mynotebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_1.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_2.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_3.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_4.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_5.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_6.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_7.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_8.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_BHPR-GR-MECH_TIME_MWD_9.LAS\n",
      "31_5-7 Eos/05.LWD_Log_data/WL_RAW_GR-MECH_TIME_MWD_1.LAS\n",
      "31_5-7 Eos/07.Borehole_Seismic/TZV_DEPTH_MD_COMPUTED_2020-01-17_1.LAS\n",
      "31_5-7 Eos/07.Borehole_Seismic/TZV_TIME_SYNSEIS_2020-01-17_1.LAS\n",
      "31_5-7 Eos/07.Borehole_Seismic/TZV_TIME_SYNSEIS_2020-01-17_2.LAS\n",
      "31_5-7 Eos/07.Borehole_Seismic/TZV_TIME_SYNSEIS_2020-01-17_3.LAS\n",
      "31_5-7 Eos/07.Borehole_Seismic/TZV_TIME_SYNSEIS_2020-01-17_4.LAS\n",
      "31_5-7 Eos/07.Borehole_Seismic/VSPZO_COMPUTED_TIME_CS_2020-01-17_5.LAS\n",
      "31_5-7 Eos/13.Petrophysical_Data_Evaluations/CPI/WLC_PETRO_COMPUTED_INPUT_1.LAS\n",
      "31_5-7 Eos/13.Petrophysical_Data_Evaluations/CPI/WLC_PETRO_COMPUTED_OUTPUT_1.LAS\n"
     ]
    }
   ],
   "source": [
    "import mylastool\n",
    "import os\n",
    "\n",
    "container = mylastool.get_container()\n",
    "mylastool.print_list_of_lasfiles(container)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~Version Information\n",
      "VERS  .          2.0                              :CWLS Log Ascii Standard - Version 2.0\n",
      "WRAP  .          NO                               :One line per depth step\n",
      "~Well Information Block\n",
      "#MNEM.UNIT       Data Type                        Information\n",
      "#---------       ---------                        -------------------------------\n",
      "STRT  .S         1.84600                          :START DEPTH\n",
      "STOP  .S         2.56700                          :STOP DEPTH\n",
      "STEP  .S         0.00100                          :INCREMENT\n",
      "NULL  .          -999.25                          :NULL DATA VALUE\n",
      "COMP  .          Equinor                          :COMPANY\n",
      "WELL  .          31/5-7                           :WELL\n",
      "FLD   .          Eos                              :FIELD\n",
      "LOC   .                                           :LOCATION\n",
      "PROV  .                                           :PROVINCE\n",
      "STAT  .                                           :STATE\n",
      "CNTY  .                                           :COUNTY\n",
      "CTRY  .          Norway                           :COUNTRY\n",
      "DATE  .                                           :DATE\n",
      "UWI   .          31/5-7                           :UNIQUE WELL UWI\n",
      "LIC   .                                           :LICENSE NUMBER\n",
      "API   .                                           :API NUMBER\n",
      "SRVC  .                                           :SERVICE COMPANY\n",
      "~Parameter Information Block\n",
      "#MNEM.UNIT       Value                            Description\n",
      "#---------       ---------                        -------------\n",
      "XWELL .M         524299.53                        :X-coordinate of Well Head\n",
      "YWELL .M         6715849.60                       :Y-coordinate of Well Head\n",
      "~Curve Information Block\n",
      "#MNEM.UNIT       API Code                Curve    Description\n",
      "#--------        --------------          -----    -------------------\n",
      "Time      .S                             :0       Index TWT referred to MSL\n",
      "SREF_45Hz .                              :1       Zero Phase 45Hz Ricker Synthetic Seismogram (Convolved Reflection Data)\n",
      "SREF_35Hz .                              :2       Zero Phase 35Hz Ricker Synthetic Seismogram (Convolved Reflection Data)\n",
      "SREF_25Hz .                              :3       Zero Phase 25Hz Ricker Synthetic Seismogram (Convolved Reflection Data)\n",
      "SREF_20Hz .                              :4       Zero Phase 20Hz Ricker Synthetic Seismogram (Convolved Reflection Data)\n",
      "~Ascii Data Section\n",
