{"title":"根据电磁探测和实验室测量,岩石热物理特性构造","authors":"В. В. Спичак, А.Г. Гойдина, О.К. Захарова","doi":"10.15372/gig2022126","DOIUrl":null,"url":null,"abstract":"Feasibility studies aimed at building of the thermal conductivity and specific heat capacity as well as heat flow density at the surface are carried out. It is shown that neural network forecast of the thermo-physical properties from electromagnetic sound data and laboratory measurements on the rock samples enables estimating these properties not only below the boreholes but also in the interwell space with relative accuracy around 6-10% depending on the ratio between the volumes of training and forecasted data. Sections of “dry” and “warm” thermal conductivity, specific heat capacity and a profile of the heat flow density at the surface of the study area are built along mgnetotelluric sounding profile.","PeriodicalId":24045,"journal":{"name":"Геология и геофизика","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ПОСТРОЕНИЕ РАЗРЕЗОВ ТЕПЛОФИЗИЧЕСКИХ СВОЙСТВ ПОРОД ПО ДАННЫМ ЭЛЕКТРОМАГНИТНЫХ ЗОНДИРОВАНИЙ И ЛАБОРАТОРНЫХ ИЗМЕРЕНИЙ\",\"authors\":\"В. В. Спичак, А.Г. Гойдина, О.К. Захарова\",\"doi\":\"10.15372/gig2022126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Feasibility studies aimed at building of the thermal conductivity and specific heat capacity as well as heat flow density at the surface are carried out. It is shown that neural network forecast of the thermo-physical properties from electromagnetic sound data and laboratory measurements on the rock samples enables estimating these properties not only below the boreholes but also in the interwell space with relative accuracy around 6-10% depending on the ratio between the volumes of training and forecasted data. Sections of “dry” and “warm” thermal conductivity, specific heat capacity and a profile of the heat flow density at the surface of the study area are built along mgnetotelluric sounding profile.\",\"PeriodicalId\":24045,\"journal\":{\"name\":\"Геология и геофизика\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Геология и геофизика\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15372/gig2022126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Геология и геофизика","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15372/gig2022126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ПОСТРОЕНИЕ РАЗРЕЗОВ ТЕПЛОФИЗИЧЕСКИХ СВОЙСТВ ПОРОД ПО ДАННЫМ ЭЛЕКТРОМАГНИТНЫХ ЗОНДИРОВАНИЙ И ЛАБОРАТОРНЫХ ИЗМЕРЕНИЙ
Feasibility studies aimed at building of the thermal conductivity and specific heat capacity as well as heat flow density at the surface are carried out. It is shown that neural network forecast of the thermo-physical properties from electromagnetic sound data and laboratory measurements on the rock samples enables estimating these properties not only below the boreholes but also in the interwell space with relative accuracy around 6-10% depending on the ratio between the volumes of training and forecasted data. Sections of “dry” and “warm” thermal conductivity, specific heat capacity and a profile of the heat flow density at the surface of the study area are built along mgnetotelluric sounding profile.