2b:T45b,LICENSE = "mit" /* Copyright (c) 2018 by Justin Gosses https://github.com/justingosses Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */2c:[] 2a:{"title":"Upload well logs & convert LAS to JSON with server-side Wellio then visualize","cells":[{"id":86,"value":"md `# Upload well logs & convert LAS to JSON with server-side Wellio then visualize`","pinned":false,"hidden":false,"mode":"ojs"},{"id":18,"value":"vegalite({\n \"width\": 820,\n \"height\": 120,\n data: {values: GR},\n mark: \"line\",\n title:\"GR\",\n color:\"green\",\n encoding: {\n y: {field: \"curve\", type: \"quantitative\", axis: {\n \t// maxExtent:100,\n \t// minExtent:0,\n \t// orient:\"top\"\n \t}\n },\n x: {field: \"depth\", type: \"ordinal\", axis: {\n \tmaxExtent:110,\n \tminExtent:0\n \t// orient:\"left\"\n \t}\n },\n \"color\": {\n \"value\": \"green\"\n }\n }\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":49,"value":"vegalite({\n \"width\": 820,\n \"height\": 120,\n data: {values: CAL},\n title:\"CAL\",\n mark: \"line\",\n encoding: {\n y: {field: \"curve\", type: \"quantitative\", axis: {\n \t// maxExtent:100,\n \t// minExtent:0,\n \t}\n },\n x: {field: \"depth\", type: \"ordinal\", axis: {\n \tmaxExtent:110,\n \tminExtent:0,\n \t}\n },\n \"color\": {\n \"value\": \"brown\"\n }\n }\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":74,"value":"vegalite({\n \"width\": 820,\n \"height\": 120,\n data: {values: RESD},\n title:\"RESD\",\n mark: \"line\",\n encoding: {\n y: {field: \"curve\", type: \"quantitative\", axis: {\n \t// maxExtent:100,\n \t// minExtent:0,\n \t// orient:\"top\"\n \t}\n },\n x: {field: \"depth\", type: \"ordinal\", axis: {\n \tmaxExtent:110,\n \tminExtent:0,\n \t// orient:\"left\"\n \t}\n },\n \"color\": {\n \"value\": \"black\"\n }\n }\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":19,"value":"vegalite({\n \"width\": 820,\n \"height\": 120,\n data: {values: PHID},\n title:\"PHID\",\n mark: \"line\",\n encoding: {\n y: {field: \"curve\", type: \"quantitative\", axis: {\n \t// maxExtent:100,\n \t// minExtent:0,\n \t// orient:\"top\"\n \t}\n },\n x: {field: \"depth\", type: \"ordinal\", axis: {\n \tmaxExtent:110,\n \tminExtent:0,\n \t// orient:\"left\"\n \t}\n },\n \"color\": {\n \"value\": \"red\"\n }\n }\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":73,"value":"vegalite({\n \"width\": 820,\n \"height\": 120,\n data: {values: PHIN},\n title:\"PHIN\",\n mark: \"line\",\n encoding: {\n y: {field: \"curve\", type: \"quantitative\", axis: {\n \t// maxExtent:100,\n \t// minExtent:0,\n \t// orient:\"top\"\n \t}\n },\n x: {field: \"depth\", type: \"ordinal\", axis: {\n \tmaxExtent:110,\n \tminExtent:0,\n \t// orient:\"left\"\n \t}\n },\n \"color\": {\n \"value\": \"blue\"\n }\n }\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":122,"value":"md `### Geologic Well Logs are 1D physical measurements made at regular closely spaced points along a well bore.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":125,"value":"md `They are used extensively in geology to understand the subsurface and measure things like gamma-ray response, resisitivity (to electricity), different types of porosity measurements, and sonic (measuring the differet speed of sound as it moves through different rocks). Using combinations of these different measurements, geologists can make interpretations about the rocks and fluids that exist in the subsurface.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":128,"value":"md `----------------------`","pinned":false,"hidden":false,"mode":"ojs"},{"id":94,"value":"md `## This notebook replicates the functionality of the demo page for the wellio.js project, but in a form that is easier to play with and experiment!`","pinned":false,"hidden":false,"mode":"ojs"},{"id":406,"value":"md `----------------------`","pinned":false,"hidden":false,"mode":"ojs"},{"id":269,"value":"md `# Load Libraries`","pinned":false,"hidden":false,"mode":"ojs"},{"id":92,"value":"md `#### D3.js is used here to get other things mostly at this point but it could be used for additional visualizations.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":0,"value":"d3 = require(\"https://d3js.org/d3.v5.min.js\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":104,"value":"md `#### The Vega library is being used to make the log plots.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":16,"value":"vegalite = require(\"@observablehq/vega-lite@0.1\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":858,"value":"md `#### The wellio.js library is being used to convert the LAS file into json format so we can work with it in JavaScript. It also has functions to retrieve various information from the well once in JavaScript. We're calling it from a npm cdn unpkg.com here. There is also a npm page, and a github page.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":855,"value":"wellio = require(\"wellio\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":89,"value":"md `-----------------------------------`","pinned":false,"hidden":false,"mode":"ojs"},{"id":265,"value":"md `# Functions for manipulating data into a form that is easier for the data visualization`","pinned":false,"hidden":false,"mode":"ojs"},{"id":99,"value":"md `#### The convertCurveArToObj() function takes a single curve array from the wellio.js style json object \"well_log_json\" and converts it and the depth array into an easier to consume json for the Vega data visualization library.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":5,"value":"function convertCurveArToObj(well_log_json,CurveName,UWI){\n let depth = well_log_json[\"CURVES\"][\"DEPTH\"]\n let curve = well_log_json[\"CURVES\"][CurveName]\n let array_of_obj = []\n if (depth.length === curve.length){\n for(let eachPt in curve){\n let obj = {}\n obj[\"depth\"] = depth[eachPt]\n obj[\"curve\"] = curve[eachPt]\n obj[\"curveName\"] = CurveName\n obj[\"UWI\"] = UWI\n array_of_obj.push(obj)\n }\n }\n else{\n \tconsole.log(\"depth didn't match curve length\")\n }\n return array_of_obj\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":101,"value":"md `#### The cells below are function calls to convertCurveArToObj() function. They return a json for the Vega visualizations for each curve.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":12,"value":"GR = convertCurveArToObj(well_log_json, \"GR\", well_log_json[\"WELL INFORMATION BLOCK\"][\"UWI\"][\"DATA\"])","pinned":false,"hidden":false,"mode":"ojs"},{"id":63,"value":"CAL = convertCurveArToObj(well_log_json, \"CAL\", well_log_json[\"WELL INFORMATION BLOCK\"][\"UWI\"][\"DATA\"])","pinned":false,"hidden":false,"mode":"ojs"},{"id":45,"value":"PHID = convertCurveArToObj(well_log_json, \"PHID\", well_log_json[\"WELL INFORMATION BLOCK\"][\"UWI\"][\"DATA\"])","pinned":false,"hidden":false,"mode":"ojs"},{"id":64,"value":"PHIN = convertCurveArToObj(well_log_json, \"PHIN\", well_log_json[\"WELL INFORMATION BLOCK\"][\"UWI\"][\"DATA\"])","pinned":false,"hidden":false,"mode":"ojs"},{"id":71,"value":"RESD = convertCurveArToObj(well_log_json, \"RESD\", well_log_json[\"WELL INFORMATION BLOCK\"][\"UWI\"][\"DATA\"])","pinned":false,"hidden":false,"mode":"ojs"},{"id":357,"value":"md `--------------------------------------------`","pinned":false,"hidden":false,"mode":"ojs"},{"id":80,"value":"md `# LOADING IN A WELL`","pinned":false,"hidden":false,"mode":"ojs"},{"id":349,"value":"md `Well logs are stored in a standard file type called LAS. This is different from the LAS file type that LIDAR data is sometimes stored in and has the same name.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":351,"value":"md `For this demo, we'll load well logs two ways. `","pinned":false,"hidden":false,"mode":"ojs"},{"id":310,"value":"md `## Option A. - Use this LAS file already converted to a json for you.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":3,"value":"well_log_json = d3.json(\"https://cdn.rawgit.com/JustinGOSSES/c643e25774aea39556799cc517654d46/raw/db70839e481551dcbadb509fb75c68e3c099de71/00_01-01-073-05W5_0.json\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":873,"value":"UWI = wellio.UWI(well_log_json)","pinned":true,"hidden":false,"mode":"ojs"},{"id":826,"value":"CurveNames = wellio.CurveNames(well_log_json)","pinned":true,"hidden":false,"mode":"ojs"},{"id":828,"value":"","pinned":true,"hidden":false,"mode":"ojs"},{"id":392,"value":"md `## Option B. - Upload your own LAS files and convert them to json`","pinned":false,"hidden":false,"mode":"ojs"},{"id":284,"value":"md `The advantage of the file uploader is you can work with any well logs you might have on your local computer without needing to use a proprietary software or start a jupyter notebook running python. The file will initally upload as a \"file\" variable.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":251,"value":"viewof file = DOM.input(\"file\") // Try opening a file.","pinned":false,"hidden":false,"mode":"ojs"},{"id":362,"value":"md `we use a file buffer to make it available`","pinned":false,"hidden":false,"mode":"ojs"},{"id":291,"value":"Files.buffer(file)","pinned":true,"hidden":false,"mode":"ojs"},{"id":364,"value":"md `Then call the wellio.las2json function to convert it from LAS text file to a Wellio.js json. We'll call the json that returns \"well_log_json2\" here. \n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":259,"value":"well_log_json2 = wellio.las2json(file_1)","pinned":true,"hidden":false,"mode":"ojs"},{"id":342,"value":"md `To switch this well log out for the one in Option A and see it in the visualizations, rename \"well_log_json2\" to just \"well_log_json\" and rename the other to something else. Everything should update\".`","pinned":false,"hidden":false,"mode":"ojs"},{"id":312,"value":"md `If you don't have any well logs on your local computer, you can download a few here.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":400,"value":"md `#### Speaking of updates:`","pinned":false,"hidden":false,"mode":"ojs"},{"id":261,"value":"md `It should be noted that because not all well logs have the same curves, some of the curve names will be red and not work for certain wells. Eventually we should probably write a function that looks for what curves are present and generates a single visualization of those curves.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":403,"value":"md `### For reference, this is what the original LAS files looks like as text`","pinned":false,"hidden":false,"mode":"ojs"},{"id":808,"value":"md `(Nothing will be printed below until a LAS file is uploaded)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":293,"value":"file_1 = Files.text(file)","pinned":false,"hidden":false,"mode":"ojs"},{"id":940,"value":"$2b","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W2c","stdlib":"1","titling":"auto"}