      "    1.84600      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.84700      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.84800      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.84900      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85000      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85100      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85200      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85300      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85400      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85500      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85600      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85700      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85800      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    1.85900      -999.25000     -999.25000       0.00000        0.00000\n",
      "    1.86000      -999.25000     -999.25000       0.00000        0.00000\n",
      "    1.86100      -999.25000     -999.25000       0.00000        0.00001\n",
      "    1.86200      -999.25000     -999.25000       0.00000        0.00001\n",
      "    1.86300      -999.25000     -999.25000       0.00000        0.00001\n",
      "    1.86400      -999.25000     -999.25000       0.00000        0.00002\n",
      "    1.86500      -999.25000     -999.25000       0.00000        0.00003\n",
      "    1.86600      -999.25000     -999.25000       0.00000        0.00004\n",
      "    1.86700      -999.25000     -999.25000       0.00000        0.00005\n",
      "    1.86800      -999.25000     -999.25000       0.00000        0.00007\n",
      "    1.86900      -999.25000     -999.25000       0.00000        0.00009\n",
      "    1.87000      -999.25000     -999.25000       0.00000        0.00012\n",
      "    1.87100      -999.25000     -999.25000       0.00001        0.00015\n",
      "    1.87200      -999.25000     -999.25000       0.00001        0.00020\n",
      "    1.87300      -999.25000     -999.25000       0.00002        0.00026\n",
      "    1.87400      -999.25000       0.00000        0.00002        0.00033\n",
      "    1.87500      -999.25000       0.00000        0.00004        0.00041\n",
      "    1.87600      -999.25000       0.00000        0.00005        0.00052\n",
      "    1.87700      -999.25000       0.00000        0.00008        0.00064\n",
      "    1.87800      -999.25000       0.00000        0.00011        0.00078\n",
      "    1.87900      -999.25000       0.00000        0.00015        0.00095\n",
      "    1.88000      -999.25000       0.00000        0.00021        0.00113\n",
      "    1.88100        0.00000        0.00000        0.00028        0.00134\n",
      "    1.88200        0.00000        0.00001        0.00038        0.00157\n",
      "    1.88300        0.00000        0.00001        0.00050        0.00181\n",
      "    1.88400        0.00000        0.00002        0.00065        0.00207\n",
      "    1.88500        0.00000        0.00003        0.00083        0.00232\n",
      "    1.88600        0.00000        0.00006        0.00105        0.00257\n",
      "    1.88700        0.00000        0.00009        0.00131        0.00280\n",
      "    1.88800        0.00001        0.00014        0.00160        0.00300\n",
      "    1.88900        0.00001        0.00022        0.00192        0.00314\n",
      "    1.89000        0.00002        0.00032        0.00227        0.00320\n",
      "    1.89100        0.00004        0.00047        0.00263        0.00317\n",
      "    1.89200        0.00008        0.00067        0.00299        0.00301\n",
      "    1.89300        0.00014        0.00092        0.00332        0.00270\n",
      "    1.89400        0.00024        0.00124        0.00359        0.00223\n",
      "    1.89500        0.00039        0.00161        0.00376        0.00156\n",
      "    1.89600        0.00060        0.00204        0.00381        0.00068\n",
      "    1.89700        0.00089        0.00250        0.00368       -0.00042\n",
      "    1.89800        0.00124        0.00297        0.00333       -0.00175\n",
      "    1.89900        0.00166        0.00341        0.00272       -0.00330\n",
      "    1.90000        0.00212        0.00375        0.00182       -0.00507\n",
      "    1.90100        0.00258        0.00394        0.00061       -0.00703\n",
      "    1.90200        0.00299        0.00390       -0.00094       -0.00915\n",
      "    1.90300        0.00327        0.00355       -0.00282       -0.01138\n",
      "    1.90400        0.00335        0.00282       -0.00500       -0.01366\n",
      "    1.90500        0.00317        0.00166       -0.00742       -0.01593\n",
      "    1.90600        0.00262        0.00003       -0.01003       -0.01811\n",
