy5yF75iF4WQ36YqJgGq08VJcIxJpxI85cd\nPXQF4vQE4/kabKjm8keTBONp7CZ9PlTcjCoH82pcXDS3irk1Liqd5kJ/jQlFifA0kVLiiyTpCycY\njGXpDsTV1P6UAAAgAElEQVRpH4zSPhijfTDGawd9LG3ysKK5jHqPlYX17lyNdiQ24fCaS6FEeFr8\nx5928d3n9h5VZjXqmVfrZEG9m5tWNXL/TUvGJfXWZEaJ8DS47ezp1JdZ6fBFCMbTRFPZfDi4DYcG\neWZrN75IkgqHmcWNbubkHq2VuQVKQwE17Wb1sw9H/RqnQZndxN+c0XTCxn8mK+kYjPHm4UH29UXY\n0RXkhdDwMMIJALw205GFTnYTZTYTNW4LtW4LtW4rtW5tZsVkmPyPbSXCMUavEzSVa7nijoWUklhu\ncHowkmIgt2hqIJykJxhnS0eALn+M7kCcvnACj81EndtCjdvC9AoHixrcNHlt+R6y3VT6QTSVCCcY\nIQQ2kwGbyUDDSWIWZrLa3HRnIEaXP86+vjC/3dhBpz+W72kn0tkjsyZ2Ex6rgTKbkXKHBYNO4LWb\nuGlVU1HPmigRFjF6naAmVwvKRi2/STiRJhzX4gsG4ym6/HF29YTY0RVkZ3eIvlDiHZ9z8bzqk04d\nFhIlwgkkkwvnoY0bao/joTFEbR1zKi+wcDxNKJEmnDhSBuC0GI+KaV3pMFPlMnPOzAquX9ZAuU1P\nldNMQ7mzZDpApWFlkSClJJ7K0heIE4iniKQYlnFpKMvSkfjTQxmZNOGlCCfSOMyG/Hhhme3o/Ca1\nbssRkeVC+jotRwR3Ko/UI52m0vnTlo6lY0gynT0qykIglsxHV/APL48e2R8q1wlwWYx4rLmBZ+uR\nbEoui5EKh5npFQ7tOBehf2jqTUVeODaTSoR9oQSHBiLacEg4SX8oMSzT0hE3qXgqc1SEhaE5WrdV\nE1e9x0prrQtPTjjDz1uM+pKcny1mJo0IO/0xLvvOC8yuduTiwWiDxHNqnJztqMgNFJuoUJmWio5J\nI8KvP72DqxbW8m/vXVRoUxSnyaQZjm/02khls4U2QzECJo0Iz51ZkR/IVZQWk0aEzbmk0md98zmS\naVUjlhKTRoT1His/vHk5AE9s6iiwNYrTYdKIEOD5XX1c2lrNe5Y1FNoUxWkwaUTYH07w6OttXL+s\nQQ0IlxiTYojm357ZyQPP7+PdS+q4ZF5ppE1QHKHka8J4KsMDz+9DJ+Deq1vV2o0SpKRrwkxWct8z\nuzizxcuv7lhdaHMUI6RkRZjJSv7mh+sw6AXf/9tlhTZHMQpKVoT+aJINbYPs+9qVKvxaiVOSDaiu\nQIwbH3yVW1dPUwKcBJSkCH/+6iGWN5fx5WvmF9oUxRhQkiI06fVUOKZWqIzJzIhFKISYI4TYNOwV\nFEJ8XAjxZSFEx7DyK4e957NCiL1CiF1CiMtHeu8D/WFc1pJtzirexoj/klLKXcASACGEHugAfgfc\nBnxHSvnt4dcLIVqBG4H5QB3wZyHEbCnlaeWlfHpLF28cGuSjF88aqemKImOsqpOLgX1SykMn8Fi+\nFviVlDIBHBBC7AVWAutO9MFSyrw7PcBjr7dx44p6GlzGo8onkkLd91QoZtuOx1i1CW8Efjns+CNC\niLeEED8WQgwt8a4HDg+7pj1X9g6EEHcIId4QQrzR399/1LnZ1Q4e+L8DLPvaX7ntpxt4YnMXxZ4Q\nSHFiRp3RSQhhAjqB+VLKHiFENdAPSOCrQK2U8nYhxPeBdVLKn+fe9xDwtJTy8RN9/vEyOvmjSdbt\nG+AHz+8jKyU3rWzi2iV1OC3jnxixmBc6FZNtE5nRaQ2wUUrZAzC0zRnx38AfcoftwPDcWw1o4h0R\nHpuJNQtruXx+DS/u7edXr7Vx3zM7uW5pPdcsqWNxg0fNI5cIY/FXuolhj2IhRO2wc9cBQ1longRu\nFEKYhRDTgVnAa6O9uU4nOH92JQ98YDnPfuI8PDYTn/vtVuZ98Rl+/uqh0X68YgIYlQiFEDbgUuC3\nw4rvE0JsEUK8BVwIfAJASrkNeAzYDjwD3H26PeOTUeu2YjLoSGaypDKStdt7Tv4mRcEZ1eNYShkF\nyt9WdvMJrv8a8LXR3PNEZLOSxze2c6A/AsD/7e5DSqnWGBc5k6rRpNMJ/vJP5+OyGGiptPPgzcuV\nAEuASTPtsK8vzBef2Mqu7hBN5TZ++Q9nTkhPWTF6JoUIs1nJz189hNNs5A8fPZdql1nVgCVEyYrw\nV6+18ZnfbqGhzEpvKEGV08zDt51BjdtSaNMUp0nJinCoovv2+xazuMGD1VS84XAVJ6ZkOyb7+yOU\n203Uui1KgCVOydaEf7OikVRa8t7/t45PXjqb6RV2msptVDstytu6xChZEbZUOvjiu1pZPaOcP27p\n4tcb2mnzRQnEUtR7rFQ5c1nWnVpM5yqnJV9W5VIxCouJkhXhEJe2VnNpa3X+OJbM0OGP0pPLuN4b\nTNATTLClI0hPME5fKEFvME5Gyrwwyx2mfAqGoTjSQ6F+nWZt67Bo8aOLORVDqVLyInw7VpOemVVO\nZlY5T3hdJJGmNyfIoQTWg9EkvcEEO7tDBGNa5PxQLnL+UHB0gcBh0eMwazGpteDmQ4LV9ocE6zBr\ncayHHw8FRlehSo4w6UR4qtjNBqabDUzPhZQ7VeKpDIOhGKFEikRGl4/arwlVS/fgiyQ5NBDVjnMC\nDudEHIqniSTTWI36Ywt2KGK/5fjiHoqtPVm8hKasCEeKxain3GGi3GEasc9eNiuJJIfXsOljCrZ9\nMPqOc6F4Op9RwG7Sa3nxcrnxymwm3BY9HpuRSpc1V2bMX1OswlUiLAA6ncjVckZq3SP7jGxWEoyn\nck0JLTGPL5qkPxhjMJqiw+/HF00yOHQ+ekS4bpsRh9mI02zAbtZT6TRT67YOy0RqorXOhW2CcqEo\nEZYoOp3Ak0vEM5wTeVYPCdefS+wzlDmqN5SgKxBjW2eANl+Ul/cOALBympfH7hz/GD9KhFOI4wn3\niv98gZ3doXdcf8MZje8oGw+UCBV8/JLZPL+rF6Neh8mg442DPja3B/jWszuxGvVctaj25B8yCoqv\nlaqYcK5YUMPXr1vIRy+aSb3HSiieZl6ti55ggrsf2cihgci43l/VhFOcw74o597313eUf+26BXis\nJiqdZprLT28Y63RRIpzimA06ppXbsBj1+KNabzuZyfL1p3ag0wnqPVZ+/HdnUOexjpsNSoRTjFgy\nkxuyOZJn+YPntjAQ1qY39/SEeOPQIJGktgZtb2+YdGZ8gwsoEZY4vkiSvlCCgUiCwUiK3mCUwUiS\nQDyDL5rCF0ngi6TwR5P4IkkkDMuzrA1ke2wmyu3a2OCFcyq512Wh3qONG04ESoQlRCqTpS+UoCcY\npycY50B/lH97ZicAK6d78dpMeKx6ymwmmsvtLG0yabMlNhNldk14NpO+6LyHlAiLACkloUQ6n+Q7\nGEvlZkNSbDg0yK6eIN2BBIFYEq/dRLXLknuZ+eA50/n8lfPyPpTFFAbkVFEinEAiiTRLv7KWZObY\nufeGpsyGEnyX2Uy0VNq5ZXUzNW4LFQ7zpPS+USKcQMwGHTeubGRrR4BMVpKRknRGks5KgjGtkxBP\nZYgmM8TTWVKZLKlslsFIMu+k4LUb8dhMVDjM1Lot2M2l/ycs/W9QQhj0Or5y7YLjnh96LA9GkgxE\nkvjCyXxP1hdJcdgXxRfRerV9YW2+N57SatWf3b6S82ZXTtRXGVOUCIsIIQQuixGXxXhKA8S+SJJv\n/2kXj6xv45Yfv8aWL1+GuQTnwJQIS5iHXznII+vb8scfeOg1yqwGymxGyh0WyuwmXBYDyYzkppWN\nE+aadboUp1WKU+KfLp3NP106m3gqo62dCSXoC0T5y64+fvTSgaOuPXtmOXNrXAWy9MQoEU4CLEY9\njV4bjV4byaSd1w4O5s998JzpXL2ollr3+E27jZZRhwseb44XLriQFPNYXD5wus7Am22D/HlHDy/u\n6eewL4pOCGrcFiqdZu3lMOe9qYfKKhxmvHbTmAwFTWS4YEURYjLoWNVSzqoWLXyklJJgLE1nIEZ/\nOEFfSHv1hxPs6ArSF07QH0rSF04QjKUos5vy4sxkswxGUnz3piUnXcU4EpQIpwhCCNw2I27bycPl\npTLZ/Jz0k5s7efCF/QD4IqlxsU2JUPEOjHpdfmpwZpWDKqeZbz27i1t+vJ4Pnz+TpU0eljR5cI1R\n/EclQsUJSWclF86tYnqFncfeOMx3/rw7f+4H71/GlQtH7/qvRDhFkVLiiyTp9MfpDMToDhzZdgfi\n+egUWQnVLi2GT43Lwt0XzqCxTOuJnzHNOya2KBFOQlKZLIFQAn80SX84SXcwRlcgTpc/rm0DMdp8\nUQTQUGajzmOhxm2h1m1ldpWTWrdlQgNHKREWOYl0Ju92P7TIXfOKTh5xVs0tbh9a6B5NZvBYjXhs\nRsrt5pzALMyotHP2zArqPBaavLZ3LP0sFEqEBSSTlRwciLC9M8j2riAdg7G8w8KQ2FKZbD7Ex3BP\n6DKbkTqPhdY6V96zpsxmwmEEp9mAxVI6+aCVCAvEawd83PDDIwlOP3rRTC6aW3VUeLoyuwn7aXpC\nl2KWTyXCCSKTlWw6PMjzu/p4/aCPjW3+/Dm7Sc8/nNcyZkMepYYS4TgRSaTZ0xtma0eATYf9rNs3\ngMNs4MK5Vdx5/gyWNpad0sDxVECJcAzZ3RPin3/zFgNhbTpsRqWDuTUuljZ5uO3sabTWuopukVEx\noEQ4Atp8UXpDCYIJme+1PvzKQfpCCVoq7Pzs9pU0l9sn5XqQ8UCJ8DR5ZmsXd/58I/NrndR6rHjt\nJrx2Mzee0ciaBbW01hWnz14xo0R4mkyrsDOn2kFfOEmF00IslSUQS+GyGHhuZw+vHRjAadFWy7ly\nq+a0fQNWY/Gt+S0GlAhPk7k1Lp6860x2dIcZiGqBJoO5EL/hRIreUCIf0jeYC+s79MpKqcWbzo3z\nua3a2N9QDGq37Z3iHXoZizDM71ihRDgChBC01jpP26k1nsoQjKXwx4ZmN1K54ySBWIqenjiB2JGY\n1IGoVh6Mp3GYDRj1go9eNItbVjdPqhpViXACsRj1WIx6qlynlwRyyNngwRf386Unt/Gjl/bzrkV1\nnDOrgtUt5SUvSOXePwIK5d6fzUr294d5YlMnj6xvYyCi2bH+cxdTnRN2MS09UO79k4ytHQGu/q+X\nAJhb4+Sy+dVUOi0gJZ4SH/SevK3dSca8Whefumw2ADu7Q7TWuVlQ5+LiedXEU1mK/Yl2IlRNWCLo\ndYJbz5pGIJZCpxNs7wzyfFDzDzw0ECGVlZTnnR+MVDgteHOLlbSxTBMVDm1M05tbFF8sbUklwhLC\naTHy+ataj3kulszgiybp8UfwRZIEE9pipYFIkraBKAORhBbfJqLl74ulMsypdnL5ghoqHSYqnZrP\nYX2ZlQrHxLqBKRFOEqwmPfUmK5U2LQvpyTomj29oJ5xIMxBJsqM7xP/t7qM7GOfQQJTGMhvnzKrg\n3UvqJ2QGSIlwinL98oZjlqcyWX79Rjuf+90WfvrKQX5952pmVzuxGMcvxa4SoeIojHod1y+vJ5pM\ns7M7xDXfexmAeo+Vlz9z0bjcU4lQ8Q5SGcn3/roXf1Rb7L6k0cPnrpw3bvdTIpzkSCmJJDMEYtqi\nqKG42P6YlmgxEEvRG9ICsXcH4vQEE6Sz2XzwTYB7rpjDyuljs7zzWCgRTgJe2tPPG4d8tA/G6A/F\ntXnneDrvQGHU6/DkHCM8NiMeqynnSKGVtVSUU+3W1hXXuCy4rBM7fKNEWOIEYik+8NB6ZlU5+Ptz\np+Ox6HFbjVS4rLhzYjMZintO4pSsE0L8WAjRK4TYOqzMK4RYK4TYk9uW5cqFEOK7Qoi9Qoi3hBDL\nhr3n1tz1e4QQt47915l6uK1GZlY52NMbZkdXiHKHiaWNbmZWOal0motegHCKDgxCiPOAMPAzKeWC\nXNl9gE9K+U0hxGeAMinlp4UQVwIfBa4EVgH3SylXCSG8wBvACkACG4DlUsrBY9wyj3JgODmJdIaX\n9vTz+MZ2nt7SjcdmZH6diznVLuo8WjzCKqcWUaHaZcExQRH/x9SBQUr5ghBi2tuKrwUuyO3/FHge\n+HSu/GdSU/erQgiPEKI2d+1aKaUvZ+Ba4Arglye5d9GtpS02ewRw7owyzp1Rxr9dM5v+cJK9Awn2\n9IY5PBBhwyEfvcEEfbm4hEKI3CyJFn+wymHGbTVQ7bLwnqV1E742ZjT/EtVSyi4AKWWXEKIqV14P\nHB52XXuu7Hjl70AIcQdwB0Bj48RkH58sCCGodJqpL3dy/uyKd5yXUhJJZPjuX/fx8r4B3jjkP+r8\nebPK825hE8V41MvH+jeSJyh/Z6GUDwIPgvY4LpbH3tspVrvg2LZls5LDg1EO9Ed4eJ0W9f+MaWV8\n4z2LaC63FWwJwWhE2COEqM3VgrVAb668HRhefTUAnbnyC95W/vwo7q84Bsl0loFIEn88Sl8oQXcw\nzv6+CPv6wmw4NIheJ5hX6+T6ZQ3Uui1ctaiWmVWOgto8GhE+CdwKfDO3fWJY+UeEEL9C65gEckJ9\nFvj6UC8auAz47CjurwC+s3Y39/9lD83lNgKxFJFEGq/dRJVzqENiZnqFnbNnlvMv18ynyWvLJ2Ms\nFk5JhEKIX6LVYhVCiHbgS2jie0wI8UGgDXhf7vKn0XrGe4EocBuAlNInhPgq8Hruuq8MdVIUIyed\n1WY2Dg1EuWFFA7ee2cisKkdRNxXejlpjMgKKbYgG4EB/hA/8aD0d/hjr7jmfWm9hH7Gg1phMOaZX\n2Pnd3WfxyUc3cen9LyME2jSc+0hu5JpcMPSa3BRdeZGkrlUinERUOS08dMsypJRE04LuXIZ4zTkh\nwfauEM/v6suXB2IpPDZTblmACa9D2/faTSxtKuO8WRUTMoesRDgJEUJowTbtJubVHt8zOpnWlgAM\nvQYiCQYjSd44NMh//nkP58ys4Od/v2rc7VUinMIY9YJEOsOhAW0IZ19fhNcP+oglM1Q5zbx/VdOE\n2KFEOEVIpDNsaQ+wvSvIwf4obb4o2zoDSAkL6t3MqLKzuqWcuy+cyYxKu3LlUow9X3piG796/TDn\nzqrg3FkVrJxexj9fPoc5NWOfq+50USKcIuzviwDwqcvmsLjRU2BrjkaJcIrwqcvn8NBL+/nAj9bj\nsmquXvPr3LTWuZhX66TeYy3YYnglwinCyuleVk73ks1K2nxRtnRo7cNfrD/E9s4goXia5nIb/3XT\nUmZWOVSbUDF+6HSCaRV2plXYedfiunz5vr4wt/3kdS79zgsA/O9HzmFhg3tibJqQuyiKnpYKOz94\nf34lBl7HxE1JqppQQTSZpvWLzwJw1wUzuGFFI/Ue64TdX9WECtoHY/n9a5bUMa3CPqH3VyJU8PSW\nrvz+9AkWICgRKoBzZ1Xm9ze1+U9w5fig2oRTECm1YZoXdvfxwp5+1m7vAeC1z19MlXNiFzmBEuGU\nY0t7gHd9T4t9fcGcSq5bWs9n18wtaBo0JcIpQjCeYk9PmJf39ufLnt/Vx8O3rSygVRpKhFOAdfsG\nuOm/XwVgYb2bD54znXKHiTOmjV+krdNBiXAKsGJaGf940Uw2tvnZ3xfmkfVtNJRZWb/fx8wqB8ub\ny7h4XhVmw/hFYz0RSoRTAKNexz9dNid/HE6k6RiMcdgXZVdPiLt+sZHLWqt58JaTrkkaF9QQzRTE\nYTYwp8bJJa3VfPj8GQD8KddDLgRKhIqCo0Q4xdnaGQA0r5lCoUQ4RZFSsq0zkI/Of2AgUjBblAin\nKBsODXLVd7VB639/32Iua60umC2qdzxFWdjg5razp7GtM8h//mU3n/z15vy5b713Ee9bMXFxIVVN\nOEVJZSTXLK7j+mX1DISTGHSCGpeFuTVOWion1pNG1YRTkE2H/bz7+y/nj++5Yg63rJ42YbGs346q\nCacI2awkEEtx2BfFoBN84z0L8+ecFmPBBAiqJixppJQ8+MJ+BqMpzAYdwXgKfyRBMJ4mnMgQzCXU\nCca14Jl2kwGX1YjTom0vba3GoBOcN+udsa0nEiXCEiaTlXz7T7tIZY7EmPzCVXOodlrwOi24LEbc\nViMuixGHxVAUYeCOhRJhCWPQ69jy5ct5Zms3H390EwAXzq6kocxaVAE8T4ZqE5Y4nf5YXoAP3bqC\nes/Ee0aPFlUTljgtlQ6WNHrYdNjP3Y9spMJhptJhotxhocym5bXTCYEQcPWiunHN1jlSlAhLlHgq\nwyPr2/BHkyxqcNNcbqPLH2d3byi3hDPwjveY9DolQsXYIKXk0ECUr/xhOwCfv3Iey5rMuK1G7EZw\nWY1Uumy4rMaCJcg5HZQIC0QmKwnH0wTjWk7ioaGUYCyd26aOGmIJ5JJk+3M5jEGr2bx2E3+7qgl7\nbpyvGDMLnAwlwgJw209e46+7+rAa9ZQ7TLgsRlxWQ25rzB83eW25Y21cr8x2JFm2xVgYV/zxQImw\nADR5bQBkpSSblRj0ApvJgMdmpNploc5j5bzZlRMaD6aQKBFOMJms5MMXzOTy+TXs7Quz+XCALR1+\nntvZe9R1HzxnOl+4urVAVk4sSoQTzIzPPX3UsdduYvWMct6/qpllTWU0ldtwWQwFi5paCJQIJ5it\n/3I5B/sjtPm0CPo7u4L83+4+nnrrSFCiF++5kMbcI3sqoEQ4wTjMBl7dP8DXnt6BlGA26Gj02ljW\nVEZ9mRWDTkeZvXR6tmOBEmEB6AsnGMprecGcSu44r4X5de5J1eM9HYp/JHMS8tk183jry5dx5/kz\neHZbD9c/sI6P/2pToc0qGKomLBAui5EKhwkhYFaVgw9fMKPQJhUMVRMWkL8/t4XnPnkBu3vCXPv9\nl/MzIVMNJcIC84+/fDO//8nHNvHZ375FIDq1xKgexwUkk5Vs6Tji7fLnHdqA9dKmMlZO81LpNOfn\nhCczk/8bFjF6neC+6xexty9MMp3l4VcOAnDPb97KX/PoHWeyqqW8QBZODEqEBeaGM7RF5p3+WF6E\nADaTnsUNHp7a0sX6Az4qnWYqHGasRj2rWrwl4aJ1qigRFgl1HisHv3kV0WSa7kCcvlCCvnCC/lCC\nQ74o/7F2d/7ae66Yw10XzCygtWOLEmGRYTMZqPNYMep1GPSaa/6GXFqH9yytZ83CWi6YU3mSTykt\nlAiLiE//5i0efePwUWUmvY5LW6v57V1nsbTRMykdG5QIi4h/vmIOF86tJJzI0DEYY93+fl7d7+Op\nLV1cNr+aZU1lhTZxXFAiLCIqHGauWFALwLv+66X88M1ZM8pZNX3y9pAnTxdrkvHbu85iebNW81U5\nzfhjSaLJdIGtGh9UTVikGPU6/u36Razd3sPWzgAfeeRNDvuiuKxGppXbaCizYTbo+MSls6l2ld6C\n9+EoERYpUkoqnWYumlvF3Fonnf4YHYMxNrYN8up+H68fHATgXYvrlAgVIyOZzrKtM0BPMEFPME53\nME5PIE5XIJ4/FkCNW1v4VOe2Uuux8J5lDXxmzTzmVDuxmiaH/+FJRSiE+DFwNdArpVyQK/sW8C4g\nCewDbpNS+oUQ04AdwK7c21+VUt6Ze89y4GHACjwNfExKeSSc1BTjU7/ezJObOwGodVs4a0YFq1q8\n1Hts1LjNVLssOC3GAls5MZxKx+Rh4Iq3la0FFkgpFwG7gc8OO7dPSrkk97pzWPkDwB3ArNzr7Z85\npfjclfP46EUzuf3s6cyodPD4xnY+/fgWBqNJZlY5p4wA4RREKKV8AfC9rexPUsqhrtqrQMOJPkMI\nUQu4pJTrcrXfz4B3j8zkyYHLaqDaZWFHV5A3DvloqbBzybxqFta7C23ahDMWbcLbgUeHHU8XQrwJ\nBIF7pZQvAvVA+7Br2nNlJ0VKmQ9tUSyMhT1nf/N5BqMpvn/TYh7428XYhrXvRvP5xfZbnQqjEqEQ\n4vNAGvhFrqgLaJJSDuTagL8XQswHjjXXdNz2oBDiDrRHN42NE5fKYLzIZiWHB2Ps7AmxpyfMnr4I\ngznH1QtnV2CYRB4xI2HEIhRC3IrWYbl4qIMhpUwAidz+BiHEPmA2Ws03/JHdAHQe77OllA8CDwIs\nX75cFmtwn2PZ5Ysk2dkdZFd3iJ1doZzwQpTZTMyrdTK72snl82v5yEWzaK11jdtccLH+ZsdiRCIU\nQlwBfBo4X0oZHVZeCfiklBkhRAtaB2S/lNInhAgJIc4E1gO3AP81evOLj2VfXXvU8fLmMj560Szm\n17lo9Nqo91gxGaZ2zfd2TmWI5pfABUCFEKId+BJab9gMrM39Jw8NxZwHfEUIkQYywJ1SyqFOzYc5\nMkTzx9xr0nHwm1fhjyY5NBDNR1lo80V4aW8fbb4oPYEEFQ4TzeV25te5uHl1M83lE5u8ptgQxT5U\nt3z5crlhw4ZCm3EUo4kBmMpk6fLHOTAQ4cXdffzPq4c4e2YFn7hkNgsbRt8zLqb4hEKIDVLKk2by\nVs+FCcao19FUbuP82ZXce3Urm754Gfv6wrzrey/xmw3tk9ZJ4USoabsCYzXp+d1dZ7N2ezdPvdXJ\np369mRXNZfzo1hV4bIWvzSYC9TgeAeP5yHvqrS6+9OQ24qkMHpuRhfVuKhxm7r16HmbDyeeKS/Fx\nrGrCIuOqRbVctaiWbFayvz/Cq/sHuPf3W/mfVw8xt8bJjWc08ndnTy+0mWOKahMWKcF4in/+zWYe\nff0wM3KpX3d2h/jXp3ZQ7E+v00XVhEWKyaDjzdwqu+/8zWIunleNa5I6NaiasEixmQxs+fJlNJRZ\n+cSjm+kYjJHNTq4acAglwiLGaTHy109dAMCa+1+k5XNPc8fP3iisUeOAEmER89jrh5n1+SMTS41e\nK6taygnGJ1fULtUmLGKuWlSL22ZkIJykKxCjwx/j/j/v5tvP7uLaJXVcMKeKKxbUFNrMUaNEWMTY\nzQYun39EZIORJJfMq+aXr7Xxq9cP86vXD7Pna2tKPjiSEmGJ8KUntvLTdYcA+OSls/nC1a3MrnYW\n2KqxQYmwRKhyWaj3WDHoBd9/fi/Pbu+mpcLBtHIb0yrsLG8uK1lvHDVtNwIKPTUWSaTZ1RNiV3eI\n311FBGUAACAASURBVG3s4LWDmrfcG/degsskCmrbcNS03STGbjZg0Ak++9stLKh38aHzWzh3ZiUV\nDvPUW2OiKAx7e8Nc872XAdjaEeQ3d55V0ol4SrtbNUUx6ATOYQHVP/XrzWzvDBbQotGhRFiCTKuw\n89aXL+Peq+YB8Ie3utjdEyqwVSNHPY5LgExWMhBOsLcvzP4+LUPogy/sByZHdH8lwiLDH03yv291\n8dedvQxEkvQG4/SHE7itRprL7cyudtDotfHv71vM7GrnmKxLKTRKhEXE/r4wF/37/wFa1NYf3ryc\nKqcWHGkyLxOdvN+sBJleYeeRf1iF3aSnP5zg+gdeocJhntQCBFUTFpwOf4yHXz7AwYEobbm1yrVu\nCzevbqbGZZk0MQhPhBJhgVm3b4D/fvEAADUuC1csqGF2tROv3USF00yHP0a10zyp49UoERaY9y5v\n4MqFNVqkhoEonf4YnYE42zoD2r5fi9oKsOHeSyh3mAts8dijRFgE2EwG5ta4mFvjAuAX6w/xy/Vt\nGPSChjIb3cE4l8yrxmsv/HzweKBEWIT4oylCCS0Sw2A0wMJ6N26rke89t5fmCjvTym00e+24bZNj\n4ZMSYRFy94UzufvCmUgp6Q0lONgfYXdvmG8+vYNIMpO/zqgX7PnalQW0dGxQIixihBBUuyxUuyw8\nu60nL8B7r5pHtcvC3JrJ4dQ6ebtck4xzZ1Xk9xPpLHqdKGnPmeGomrBEuHBuFRvuvYTnd/XxyV9v\nBmBGpZ2/fPKCwho2BigRlhDlDjPvXlqfF2E8leXGB9flH9lVTjOVdiO1bjPNlS4qHWZ0uuJPTatE\nWGLodYKD37yKdCZLpz9Omy9KbyjOYV+MV/YN8NqB/9/emcfJVZV5/3u6a9+rl/TeSWcnSZNAICTs\nvCxGCLK9giLiODAg6js6o6/iwjADKvAqOri8jnFnEBBFWQQRMCBrQlgSCUk6abL0vlV3de37mT/u\n7UoHOknvVdV9vp9Pf+rec29Xnqr+5Tn3POc8z+knpI+sV9a6efSzp+fY4mOjRFigNHUHeb6pl2//\npQmPzUgknqbCbWZFtZMajxW7xcgVJx51e5m8QYmwQPneM3t5dlc3AMurXayodjPHZeHkehdLK515\nkeg0WpQIC5AOf5Rr1tbTWOPmjZYBdnYEeLnZB8D1p80tuNCNEmGB0O6P8rvXW3mrxc+2Vj/H17qp\ndFk4rsrJuvmleG1G1i0opcpZeLMoSoQFwGA0yWl3bsqeX7yymnuuWjXiyFelfComTCyZpj+cOOzH\nF05wxYm1vLi3l55gnMe3d7Dh+KrD6tQUMkqEOaK1P8KDW1voDsTZ1xuiJxinP5wglZZ47UZK7GZK\n7Sa8dhOldhPzy+2cMr+EBeV2llS6cJhnzp9u5nySPKbdH+X+LQcZiCTpGozR4Y+yu0tL0bzj8kY+\nvLqWSreFErsJh9kwZfvd5StKhFOIlJKW/ghnfft5AG6/ZDnnLJlDldtCrdeK22qcdYIbCSXCKeC5\nph4efK2FN1v8FAvBqQtKOWtxOR9fNy/XpuUlSoSTTGt/hE/+cisr6zz84aZTqfValbc7BkqEk8z6\n/3wBgO2tfq75+RbKHGZK9MFFif6TbXOYWFDumDFLssaLEuEk885t65FSEoyn6AvG6Qsl6A/H8YUT\n9IcStA1E2d42SH84Tm8wTmt/lBPqPaybX8qSSicn1Hspd868ZKajoUQ4BQghcFmMuCxG5pcf/d5w\nPMWLe3t5q9XPbX/aSdtAlJPnebnq5HrOO27OrNhkUVVqHQdTWak1lkzz5Nud/OtD27Gbitn0xbPH\ntC4w11Vkh6MqtRYoFmMxl59YSyot+c1rLZzyrb8C8N/XreGMRcdwqwWKyjHJU648uY7Pn7cIAKux\nmCUFtjJmLChPmEfct/kgT77didduom0gyoG+MADRZJreYJw5TkuOLZwalAjziAdea+GdjgDrl1fy\nbxuOo85ro6xA8kQmguqOc4yUkp5AjOeaevigvkXYU+90saxKWyk90wUIyhNOK6l0hp5gnM7BKAd9\nEZ58u4st+30Yi4tYWulkQbmDr114HOcvq5gVJeGGUCKcBjIZyfyvPnlYW0OZnatOruOuKxpnZKWt\nsaBEOA0UFQnuv/4UNu/z0ROM0zEY44U9vTy7s5srT6rLtXk5R4lwmjh1YRmnLjxUyuO7z+zhleY+\nTrz9GQDu/cc1rJ7rxT6DFquOFjVjMg4mc1binY5B7tvcwgOvtQDwgeUVzCuz4zQbuP6M+WNe3FCI\nMyZKhONgKv7Q4XiK/X1hDvjCbG/189MX93PJqmouO6GGtfNLRy3GQhTh7PP9eYrdbGBFjZsVNW42\nHF/N6YvK2bSrm3/45VYAdt++fsYu+VIizFPOWlzOWYvLCcRS/PGtdlbd9jSL5jhZXu1iWbWLE+q8\nM2IjHVAizDsiiRS+0KF0z9MWlrG00knbQJSXmvt4cGtr9t7NXzmXSnfhT+UdU4RCiF8AG4AeKeUK\nve3fgX8CevXbviqlfFK/9hXgOiAN/LOU8i96+3rgHqAY+JmU8s7J/SiFg5SS/nCC7kCc3lCcg74w\nW/b188TbnZgNRdoqbIcpm/ZZajdR5bFw01kLqC2x0lBmp8I5c2ZTRuMJfwX8ELj3Pe3fk1J+Z3iD\nEGIZ8BFgOVANPCuEWKxf/hFwPtAGbBVCPCal3DkB2/OeWDJNc0+Iv+3pzW6U0+aP0B2IYzMVU+G0\nMMdlptpt5czFZXx5/VLqSmZfTsoxRSilfEEIMW+U73cJ8KCUMg7sF0I0A2v0a81Syn0AQogH9XuP\nKUIpZd6VthjJnkA0ybu9Yd7tC/PVR7SPZSwW1HqsnLmojOXVDtYvK6fWa6XCZT7iICOZTE66bfnO\nRJ4JPyuEuBZ4HfiClHIAqAE2D7unTW8DaH1P+ylHemMhxA3ADQB1dfk/o3Def75ES3/0sLYPrazi\n0pVVzHGaKXOY8FiNM6b7nGzGK8IfA7cDUn+9G/hHYKRvWTLyap0jBiillBuBjaDFCfMh5jUSQ3b9\n9sZ1HOiL0BWI0huMZ39+/srB7HEonqLUbqYrEOObl63gY6fMnRbbCoFxiVBK2T10LIT4KfAn/bQN\nGO66aoEO/fhI7QVPldtKldt61HsSqQy+cJxfvLSfr/1xBw6zgUtW1Rz1d2YL4xKhEKJKStmpn14G\n7NCPHwPuF0J8F21gsgh4Dc1DLhJCNADtaIOXqydieCEQTaTpGIzS4Y/SPqC9vtMRAJgxFbUmg9GE\naB4AzgbKhBBtwK3A2UKIVWhd6gHgRgAp5TtCiIfQBhwp4DNSyrT+Pp8F/oIWovmFlPKdSf80OSIc\nT9EXOtQN3/SbNwEwGYqodluo9lip8Vip9li5dFUNd1+5csbOfowHNXc8RgKxJLc9toMDvgi9oQS9\nwTjpjKTcaabMYabcaSYYS3LrxctZUuGc9sGImjueJfz+zQ7cVgN//PRplDvNs7Kc22SickzGiMti\n5L5PrmYwmuKpd7oIxFJKgBNEecJxsKahhAeuO5nHd3Rz0fdfxGYs5tzjKrj90hW5Nq0gUZ5wnKye\n6+FblzWy5avncvUp9fz35oOce/fzvNzcR74/Z+cbamAyDkZ6+E9nJF94aBuPbOvAYTZQ67VSV2Jj\nbomNhnI7K2s9LKtyTflApRAHJkqE4+BYf+jBaJLW/ghtAxEO+CL8/o02mntCLK5w8PS/nJVT26aT\n0YpQdcdTgNtqZEWNm/UrqrjqpDqae0IA7OkOMe/mJ3h0W3uOLcwv1MBkCtm8z8dHNmrrOcr0qqwl\ndhPH13pybFl+oUQ4haydX8rFK6t5fHsHZy4u57tXrsq1SXmJ6o6nmOtPbwDAbCgilkzn2Jr8RHnC\nKUYIKLGbeGFPH0tveQqAxho3153eQJXbwqIKJyX23A8icokS4RRzfK2HN285Hykldz3VxAt7ellR\n4+Kvu3vo8EfZ2RFg/YpK1jSUsKrOw3FVrlybPO2oEM04mEgYZDCSZFdXgIO+ML3BOM09IR7Zdmhp\nZfM3P4ihePxPSYUYolGecIrZ1urnt1tbebcnRHNviHgyzaIKJwvnOCh3mllW7eLUBWW4bUbqvLYJ\nCbBQUSKcIOmMpDsQo7U/QutAVH+N0NYfpXUgQudgjLOXlPP58xZlhacWPByOEuEo6Q7EeLc3RGt/\nhF0dgzT3hGnzR+kYjOGxGqkrsVGnT9WtbSildrWVOq+NKrdlVnq3saBEOArSGcmGH7xEbzDOhY2V\nLK90cuqCEubPcVPrtapV0hNEiXAUxPTq+QCfPnshi8u1pKZ8ePifCah+YhTYzYbsWsE93UEymfyO\nKBQaKkQzBubd/AQA5Q4Ta+eXUOa0HLaLZ6lDqx1T6bbkrItWIZoZzvZbL6DDH6WjP0R/JMlgLI0v\nnOCtFj+bdncz3EG+dcv5eGf5TMhoUSIcA26rEbfVyIJSrRyb0WjkPx7fybO7ujltYSmr6jysrPWw\nqs6jBDgGlAgngD+S5FevHOArH1zKjWctyLU5BYsS4RhJpjM8sq2DwWiKO55qAmB59cyomJorlAjH\nyB1P7uYXL+/Pnp9Y76ErEOP5ph7KHGZKHSZK7WZMBhV4GC1KhGPkCxcs5pR5bgYiSfyxNL5QnFea\n++gNxfGFEvSF4vSHE9jNBkodJq0qg16ZoUw/L3OYmeMys6TSidmgAt1KhGPEbjZwzhJt8+