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@kinverarity1
Last active September 5, 2018 03:45
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{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"7023-7452_caliper_down_CAL8_2017-11-23_101634.csv.las\n",
"\tDEPT\n",
"\tV1 DIAMETER\n",
"\tDIAMETER\n",
"7023-7452_caliper_up_CAL8_2017-11-23_104349.csv.las\n",
"\tDEPT\n",
"\tV1 DIAMETER\n",
"\tDIAMETER\n",
"7023-7452_gamma_neutron_down_G9N9+AmBe_2017-11-23_110143.csv.las\n",
"\tDEPT\n",
"\tV1 HE3 DETECTOR (NEUTRON)\n",
"\tV2 NAI DETECTOR (GAMMA)\n",
"\tV3 ELECTRODE\n",
"\tV4 ELECTRODE\n",
"\tGAMMA\n",
"\tNEUTRON\n",
"7023-7452_gamma_neutron_up_G9N9+AmBe_2017-11-23_110735.csv.las\n",
"\tDEPT\n",
"\tV1 HE3 DETECTOR (NEUTRON)\n",
"\tV2 NAI DETECTOR (GAMMA)\n",
"\tV3 ELECTRODE\n",
"\tV4 ELECTRODE\n",
"\tGAMMA\n",
"\tNEUTRON\n"
]
}
],
"source": [
"import glob\n",
"import lasio\n",
"\n",
"for fn in glob.glob('*.las'):\n",
" las = lasio.read(fn, ignore_data=True)\n",
" mnemonics = [c.mnemonic for c in las.curves]\n",
" print(fn + '\\n\\t' + '\\n\\t'.join(mnemonics))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"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": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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