      "    1.90700        0.00165       -0.00206       -0.01271       -0.02014\n",
      "    1.90800        0.00022       -0.00455       -0.01537       -0.02192\n",
      "    1.90900       -0.00169       -0.00736       -0.01786       -0.02338\n",
      "    1.91000       -0.00402       -0.01032       -0.02006       -0.02446\n",
      "    1.91100       -0.00663       -0.01325       -0.02182       -0.02509\n",
      "    1.91200       -0.00933       -0.01590       -0.02300       -0.02523\n",
      "    1.91300       -0.01186       -0.01803       -0.02351       -0.02485\n",
      "    1.91400       -0.01394       -0.01940       -0.02326       -0.02396\n",
      "    1.91500       -0.01530       -0.01980       -0.02220       -0.02259\n",
      "    1.91600       -0.01569       -0.01910       -0.02032       -0.02077\n",
      "    1.91700       -0.01494       -0.01725       -0.01767       -0.01858\n",
      "    1.91800       -0.01295       -0.01431       -0.01432       -0.01613\n",
      "    1.91900       -0.00974       -0.01042       -0.01039       -0.01353\n",
      "    1.92000       -0.00548       -0.00587       -0.00607       -0.01093\n",
      "    1.92100       -0.00053       -0.00097       -0.00154       -0.00848\n",
      "    1.92200        0.00458        0.00389        0.00296       -0.00632\n",
      "    1.92300        0.00920        0.00838        0.00721       -0.00461\n",
      "    1.92400        0.01270        0.01218        0.01095       -0.00347\n",
      "    1.92500        0.01462        0.01512        0.01395       -0.00302\n",
      "    1.92600        0.01479        0.01711        0.01597       -0.00332\n",
      "    1.92700        0.01339        0.01820        0.01680       -0.00442\n",
      "    1.92800        0.01095        0.01855        0.01629       -0.00629\n",
      "    1.92900        0.00817        0.01833        0.01430       -0.00886\n",
      "    1.93000        0.00581        0.01772        0.01077       -0.01198\n",
      "    1.93100        0.00445        0.01679        0.00571       -0.01549\n",
      "    1.93200        0.00441        0.01550       -0.00079       -0.01912\n",
      "    1.93300        0.00566        0.01363       -0.00852       -0.02258\n",
      "    1.93400        0.00787        0.01079       -0.01718       -0.02555\n",
      "    1.93500        0.01041        0.00647       -0.02632       -0.02768\n",
      "    1.93600        0.01239        0.00016       -0.03540       -0.02863\n",
      "    1.93700        0.01280       -0.00857       -0.04375       -0.02807\n",
      "    1.93800        0.01049       -0.01986       -0.05065       -0.02571\n",
      "    1.93900        0.00439       -0.03346       -0.05534       -0.02134\n",
      "    1.94000       -0.00631       -0.04859       -0.05706       -0.01483\n",
      "    1.94100       -0.02183       -0.06388       -0.05516       -0.00616\n",
      "    1.94200       -0.04151       -0.07741       -0.04914        0.00459\n",
      "    1.94300       -0.06344       -0.08686       -0.03874        0.01718\n",
      "    1.94400       -0.08443       -0.08985       -0.02399        0.03128\n",
      "    1.94500       -0.10014       -0.08422       -0.00522        0.04642\n",
      "    1.94600       -0.10574       -0.06853        0.01684        0.06204\n",
      "    1.94700       -0.09688       -0.04244        0.04115        0.07750\n",
      "    1.94800       -0.07096       -0.00698        0.06640        0.09213\n",
      "    1.94900       -0.02823        0.03533        0.09106        0.10524\n",
      "    1.95000        0.02753        0.08064        0.11351        0.11617\n",
      "    1.95100        0.08918        0.12419        0.13218        0.12432\n",
      "    1.95200        0.14728        0.16088        0.14568        0.12922\n",
      "    1.95300        0.19193        0.18605        0.15291        0.13051\n",
      "    1.95400        0.21486        0.19618        0.15318        0.12800\n",
      "    1.95500        0.21135        0.18949        0.14631        0.12166\n",
      "    1.95600        0.18132        0.16627        0.13258        0.11166\n",
      "    1.95700        0.12932        0.12891        0.11279        0.09832\n",
      "    1.95800        0.06357        0.08151        0.08814        0.08210\n",
      "    1.95900       -0.00579        0.02936        0.06015        0.06360\n",
      "    1.96000       -0.06873       -0.02185        0.03053        0.04351\n",
      "    1.96100       -0.11708       -0.06689        0.00101        0.02257\n",