sjhUEy\nGclgNKnVpwnF6Qsl6AvqpYEPDtAXirOzM0B3IM4Zi8qocFmocJmpcFn0eoaaaMudZmymmf8nmvmf\nMAcUFQm8dhNeu4lFFUfeLHto35KeQIyeQJw93UFe3NuXLa7UNqAV3tx52wdmtBhn7ifLcyKJFE1d\nQQKxpOYp9e7cN6y6V5nDxDVr52KZ4V22EmGOePVdH5+679BM0NcvOo6TG0qY49S65Dmu2dEVg5q2\nGxeTNTWWTGd46PVWvvbHHYe1/+jqE7no+Kqc2jYZqOT3AuDl5r73CRDAaTHMqno2s8Pf5ykem4kT\n6z2YDEUUFwn8kST+SJKb7nuDeCqDx6ZNE3ptJjw2EyV2Y3aRRIldC/csq3ZRVuCbdisR5pBVdR7+\n8OnTRrwWT6Vp8UXY2xOiuSfEnu4g21sHaeoOvu/ev3z+TJZUHnkUnu8oEeaQaCLNd55uYn9fGGOx\nIJbM0BeKZwPeVmMxZUNxQ4eZtfNL2HB8FaUOPfDtNDOv1F7wectKhDlkIJLg5y/tf1/71afUc+vF\ny2bNbIoS4RQhpaSlP0KHP0Z3IEZPMKbFAfXdO32hOL5wApupmFRGUmo34bWZ8NqNXHlS3awRICgR\nTjrJdIa7n97Df/3tXSpdFupLbFS6tdhfqcOcrcxV4ji0GttuKp7VaaBKhJOElJLuQJx/+e02Xt3n\n487LG7nq5LpZLa7RokQ4BhKpDD/ctJdgLMFgNMVAJIkvnMAXStAbimM3FbN+RSV3XXE89aW2XJtb\nMCgRjoGMlHx/U3P2fGgz7M+cs5DLTqjBapo9z3GTiZoxGQMWYzEH7ryIb1xyHAC+cIId7QHebh9U\nApwAyhOOkUe3tfP1R3cB8PBNp3JCnUftYzxBlAjHyOkLy/jX8xby2v4Brv35Fk5dWMayKhdLKp0s\nrnBSX2JTS/vHiFpFMw6GVqokZBFP7ejiQF+Y3V0BmntCHPBFAHKWgVeIq2iUJ5wADrOB/7269rC2\ne57dy/ee3cMDr7Wwqs7DSfNKKFbd9VFRIpxkPnfeIi46voo//b2DqzZuxmE28NrXzp01C1THg/pm\npoCFcxx87txF/OzF/YTiKU647RkMRQKjoYhkKsPSKhc/+fjqgl+CNVkoEU4iPcEYzT0hOvwxOvxR\nNhxfRbs/Srs/yr7eMCS0LSR2dgQYCCeUCHWUCCdIJiN5+d0+bn74bcKJFIvnOKnxWqn2WGisdfOB\nFZXUeKxUuS04LcZcm5uXKBFOgM7BKOvu2ATAmYvLuXn9UuaX21Xl1jGiRDgB5jgt3HF5Iwf6wuzv\nC3Ph918EwGYqZudt63NsXeGgRDgBiosEH11Tnz0fKqL55fVLSaUzqmD6KFEinET2fetCnt3Vzd1P\n7+GOP+9CIPjOh1eOO31ztqBEOIkUFQkuWF7JBcsrCcVTXPOzLXzm/jd5q6WBSreFq0+pV/HCEVDf\nyBSQTGf43jN7aKxxE4gm+ZmeR3JKQymNtaqW4XtRIpwCntvdk01gOmtxOecvr6Cxxo3VVIQ/ksBj\ny/28bj6hRDgFrKzz8OmzF5DOSAYiCfb1hnnjwAD9kQS9gTh2s4EVNW5W1Lj0GKKVSreFSrcFh3n2\n/Ulm3yeeBipcFr60fumI16SUtPZHebt9kJ2dg7z6ro/OwRhdgRidg1EMRVo1hngqzcnzSvjJx1fP\n+OfImf3p8hAhBPWlNupLbe8bNUsp+d0bbXzp938H4MW9fXzjiV3824ZlMzoArkSYRwgh+PDqWtbN\nL2V7m587ntzN/VtaeKvFz88+cRI1HmuuTZwSjilCIcQvgA1Aj5Ryhd72W2CJfosH8EspVwkh5gG7\ngCb92mYp5af031kN/AqwAk8Cn5P5vqJ2kkmmM/SHD9W1HqpxfdAXYUfHoFYCJJggLSVemzE717yr\nU9uke9aKEE04PwTuHWqQUl41dCyEuBsYHHb/u1LKVSO8z4+BG4DNaCJcD/x57CbnL6l0hnv+upf2\ngSgS8EcSDESSDES0qgvRRBpvdgsyrcp/qcPE3FIbF6+spsJlnpXJ8McUoZTyBd3DvQ+hfVNXAv/r\naO8hhKgCXFLKV/Xze4FLGYUIpZTZJev5wpHs8UeS/GBYSugQlS4zjdUuGsrs1JdYtUr+dhNlDk2M\nHqtxmOgyJJOZSbctn5noM+EZQLeUcu+wtgYhxFtAAPi6lPJFoAZoG3ZPm942IkKIG9C8JnV1dRM0\ncfrw2Izsue18QOt6/XpyfH84QX8kSW8wTutAlG2tetcbStAXThBLprV6g3YT5U4z1R4L1W6LXkbE\nytxSGy6LccamCUxUhB8FHhh23gnUSyl9+jPgI0KI5cBI394RnwellBuBjaAlOuVD0s5IHM0uE2C3\nWqgpPfb7xJLaRo19wTjdgRjt/ihdgzHefKeHTbt7cFuNBGNJ7CYDLqsRp8WAy2LEZR16NeKyGHDb\nTFQ4jLitBrwOK279XmeeC3jcIhRCGIDLgdVDbVLKOBDXj98QQrwLLEbzfMMzgmqBjvH+2zMNi7GY\nGo/1qAOPTEYSSqQIRJMEoikCsSSBaJJgbOg4xb7eEK80RwlEk4QSGf16klA8hdVYrItVF/EwMR/p\n3GM1Uuud+hTWiXjC84DdUspsNyuEKAf6pZRpIcR8YBGwT0rZL4QICiHWAluAa4EfTMTw2UZRkdC8\nnsUI3iPfN1LKZyYjCSdSBGIpgrpgfaE47f4obQNR9nQHaRuI0tIfIaKnIAznlg3LuO70hkn/TEOM\nJkTzAHA2UCaEaANulVL+HPgIh3fFAGcCtwkhUkAa+JSUsl+/dhOHQjR/ZoaNjKebdEYSjCUZjGo/\nQ97RF4wSjKUIJzOHeczBaJJATPeksSTpjDzUlVuNlDvNLKpwZusklji0Z9Qyp5njqlxT+llU8vs4\nmIwEcyklsWRGF8dwoWiC0oSlnQ+J7JDgkkSSaeymYtx6cXWXRXu1m4q0Yut2c7b7HXp2dFuN2TaL\nsWjKw0Aq+X0ayWQkfeE4e7pCDEQShwvpPZ4oOExsxUNdrHVISIbDhFLhsrCownHYPUPXnWbDiDVw\n8qkCw2hRIhwjwViSTTu7+dvePvb7IvQEtC3A7OZiFlc4KXOYDxu11nitWYEdEpvmnWZTSeCjoUQ4\nBjIZSeO/Pw3Ah1ZWcfP6pVR7tODzTF5gMNWoTJwxUFQkeOjGdXzkpBr2dAf5p3tf59evHCAUT+Xa\ntIJGecIxsqahhFU1DgD6Imm++cQuTvrGs5Q7zdR5rdSV2KgvsVHntVHlsWgjTX0HJuUtR0aJcAJU\ne6z86GMn8oOMpDsYo7U/Smt/hNaBCJv3++gajGkLGPSpO2OxoK7ERom+F3K5w4zVVMy16+ZS5Z6Z\nK2RGgxLhJFBUJKhya8v01zSUjHiPlNpu8E1dQZ7e2c0zO7tp6ddqGV7UWKVEqJh64qkMV/90Czs7\nA5y6oJQPrazmhHoPZywqn/WVXZUIp4DhgWh/NEFfMMHurgA7OwMA/Pia1bitqjjSEEqEo0BKydvt\ng/hCCQajSfqC2iKBYEIT2mDk0PSZX38F8FiNeGxGSuwmFs5x8K3LGmmscSsBvgclwlHwu9fb+NLD\nWvKRy2JgWZWLRj1dc1mVC4/NlJ3NGNqjWI2ER48S4Sg4b1kF/ze0hLaBCG0D2gj47Y5B1swrYU1D\nKRcdXzXj0zKnEvXNjYISu4nPnLMwe55IJBiIJPjN1g7uemo3tV4rF6+szqGFhc3sHpZNAK/NRIVL\nK/fb1PX+3dgVo0eJcJxIKTl9YRkAP3yumZf29uXYosJFdcdj5KkdXXzqvkPrG8scJvpCCZKZ8WfI\nzXaUCMdIudPMOYvLaB2I0twb5oxF5dyyYZkKu0wAtbJ6HCQSCTbt7uVT92+jvsTGYFRLJnKYDXhs\nWmbb9z9yAitqpr8WYT4tah3tymolwnEw0h/aF4rzzSd38cw73QTjKZZWOnnin8+Y9lTLQhSh6o4n\niX19Yf7wZnv2vN0fZcFXnwSgym3hPz60nAuWV+bKvLxGecJxMFpvc/a3n8vu+glw+6UrcJoNOMwG\nHBbt1Wk5dD4Zy/2VJ1QcxlOfP5NNu3s46IvgjyTY1RkgFEsRiqcIxVIE4ylC8SShWIqBiDbf/IXz\nF+s7QmkLZKvdlhlfHEmJcAqxGIu5sHF020f4QnF+/coBosk0f9vTS4c/yv6+CDZTMZefWMMpDaWs\nnV8yIwWpuuNxMNVd3lstA1z2/19hjtNMTzCebX/4plNZPfco5RemwbaxoLrjAiWTkdndP4cEuG5+\nKT+5drVWAmQGokQ4hbT7o3T6o0etqpA9jmnrEkPxFDaT4TAv+Oo+H4FoUolQMXYuvOfF7ALX9+Iw\nG6j1apW4Fs5x6Mc2qj0WPDaTXtJtdiTIKxFOIdtvvYBYMp0tF9wf1lZmB/XqWNqr5g23HhhgU6wn\n2zZ0vbhI4LWZ8NiMeG0mvHYjHpsJr34+lLmnreI2YTPIgvOYSoRTjMVYnM3EGytSSqLJdDZt1K/X\nv/ZHtfN2f5Qd7YP0R5IM6u2DkSTBeAq7qRiPLl63LtBqj4WllU7mOC3ZmtlemzHnu5EqEeYxQghs\nJgM2k2HUlfsTiQSZjCSeKcIf1YTrjybxRxK0+CJs2t1LX1DfPSAcxx9J4rQYKHWYKbWbKHOYNe9q\nM76vqtfw88ms/qpEOAMpKhK4LUbcNiNzj1GuOJ2R+CMJfPqWFr5wnL5gnMFois7BGE1dwfcNpNoG\notnfv2BZBRuvPWYU5qgoEc5yiouE5gUdZqg4/JqUku5AnOeaemgfiLK3J8jurhROs4GVdR7WNJSM\nOhh/NJQIZzHD86MHo0la+yM0dQfZ3RVkX2+IFl8Es7GYdCbDlSfXcfHKar54gZP55Y5JXR2kRDhL\neONgPy39EXqDcZq6Qjz8Zhs2UzGptMxWe61yW1hW5eLsxeVcf3oDc0tt07ItrhLhDCaSSLFlfz9/\n3dXNfZtbALju9AaOq3Ky8eOrWbegFIfZkPP5aCXCGcie7hAbfvQqABZjEZ84dR5/+j+ns7zalXPB\njYQS4Qyk2mPhmrX1tA9E6QnGeWhrK796+QBzS22srPWwqt5DQ5mdOq+NSrcFo4oTKiYbh9nANy5t\nPKwtkkjxbk+YbW1+3mrx8+i2Dl2ksWxssCS7+aN2XuYwUem2UuOxUOOxYTVNzRSiEuEswWYy0Fjr\nprHWzcfXzs22J9MZugMxPXitxQr7w3F84QT7+8J0DXbyUrOWU33rxctYUulkaaWLEvvkDViUCGc5\nxuIiar02ar22I97TNRjjzzs6ae4J8cTfO2nqDmIxFnNclYvV9V6uPLl2QkU+lQgVx6TSbeGTpx3a\nVkxKSedgjB3tg2x8YR9WUxE3nLlg3O+vRKgYM0IIqj1aHszWA/3H/oVjoGrRKHKOEqEi56juWHFU\n4qk0nf4YbQNR2v1akdD2AW2L2raBCH2hBHde0XjsNzoKSoSznFgyrQtME9VwgbX7owyEk1S4zdR4\nrPoo2sq6BaXZ48kIdisRzjJ2dQb44XPNukeLEIimqPZYqPXadKFZOXtJeVZkFS7LlNfTyfu8YyFE\nEGjKtR0jUAbka2XMfLFtrpSy/Fg3FYInbBpNAvV0I4R4PR/tgvy2bSTU6FiRc5QIFTmnEES4MdcG\nHIF8tQvy27b3kfcDE8XMpxA8oWKGo0SoyDlKhIqck1dxQiHEUuASoAaQQAfwmJRyV04NU0wpeeMJ\nhRBfBh4EBPAasFU/fkAIcXOObXMLIe4UQuwWQvj0n116myeXts0E8mZ0LITYAyyXUibf024C3pFS\nLsqNZSCE+AuwCfi1lLJLb6sEPgGcJ6U8P1e2DSGEqGBYDyKl7M6xSaMmn0S4G/iAlPLge9rnAk9L\nKZfkxjIQQjQd6d8/2rXpQAixCvgvwA0MbaRSC/iBT0sp38yVbaMln54JPw/8VQixF2jV2+qBhcBn\nc2aVxkEhxJfQPGE3ZD3PP3DI1lzxK+BGKeWW4Y1CiLXAL4GVuTBqLOSNJwQQQhQBa9C6FQG0AVul\nlOkc2+UFbkYbNFWgdXndwGPAXVLKiSdajN+2vUd6VBFCNEspF450LZ/IKxEWCkKIM9D+s7wtpXw6\nx7Z8H1gA3Mshr1wHXAvsl1Lmuhc5JkqEo0AI8ZqUco1+fD3wGeAR4ALgcSnlnTm274McCm0N9SCP\nSSmfzKVdo0WJcBQIId6SUp6gH28FLpRS9goh7MBmKeXEkixmOXkTJ8xzioQQXiFEKdp/3F4AzLKF\nwQAAAkFJREFUKWUYSOXSsGExzF2FGsNUIhwdbuAN4HWgRI8RIoRwoHV/ueQhYAA4R0pZKqUsBc5B\nC9H8LqeWjRLVHU8AIYQNqJBS7s+hDXkbwxwtyhNOACllJJcC1DkohPiSHrcEtBimPg2a6xjmqFAi\nLHyuAkqBvwkh+oUQ/cDzQAnw4VwaNlpUdzyDEUJ8Ukr5y1zbcSyUCGcwQogWKWV9ru04Fvk0d6wY\nB0KIvx/pEu/bHic/USIsfCqAD6CFaYYjgFem35yxo0RY+PwJcEgpt733ghDi+ek3Z+yoZ0JFzlEh\nGkXOUSJU5BwlwmlGCGEQQvQJIe54T/vzQogmIcR2IcTLQoglw9oLpsLWeFAinH4uQKu3eKV4/0Zz\nH5NSrgR+DXx72i3LEUqEU4QQ4hY9RfQZIcQDQogv6pc+CtwDtABrj/DrL6Dl1swKVIhmCtC7zyuA\nE9C+4zeBN4QQVuBc4EbAgybIV0d4i4uBt6fH2tyjPOHUcDrwqJQyKqUMAo/r7RuA56SUEeBh4DIh\nxPBdC38jhNgGnAZ8kVmC8oRTw5EWun4UOE0IcUA/H1qA+qx+/jEp5etTbFveoTzh1PAScLEQwqKv\nvr4IsKF5yHop5Twp5Ty0hKmP5s7M/EB5wilASrlVCPEYsB04iJYW0AlsklLGh936KPD/hBDmHJiZ\nN6hpuylCCOGQUob0FIAXgBsKoSRHLlCecOrYKIRYBljQyocoAR4B5QkVOUcNTBQ5R4lQkXOUCBU5\nR4lQkXOUCBU5538AXRXnGUEKb9IAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sm = gr.smooth(window_length=15, samples=False) # Line 9.\n", "\n", "sm.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 9. Export a set of curves as a matrix\n", "\n", "You can get at all the data through the lasio `l.data` object:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Data shape: (12718, 25)\n" ] }, { "data": { "text/plain": [ "array([[ 1.06680000e+00, 2.44381547e+00, 4.39128494e+00, ...,\n", " 2.39014983e+00, 4.66986504e+01, 1.20125000e+02],\n", " [ 1.21920000e+00, 2.44381547e+00, 4.39128494e+00, ...,\n", " 2.39014983e+00, 4.66986504e+01, 1.20125000e+02],\n", " [ 1.37160000e+00, 2.44381547e+00, 4.39128494e+00, ...,\n", " 2.39014983e+00, 4.66986504e+01, 1.20125000e+02],\n", " ..., \n", " [ 1.93883280e+03, 2.42026806e+00, nan, ...,\n", " nan, 9.22462235e+01, 7.30000000e+01],\n", " [ 