32:[] 30:{"title":"1st try converting well log data into audio - not very successful","cells":[{"id":0,"value":"md`# 1st try converting well log data into audio - not very successful`","pinned":false,"hidden":false,"mode":"ojs"},{"id":13,"value":"md `## This is a quick fork of a notebook by Dylan Fredman, who has a lot more interesting notebooks on sound, like this one and this one.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":53,"value":"md `#### This is just taking some of the things he built and quickly throwing in well log data to see what the result might be.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":336,"value":"md `I don't think I came up with anything useful. A different approach would seems required to be useful. Also, the larger question might be \"what data attributes are better detected by sound than visual quantities?\" I'm really not sure?`","pinned":false,"hidden":false,"mode":"ojs"},{"id":330,"value":"md `#### If you want to see first steps with a python-based approach, I previously talked @y3l2n into doing this python-based well log music repo.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":103,"value":"md `## Two ways to sonify a well log`","pinned":false,"hidden":false,"mode":"ojs"},{"id":102,"value":"md `I manipulated the well log below to be between 0 and 1 and made it last long enough to hear variations by duplicating each point value a certain number of times in a row using the \"speed_var\" variable.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":67,"value":"Title('GR2 from 00/01-01-073-05W5/0', PlayData(GR2,1))","pinned":false,"hidden":false,"mode":"ojs"},{"id":294,"value":"md `The one below is similar to the one above but uses the DataDiff() function to sonify where larger changes occur. The scale of which is limited by the \"min_jump\" variable.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":239,"value":"Title('GR4 from 00/01-01-073-05W5/0', PlayData(GR4,1))","pinned":false,"hidden":false,"mode":"ojs"},{"id":320,"value":"md `## Control Widgets`","pinned":false,"hidden":false,"mode":"ojs"},{"id":296,"value":"md `\"Duplication_mod\" seems to be best at 1. Greater than that and you are repeating the curve.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":104,"value":"viewof duplication_mod = DOM.range(\n 1, // min\n 10, // max\n 1 // step\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":154,"value":"duplication_mod","pinned":false,"hidden":false,"mode":"ojs"},{"id":362,"value":"md `\"center_adjust\" scales GR2 but doesn't affect GR4`","pinned":false,"hidden":false,"mode":"ojs"},{"id":90,"value":"viewof center_adjust = html``","pinned":false,"hidden":false,"mode":"ojs"},{"id":215,"value":"center_adjust","pinned":false,"hidden":false,"mode":"ojs"},{"id":93,"value":"viewof speed_var = DOM.range(\n 0, // min\n 1000, // max\n 50 // step\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":156,"value":"speed_var","pinned":false,"hidden":false,"mode":"ojs"},{"id":347,"value":"viewof min_jump = DOM.range(\n 0, // min\n 0.1, // max\n 0.01 // step\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":350,"value":"min_jump","pinned":false,"hidden":false,"mode":"ojs"},{"id":299,"value":"md `## Same GR Curve data manipulated in different ways`","pinned":false,"hidden":false,"mode":"ojs"},{"id":65,"value":"GR = well_log_json[\"CURVES\"][\"GR\"].map(val => (center_adjust/50) + val / 100 * -1)","pinned":false,"hidden":false,"mode":"ojs"},{"id":143,"value":"GR2 = extendData(GR,speed_var)","pinned":false,"hidden":false,"mode":"ojs"},{"id":232,"value":"GR3 = DataDiff2(GR,min_jump)","pinned":false,"hidden":false,"mode":"ojs"},{"id":235,"value":"GR4 = extendData(GR3,speed_var)","pinned":false,"hidden":false,"mode":"ojs"},{"id":301,"value":"md `## Functions`","pinned":false,"hidden":false,"mode":"ojs"},{"id":45,"value":"function PlayData(dataset) {\n return Play((t) => dataset[Math.floor(t * ctx.sampleRate) % dataset.length], dataset.length / ctx.sampleRate*duplication_mod);\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":141,"value":"function extendData(curve, multi){\n\tlet new_curve = [];\n for (let point in curve){\n \tlet i = 0\n \twhile (i < multi) {\n \t\tnew_curve.push(curve[point])\n \ti++;\n\t\t}\n }\n return new_curve\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":6,"value":"function DataDiff(data) {\n const results = [];\n for (let i = 1; i <= data.length; i++) {\n if (data[i] > data[i - 1]) {\n results.push(1);\n } else if (data[i] < data[i - 1]) {\n results.push(-1);\n } else {\n results.push(0);\n }\n }\n return results;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":343,"value":"function DataDiff2(data,min_jump) {\n const results = [];\n for (let i = 1; i <= data.length; i++) {\n if (data[i] > min_jump+data[i - 1] ) {\n results.push(1);\n } else if (min_jump+data[i] < data[i - 1]) {\n results.push(-1);\n } else {\n results.push(0);\n }\n }\n return results;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":303,"value":"md `## Data & Library imports`","pinned":false,"hidden":false,"mode":"ojs"},{"id":61,"value":"well_log_json = d3.json(\"https://cdn.rawgit.com/JustinGOSSES/c643e25774aea39556799cc517654d46/raw/db70839e481551dcbadb509fb75c68e3c099de71/00_01-01-073-05W5_0.json\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":63,"value":"d3 = require(\"https://d3js.org/d3.v5.min.js\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":10,"value":"import {Play, Title, ctx} from '@freedmand/sounds'","pinned":false,"hidden":false,"mode":"ojs"},{"id":35,"value":"","pinned":false,"hidden":false,"mode":"ojs"},{"id":4,"value":"","pinned":false,"hidden":false,"mode":"ojs"},{"id":339,"value":"","pinned":false,"hidden":false,"mode":"ojs"},{"id":55,"value":"","pinned":false,"hidden":false,"mode":"ojs"},{"id":24,"value":"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W32","stdlib":"1","titling":"auto"}