      "    1.96200       -0.14584       -0.10158       -0.02680        0.00152\n",
      "    1.96300       -0.15361       -0.12337       -0.05149       -0.01892\n",
      "    1.96400       -0.14235       -0.13150       -0.07202       -0.03808\n",
      "    1.96500       -0.11652       -0.12696       -0.08771       -0.05540\n",
      "    1.96600       -0.08192       -0.11217       -0.09829       -0.07044\n",
      "    1.96700       -0.04453       -0.09048       -0.10386       -0.08288\n",
      "    1.96800       -0.00962       -0.06567       -0.10484       -0.09253\n",
      "    1.96900        0.01881       -0.04132       -0.10191       -0.09937\n",
      "    1.97000        0.03822       -0.02041       -0.09585       -0.10346\n",
      "    1.97100        0.04753       -0.00499       -0.08753       -0.10500\n",
      "    1.97200        0.04688        0.00402       -0.07777       -0.10428\n",
      "    1.97300        0.03757        0.00678       -0.06732       -0.10163\n",
      "    1.97400        0.02183        0.00441       -0.05679       -0.09744\n",
      "    1.97500        0.00259       -0.00129       -0.04667       -0.09211\n",
      "    1.97600       -0.01679       -0.00818       -0.03731       -0.08603\n",
      "    1.97700       -0.03302       -0.01416       -0.02896       -0.07956\n",
      "    1.97800       -0.04329       -0.01746       -0.02178       -0.07302\n",
      "    1.97900       -0.04572       -0.01698       -0.01589       -0.06664\n",
      "    1.98000       -0.03969       -0.01238       -0.01139       -0.06060\n",
      "    1.98100       -0.02593       -0.00423       -0.00837       -0.05498\n",
      "    1.98200       -0.00642        0.00621       -0.00688       -0.04980\n",
      "    1.98300        0.01580        0.01708       -0.00695       -0.04496\n",
      "    1.98400        0.03709        0.02631       -0.00855       -0.04033\n",
      "    1.98500        0.05367        0.03193       -0.01157       -0.03568\n",
      "    1.98600        0.06225        0.03243       -0.01574       -0.03075\n",
      "    1.98700        0.06062        0.02703       -0.02068       -0.02523\n",
      "    1.98800        0.04817        0.01585       -0.02587       -0.01883\n",
      "    1.98900        0.02621       -0.00010       -0.03064       -0.01124\n",
      "    1.99000       -0.00208       -0.01904       -0.03421       -0.00222\n",
      "    1.99100       -0.03217       -0.03866       -0.03578        0.00842\n",
      "    1.99200       -0.05900       -0.05651       -0.03455        0.02077\n",
      "    1.99300       -0.07806       -0.07028       -0.02982        0.03481\n",
      "    1.99400       -0.08648       -0.07815       -0.02106        0.05041\n",
      "    1.99500       -0.08366       -0.07893       -0.00800        0.06728\n",
      "    1.99600       -0.07138       -0.07213        0.00933        0.08502\n",
      "    1.99700       -0.05315       -0.05788        0.03055        0.10308\n",
      "    1.99800       -0.03306       -0.03683        0.05493        0.12083\n",
      "    1.99900       -0.01440       -0.00996        0.08138        0.13754\n",
      "    2.00000        0.00150        0.02148        0.10853        0.15242\n",
      "    2.00100        0.01569        0.05603        0.13480        0.16470\n",
      "    2.00200        0.03113        0.09193        0.15845        0.17363\n",
      "    2.00300        0.05128        0.12709        0.17780        0.17855\n",
      "    2.00400        0.07829        0.15900        0.19125        0.17892\n",
      "    2.00500        0.11143        0.18482        0.19750        0.17436\n",
      "    2.00600        0.14640        0.20157        0.19559        0.16470\n",
      "    2.00700        0.17598        0.20651        0.18507        0.14998\n",
      "    2.00800        0.19181        0.19762        0.16598        0.13047\n",
      "    2.00900        0.18690        0.17403        0.13894        0.10666\n",
      "    2.01000        0.15797        0.13642        0.10507        0.07923\n",
      "    2.01100        0.10675        0.08710        0.06598        0.04906\n",
      "    2.01200        0.03983        0.02994        0.02362        0.01715\n",
      "    2.01300       -0.03288       -0.03012       -0.01985       -0.01542\n",
      "    2.01400       -0.10059       -0.08765       -0.06220       -0.04751\n",
      "    2.01500       -0.15405       -0.13746       -0.10128       -0.07804\n",
      "    2.01600       -0.18737       -0.17531       -0.13523       -0.10597\n",
      "    2.01700       -0.19864       -0.19842       -0.16253       -0.13040\n",