1.93898520e+03, 2.42026806e+00, nan, ...,\n", " nan, 9.22462235e+01, 7.39375000e+01],\n", " [ 1.93913760e+03, 2.42026806e+00, nan, ...,\n", " nan, 9.22462235e+01, 7.42500000e+01]])" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(\"Data shape: {}\".format(w.las.data.shape))\n", "\n", "w.las.data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "But we might want to do some other things, such as specify which curves you want (optionally using aliases like GR1, GRC, NGC, etc for GR), resample the data, or specify a start and stop depth — `welly` can do all this stuff. This method is also wrapped by `Project.data_as_matrix()` which is nice because it ensures that all the wells are exported at the same sample interval.\n", "\n", "Here are the curves in this well:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "dict_keys(['CALI', 'HCAL', 'PEF', 'DT', 'DTS', 'DPHI_SAN', 'DPHI_LIM', 'DPHI_DOL', 'NPHI_SAN', 'NPHI_LIM', 'NPHI_DOL', 'RLA5', 'RLA3', 'RLA4', 'RLA1', 'RLA2', 'RXOZ', 'RXO_HRLT', 'RT_HRLT', 'RM_HRLT', 'DRHO', 'RHOB', 'GR', 'SP'])" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w.data.keys()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": true }, "outputs": [], "source": [ "keys=['CALI', 'DT', 'DTS', 'RHOB', 'SP']" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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s/EhIRETkJKVmq8NyoHq1EiVmK7o2CkXbekGQJEAhSQj10yLUV+vGSIluTFyo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VqjDe9vad9qvHWeO0lDCCyIMxvgHD7TjG3H6/D0T4UYkajHrJwYTE6PhkbOQsZQkLG0S8pHlPOR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xjdF2f/HEHlBwHGQcA45lwDINrzPAMQwYxlqaj2WsVU2YhtsMg5QoqmJypWEYBg9MTLRLZtVy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\npW5JPysrK02ycmN0Ib8SM6N9xA6D6EFfVxtcLa3BD8e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QHueeBD/YWkphbSGhdGrktnAc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\nQowWNWYJIYQQQojRosYsIYQQQggxWv8PZmK4uGYp7hoAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "w.plot(tracks=['TVD']+keys)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": true }, "outputs": [], "source": [ "X, basis = w.data_as_matrix(keys=keys, start=275, stop=1850, step=0.5, return_basis=True)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(12718,)" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w.data['CALI'].shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So CALI had 12,718 points in it... since we downsampled to 0.5 m and removed the top and tail, we should have substantially fewer points:" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(3151, 5)" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X.shape" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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ydMqJLUsuu96xmhaP23a71MzAPL3kAL7aXha14/D+1muVXCpHpdWcROt9+tsP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\naT4eSHqiEePy0z3uO1TZFPb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5O4cix4AuTP3SE/F+4TGUN7bhvgtGYUJBJkpqW7DmYDUu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\nCNFRDEp1UemJJuqaPQxLdpJXVkd2Wttz1wLlldWSEBfd5rq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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(15,3))\n", "plt.plot(X.T[0])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 10+. BONUS: fix the lat, lon\n", "\n", "OK, we're definitely going to go over our budget on this one.\n", "\n", "Did you notice that the location of the well did not get loaded properly?" