Variography analysis on the assessment of coal deposit quality using the ordinary kriging method

The coal quality estimate aims to determine a value for coal quality that may be utilized as a control procedure in coal mining. In estimation activities, it used an Ordinary Kriging (OK) interpolation technique that could estimate the value at unknown locations based on proximity to the location of...

Full description

Saved in:
Bibliographic Details
Main Authors: Faidatulaila, Rachmaputri, Marwanza, Irfan, Purwiyono, Taat Tri
Format: Conference Proceeding
Language:English
Subjects:
Coal
Coal mining
Errors
Moisture effects
Prediction models
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 1
container_start_page
container_title
container_volume 2598
creator Faidatulaila, Rachmaputri
Marwanza, Irfan
Purwiyono, Taat Tri
description The coal quality estimate aims to determine a value for coal quality that may be utilized as a control procedure in coal mining. In estimation activities, it used an Ordinary Kriging (OK) interpolation technique that could estimate the value at unknown locations based on proximity to the location of the sample. A variogram was required to determine the sample search distance in assessing points or blocks that did not have data in this interpolation. Proper analysis in the determination of the variogram model would significantly affect the results of estimation using the Kriging method. The variography analysis of the determination of the variogram model was based on the smallest of Mean Absolute Percentage Error (MAPE) value. The variogram model was used to estimate the Ordinary Kriging total moisture coal was exponential with an error of 6%. The ash content was a spherical model with a 46% error, the total Sulphur was an exponential model with a 46% error, and the caloric value was a Gaussian model with a 3.1% error. With a MAPE value of
doi_str_mv 10.1063/5.0126896
format conference_proceeding
fullrecord <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_scitation_primary_10_1063_5_0126896</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2824982394</sourcerecordid><originalsourceid>FETCH-LOGICAL-p133t-7f345c7dd3a5aa88f8337440340f0b4266374d018a36cce77560a72865d6ab23</originalsourceid><addsrcrecordid>eNotkEtLw0AUhQdRsFYX_oMBd0LqvGeylOILCm6KuIu3ySSdmmbSmcki_97UdnU4h4_DvQehe0oWlCj-JBeEMmVydYFmVEqaaUXVJZoRkouMCf59jW5i3BHCcq3NDP18QXC-CdBvRwwdtGN0EfsOp63FEKONcW-7hH2NSw8trmzvo0v4MEDr0oiH6LrmH_ahch2EEf8G1xzDvU1bX92iqxraaO_OOkfr15f18j1bfb59LJ9XWU85T5muuZClrioOEsCY2nCuhSBckJpsBFNqshWhBrgqS6u1VAQ0M0pWCjaMz9HDqbYP_jDYmIqdH8L0TyyYYSI3jOdioh5PVCxdguR8V_TB7aerC0qK44CFLM4D8j96b2Lk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2824982394</pqid></control><display><type>conference_proceeding</type><title>Variography analysis on the assessment of coal deposit quality using the ordinary kriging method</title><source>American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)</source><creator>Faidatulaila, Rachmaputri ; Marwanza, Irfan ; Purwiyono, Taat Tri</creator><contributor>Pasang, Timotius ; Tabelin, Carlito ; Rizkianto, Yody ; Ugurly, Omer Faruk ; Riswandi, Herry ; Lusantono, Oktarian Wisnu ; Igarashi, Toshifumi</contributor><creatorcontrib>Faidatulaila, Rachmaputri ; Marwanza, Irfan ; Purwiyono, Taat Tri ; Pasang, Timotius ; Tabelin, Carlito ; Rizkianto, Yody ; Ugurly, Omer Faruk ; Riswandi, Herry ; Lusantono, Oktarian Wisnu ; Igarashi, Toshifumi</creatorcontrib><description>The coal quality estimate aims to determine a value for coal quality that may be utilized as a control procedure in coal mining. In estimation activities, it used an Ordinary Kriging (OK) interpolation technique that could estimate the value at unknown locations based on proximity to the location of the sample. A variogram was required to determine the sample search distance in assessing points or blocks that did not have data in this interpolation. Proper analysis in the determination of the variogram model would significantly affect the results of estimation using the Kriging method. The variography analysis of the determination of the variogram model was based on the smallest of Mean Absolute Percentage Error (MAPE) value. The variogram model was used to estimate the Ordinary Kriging total moisture coal was exponential with an error of 6%. The ash content was a spherical model with a 46% error, the total Sulphur was an exponential model with a 46% error, and the caloric value was a Gaussian model with a 3.1% error. With a MAPE value of &lt;50%, the capabilities of the prediction model were to be good or worth using.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0126896</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Coal ; Coal mining ; Errors ; Moisture effects ; Prediction models</subject><ispartof>AIP conference proceedings, 2023, Vol.2598 (1)</ispartof><rights>Author(s)</rights><rights>2023 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925</link.rule.ids></links><search><contributor>Pasang, Timotius</contributor><contributor>Tabelin, Carlito</contributor><contributor>Rizkianto, Yody</contributor><contributor>Ugurly, Omer Faruk</contributor><contributor>Riswandi, Herry</contributor><contributor>Lusantono, Oktarian Wisnu</contributor><contributor>Igarashi, Toshifumi</contributor><creatorcontrib>Faidatulaila, Rachmaputri</creatorcontrib><creatorcontrib>Marwanza, Irfan</creatorcontrib><creatorcontrib>Purwiyono, Taat Tri</creatorcontrib><title>Variography analysis on the assessment of coal deposit quality using the ordinary kriging method</title><title>AIP conference