      "    2.01800       -0.18948       -0.20577       -0.18214       -0.15060\n",
      "    2.01900       -0.16395       -0.19812       -0.19354       -0.16603\n",
      "    2.02000       -0.12728       -0.17779       -0.19672       -0.17635\n",
      "    2.02100       -0.08498       -0.14820       -0.19217       -0.18145\n",
      "    2.02200       -0.04224       -0.11334       -0.18077       -0.18144\n",
      "    2.02300       -0.00374       -0.07722       -0.16373       -0.17660\n",
      "    2.02400        0.02669       -0.04334       -0.14245       -0.16740\n",
      "    2.02500        0.04640       -0.01434       -0.11837       -0.15444\n",
      "    2.02600        0.05440        0.00822       -0.09294       -0.13842\n",
      "    2.02700        0.05172        0.02386       -0.06746       -0.12010\n",
      "    2.02800        0.04120        0.03308       -0.04302       -0.10026\n",
      "    2.02900        0.02695        0.03707       -0.02051       -0.07966\n",
      "    2.03000        0.01321        0.03740       -0.00053       -0.05902\n",
      "    2.03100        0.00335        0.03567        0.01652       -0.03899\n",
      "    2.03200       -0.00096        0.03328        0.03050       -0.02011\n",
      "    2.03300        0.00010        0.03120        0.04139       -0.00283\n",
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      "    2.07800       -0.00530       -0.00158        0.00027       -0.00024\n",
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      "    2.08000        0.00500        0.02211        0.01655        0.00975\n",
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      "    2.08300        0.04232        0.04671        0.03266        0.02090\n",
      "    2.08400        0.05343        0.04841        0.03459        0.02297\n",
      "    2.08500        0.05797        0.04588        0.03465        0.02408\n",
      "    2.08600        0.05330        0.03922        0.03294        0.02420\n",
      "    2.08700        0.03897        0.02910        0.02969        0.02338\n",
      "    2.08800        0.01713        0.01675        0.02519        0.02169\n",
      "    2.08900       -0.00782        0.00378        0.01981        0.01924\n",
      "    2.09000       -0.03045       -0.00809        0.01395        0.01617\n",
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      "    2.09400       -0.03194       -0.02216       -0.00767        0.00115\n",
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      "    2.14700       -0.00255       -0.02037       -0.02266        0.00322\n",
      "    2.14800       -0.00397       -0.02406       -0.02104        0.00787\n",
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      "    2.50900        0.00041        0.01108        0.00887        0.01987\n",
      "    2.51000       -0.01342        0.00112        0.00264        0.01219\n",
      "    2.51100       -0.02257       -0.00832       -0.00353        0.00483\n",
      "    2.51200       -0.02682       -0.01623       -0.00942       -0.00208\n",
      "    2.51300       -0.02693       -0.02197       -0.01481       -0.00846\n",
      "    2.51400       -0.02417       -0.02531       -0.01950       -0.01420\n",
      "    2.51500       -0.01989       -0.02637       -0.02334       -0.01925\n",
      "    2.51600       -0.01522       -0.02552       -0.02621       -0.02353\n",
      "    2.51700       -0.01093       -0.02328       -0.02808       -0.02703\n",
      "    2.51800       -0.00740       -0.02019       -0.02895       -0.02973\n",
      "    2.51900       -0.00474       -0.01675       -0.02891       -0.03163\n",
      "    2.52000       -0.00289       -0.01334       -0.02805       -0.03278\n",
      "    2.52100       -0.00167       -0.01023       -0.02654       -0.03322\n",
      "    2.52200       -0.00092       -0.00757       -0.02452       -0.03302\n",
      "    2.52300       -0.00048       -0.00542       -0.02216       -0.03225\n",
      "    2.52400       -0.00024       -0.00376       -0.01962       -0.03100\n",
      "    2.52500       -0.00012       -0.00252       -0.01703       -0.02936\n",
      "    2.52600       -0.00005       -0.00164       -0.01451       -0.02743\n",
      "    2.52700       -0.00002       -0.00104       -0.01213       -0.02528\n",
      "    2.52800       -0.00001       -0.00064       -0.00997       -0.02302\n",
      "    2.52900        0.00000       -0.00038       -0.00805       -0.02070\n",
      "    2.53000        0.00000       -0.00022       -0.00640       -0.01840\n",