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Location({'td': 1935.0, 'crs': CRS({}), 'location': 'Lat = 45* 12\\' 34.237\" N', 'country': 'CA', 'province': 'Nova Scotia', 'section': '45.20 Deg N', 'range': 'PD 176', 'township': '63.75 Deg W', 'kb': 94.8, 'gl': 90.3, 'tdd': 1935.0, 'tdl': 1935.0, 'deviation': None, 'position': None})" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w.location" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's look at some of the header:\n", "\n", " # LAS format log file from PETREL\n", " # Project units are specified as depth units\n", " #==================================================================\n", " ~Version information\n", " VERS. 2.0:\n", " WRAP. YES:\n", " #==================================================================\n", " ~WELL INFORMATION\n", " #MNEM.UNIT DATA DESCRIPTION\n", " #---- ------ -------------- -----------------------------\n", " STRT .M 1.0668 :START DEPTH \n", " STOP .M 1939.13760 :STOP DEPTH \n", " STEP .M 0.15240 :STEP \n", " NULL . -999.25 :NULL VALUE\n", " COMP . Elmworth Energy Corporation :COMPANY\n", " WELL . Kennetcook #2 :WELL\n", " FLD . Windsor Block :FIELD\n", " LOC . Lat = 45* 12' 34.237\" N :LOCATION\n", " PROV . Nova Scotia :PROVINCE\n", " UWI. Long = 63* 45'24.460 W :UNIQUE WELL ID\n", " LIC . P-129 :LICENSE NUMBER\n", " CTRY . CA :COUNTRY (WWW code)\n", " DATE. 10-Oct-2007 :LOG DATE {DD-MMM-YYYY}\n", " SRVC . Schlumberger :SERVICE COMPANY\n", " LATI .DEG :LATITUDE\n", " LONG .DEG :LONGITUDE\n", " GDAT . :GeoDetic Datum\n", " SECT . 45.20 Deg N :Section\n", " RANG . PD 176 :Range\n", " TOWN . 63.75 Deg W :Township\n", "\n", "Look at **LOC** and **UWI**. There are two problems:\n", "\n", "1. These items are in the wrong place. (Notice **LATI** and **LONG** are empty.)\n", "2. The items are malformed, with lots of extraneous characters.\n", "\n", "We can fix this in two steps:\n", "\n", "1. Remap the header items to fix the first problem.\n", "2. Parse the items to fix the second one.\n", "\n", "We'll define these in reverse because the remapping uses the transforming function." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import re\n", "\n", "def transform_ll(text):\n", " \"\"\"\n", " Parses malformed lat and lon so they load properly.\n", " \"\"\"\n", " def callback(match):\n", " d = match.group(1).strip()\n", " m = match.group(2).strip()\n", " s = match.group(3).strip()\n", " c = match.group(4).strip()\n", " if c.lower() in ('w', 's') and d[0] != '-':\n", " d = '-' + d\n", " return ' '.join([d, m, s])\n", " pattern = re.compile(r\"\"\".+?([-0-9]+?).? ?([0-9]+?).? ?([\\.0-9]+?).? +?([NESW])\"\"\", re.I)\n", " text = pattern.sub(callback, text)\n", " return welly.utils.dms2dd([float(i) for i in text.split()])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Make sure that works!" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "45.20951027777778\n" ] } ], "source": [ "print(transform_ll(\"\"\"Lat = 45* 12' 34.237\" N\"\"\"))" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": true }, "outputs": [], "source": [ "remap = {\n", " 'LATI': 'LOC', # Use LOC for the parameter LATI.\n", " 'LONG': 'UWI', # Use UWI for the parameter LONG.\n", " 'LOC': None, # Use nothing for the parameter SECT.\n", " 'SECT': None, # Use nothing for the parameter SECT.\n", " 'RANG': None, # Use nothing for the parameter RANG.\n", " 'TOWN': None, # Use nothing for the parameter TOWN.\n", "}\n", "\n", "funcs = {\n", " 'LATI': transform_ll, # Pass LATI through this function before loading.\n", " 'LONG': transform_ll, # Pass LONG through it too.\n", " 'UWI': lambda x: \"No UWI, fix this!\"\n", "}" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": true }, "outputs": [], "source": [ "w = Well.from_las('../data/P-129.LAS', remap=remap, funcs=funcs)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(45.20951027777778, -62.243205555555555)" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w.location.latitude, w.location.longitude" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'No UWI, fix this!'" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "w.uwi" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's just hope the mess is the same mess in every well. (LOL, no-one's that lucky.)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "**© 2017 [agilescientific.com](https://www.agilescientific.com/) and licensed [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)**" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "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": "3.6.8" } }, "nbformat": 4, "nbformat_minor": 1 }