proceedings</title><description>The coal quality estimate aims to determine a value for coal quality that may be utilized as a control procedure in coal mining. In estimation activities, it used an Ordinary Kriging (OK) interpolation technique that could estimate the value at unknown locations based on proximity to the location of the sample. A variogram was required to determine the sample search distance in assessing points or blocks that did not have data in this interpolation. Proper analysis in the determination of the variogram model would significantly affect the results of estimation using the Kriging method. The variography analysis of the determination of the variogram model was based on the smallest of Mean Absolute Percentage Error (MAPE) value. The variogram model was used to estimate the Ordinary Kriging total moisture coal was exponential with an error of 6%. The ash content was a spherical model with a 46% error, the total Sulphur was an exponential model with a 46% error, and the caloric value was a Gaussian model with a 3.1% error. With a MAPE value of &lt;50%, the capabilities of the prediction model were to be good or worth using.</description><subject>Coal</subject><subject>Coal mining</subject><subject>Errors</subject><subject>Moisture effects</subject><subject>Prediction models</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotkEtLw0AUhQdRsFYX_oMBd0LqvGeylOILCm6KuIu3ySSdmmbSmcki_97UdnU4h4_DvQehe0oWlCj-JBeEMmVydYFmVEqaaUXVJZoRkouMCf59jW5i3BHCcq3NDP18QXC-CdBvRwwdtGN0EfsOp63FEKONcW-7hH2NSw8trmzvo0v4MEDr0oiH6LrmH_ahch2EEf8G1xzDvU1bX92iqxraaO_OOkfr15f18j1bfb59LJ9XWU85T5muuZClrioOEsCY2nCuhSBckJpsBFNqshWhBrgqS6u1VAQ0M0pWCjaMz9HDqbYP_jDYmIqdH8L0TyyYYSI3jOdioh5PVCxdguR8V_TB7aerC0qK44CFLM4D8j96b2Lk</recordid><startdate>20230612</startdate><enddate>20230612</enddate><creator>Faidatulaila, Rachmaputri</creator><creator>Marwanza, Irfan</creator><creator>Purwiyono, Taat Tri</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20230612</creationdate><title>Variography analysis on the assessment of coal deposit quality using the ordinary kriging method</title><author>Faidatulaila, Rachmaputri ; Marwanza, Irfan ; Purwiyono, Taat Tri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p133t-7f345c7dd3a5aa88f8337440340f0b4266374d018a36cce77560a72865d6ab23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Coal</topic><topic>Coal mining</topic><topic>Errors</topic><topic>Moisture effects</topic><topic>Prediction models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Faidatulaila, Rachmaputri</creatorcontrib><creatorcontrib>Marwanza, Irfan</creatorcontrib><creatorcontrib>Purwiyono, Taat Tri</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Faidatulaila, Rachmaputri</au><au>Marwanza, Irfan</au><au>Purwiyono, Taat Tri</au><au>Pasang, Timotius</au><au>Tabelin, Carlito</au><au>Rizkianto, Yody</au><au>Ugurly, Omer Faruk</au><au>Riswandi, Herry</au><au>Lusantono, Oktarian Wisnu</au><au>Igarashi, Toshifumi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Variography analysis on the assessment of coal deposit quality using the ordinary kriging method</atitle><btitle>AIP conference proceedings</btitle><date>2023-06-12</date><risdate>2023</risdate><volume>2598</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>The coal quality estimate aims to determine a value for coal quality that may be utilized as a control procedure in coal mining. In estimation activities, it used an Ordinary Kriging (OK) interpolation technique that could estimate the value at unknown locations based on proximity to the location of the sample. A variogram was required to determine the sample search distance in assessing points or blocks that did not have data in this interpolation. Proper analysis in the determination of the variogram model would significantly affect the results of estimation using the Kriging method. The variography analysis of the determination of the variogram model was based on the smallest of Mean Absolute Percentage Error (MAPE) value. The variogram model was used to estimate the Ordinary Kriging total moisture coal was exponential with an error of 6%. The ash content was a spherical model with a 46% error, the total Sulphur was an exponential model with a 46% error, and the caloric value was a Gaussian model with a 3.1% error. With a MAPE value of &lt;50%, the capabilities of the prediction model were to be good or worth using.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0126896</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0094-243X
ispartof AIP conference proceedings, 2023, Vol.2598 (1)
issn 0094-243X
1551-7616
language eng
recordid cdi_scitation_primary_10_1063_5_0126896
source American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)
subjects Coal
Coal mining
Errors
Moisture effects
Prediction models
title Variography analysis on the assessment of coal deposit quality using the ordinary kriging method
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T04%3A21%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Variography%20analysis%20on%20the%20assessment%20of%20coal%20deposit%20quality%20using%20the%20ordinary%20kriging%20method&rft.btitle=AIP%20conference%20proceedings&rft.au=Faidatulaila,%20Rachmaputri&rft.date=2023-06-12&rft.volume=2598&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/5.0126896&rft_dat=%3Cproquest_scita%3E2824982394%3C/proquest_scita%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p133t-7f345c7dd3a5aa88f8337440340f0b4266374d018a36cce77560a72865d6ab23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2824982394&rft_id=info:pmid/&rfr_iscdi=true