      "    2.53100        0.00000       -0.00012       -0.00500       -0.01617\n",
      "    2.53200        0.00000       -0.00007       -0.00385       -0.01406\n",
      "    2.53300      -999.25000      -0.00004       -0.00291       -0.01209\n",
      "    2.53400      -999.25000      -0.00002       -0.00217       -0.01028\n",
      "    2.53500      -999.25000      -0.00001       -0.00159       -0.00866\n",
      "    2.53600      -999.25000       0.00000       -0.00115       -0.00721\n",
      "    2.53700      -999.25000       0.00000       -0.00082       -0.00595\n",
      "    2.53800      -999.25000       0.00000       -0.00058       -0.00486\n",
      "    2.53900      -999.25000       0.00000       -0.00040       -0.00393\n",
      "    2.54000      -999.25000     -999.25000      -0.00027       -0.00315\n",
      "    2.54100      -999.25000     -999.25000      -0.00018       -0.00249\n",
      "    2.54200      -999.25000     -999.25000      -0.00012       -0.00196\n",
      "    2.54300      -999.25000     -999.25000      -0.00008       -0.00152\n",
      "    2.54400      -999.25000     -999.25000      -0.00005       -0.00117\n",
      "    2.54500      -999.25000     -999.25000      -0.00003       -0.00090\n",
      "    2.54600      -999.25000     -999.25000      -0.00002       -0.00068\n",
      "    2.54700      -999.25000     -999.25000      -0.00001       -0.00051\n",
      "    2.54800      -999.25000     -999.25000      -0.00001       -0.00038\n",
      "    2.54900      -999.25000     -999.25000      -0.00001       -0.00028\n",
      "    2.55000      -999.25000     -999.25000       0.00000       -0.00020\n",
      "    2.55100      -999.25000     -999.25000       0.00000       -0.00015\n",
      "    2.55200      -999.25000     -999.25000       0.00000       -0.00011\n",
      "    2.55300      -999.25000     -999.25000       0.00000       -0.00008\n",
      "    2.55400      -999.25000     -999.25000       0.00000       -0.00005\n",
      "    2.55500      -999.25000     -999.25000     -999.25000      -0.00004\n",
      "    2.55600      -999.25000     -999.25000     -999.25000      -0.00002\n",
      "    2.55700      -999.25000     -999.25000     -999.25000      -0.00002\n",
      "    2.55800      -999.25000     -999.25000     -999.25000      -0.00001\n",
      "    2.55900      -999.25000     -999.25000     -999.25000      -0.00001\n",
      "    2.56000      -999.25000     -999.25000     -999.25000      -0.00001\n",
      "    2.56100      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    2.56200      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    2.56300      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    2.56400      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    2.56500      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    2.56600      -999.25000     -999.25000     -999.25000       0.00000\n",
      "    2.56700      -999.25000     -999.25000     -999.25000       0.00000\n"
     ]
    }
   ],
   "source": [
    "filename = '31_5-7 Eos/07.Borehole_Seismic/TZV_TIME_SYNSEIS_2020-01-17_2.LAS'\n",
    "lines = mylastool.read_lasfile(container, filename)\n",
    "print(*lines, sep='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1bd7a62760>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "values = []\n",
    "for row in mylastool.get_data_section(lines):\n",
    "    values.append([float(col) for col in row.split()])\n",
    "curves = list(zip(*values))\n",
    "#print(curves)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.plot(curves[0], curves[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1bd599fb20>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "curves = np.array(values).T\n",
    "curves = np.where(curves==-999.25, np.nan, curves)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.plot(curves[0], curves[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f1bc93127f0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import segyio\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "traces = []\n",
    "with segyio.open('VSPZO_RAW_2020-01-17_4.SEGY', strict=False) as f:\n",
    "    for trace in f.trace:\n",
    "        traces.append(list(trace))\n",
    "plt.imshow(traces, vmin=-0.01, vmax=0.01)\n"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "c422e5387290e04015316b366bc312214a2b941e8aaf542d7fc7025c0a2ec509"
  },
  "kernelspec": {
   "display_name": "Python 3.8.12 ('.venv': venv)",
   "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": "3.8.12"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}