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Leveraging detailed petrophysical datasets from 128 hydrocarbon exploration wells within the Szolnok Formation in southern Hungary, the developed machine-learning workflow—combining XGBoost regression and spatial residual correction—accurately delineated permeable channel systems suitable for thermal energy injection and extraction. The model achieved robust predictive performance (R2 = 0.92; RMSE = 0.24), and correlation analyses confirmed significant relationships between predicted channels and sand content and shale content. Clearly identified high-permeability channel zones facilitated strategic well placement, significantly reducing the risk of premature thermal breakthrough and enhancing the reliability and efficiency of UTES operations. true 2025 true true true false true false GOLD 2026-05-01 true http://publicatio.bibl.u-szeged.hu/37666 2 0 2 1 1 2 2 2 1 2 2 1 1 1 1 0 2 1 2 1 0 18 18 Folyóiratcikk Journal Article 24 2 Könyvrészlet Chapter in Book 25 0 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2026 0 2 1 2 1 Q1 C nemzetközi false false false false 2025-09-06T15:32:31.860+0000 Geológia Tanszék (SZTE / TTIK / FFI); Légkör- és Téradattudomány Tanszék (SZTE / TTIK / FFI) 5 17 2 6 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 127695971 /api/authorship/127695971 1 0.167 true false true Author 10096480 /api/author/10096480 Abdulhaq Hawkar true true Abdulhaq Hawkar Ali true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 127695972 /api/authorship/127695972 2 0.167 false false false Author 10001811 /api/author/10001811 Geiger János true 10001811 true Geiger János true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 127695973 /api/authorship/127695973 3 0.16666667 false false false Vass István true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 127695974 /api/authorship/127695974 4 0.167 false false true Author 10001322 /api/author/10001322 M. 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mtid="10096480"><a href="/gui2/?type=authors&mode=browse&sel=10096480" target="_blank">Abdulhaq Hawkar Ali ✉ (<span class="authorship-author-name">Abdulhaq Hawkar</span> <span class="authorAux-mtmt"> Geothermal Energy, Machine Learning, and Ground...</span>) </a> </span> <span class="author-affil"><span title="Szegedi Tudományegyetem">SZTE</span>/<span title="Természettudományi és Informatikai Kar">TTIK</span>/<span title="Földrajz- és Földtudományi Intézet">FFI</span>/Geológia Tanszék; <span title="Szegedi Tudományegyetem">SZTE</span>/<span title="Természettudományi és Informatikai Kar">TTIK</span>/<span title="Földrajz- és Földtudományi Intézet">FFI</span>/Légkör- és Téradattudomány Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10001811"><a href="/gui2/?type=authors&mode=browse&sel=10001811" target="_blank">Geiger János (<span class="authorship-author-name">Geiger János</span> <span class="authorAux-mtmt"> Geostatisztika, szedimentológia</span>) </a> </span> <span class="author-affil"><span title="Szegedi Tudományegyetem">SZTE</span>/<span title="Természettudományi és Informatikai Kar">TTIK</span>/<span title="Földrajz- és Földtudományi Intézet">FFI</span>/Geológia Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Vass István </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10001322"><a href="/gui2/?type=authors&mode=browse&sel=10001322" target="_blank">Tóth Tivadar M. ✉ (<span class="authorship-author-name">M. Tóth Tivadar</span> <span class="authorAux-mtmt"> Kőzettan</span>) </a> </span> <span class="author-affil"><span title="Szegedi Tudományegyetem">SZTE</span>/<span title="Természettudományi és Informatikai Kar">TTIK</span>/<span title="Földrajz- és Földtudományi Intézet">FFI</span>/Geológia Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10029355"><a href="/gui2/?type=authors&mode=browse&sel=10029355" target="_blank">Bozsó Gábor (<span class="authorship-author-name">Bozsó Gábor</span> <span class="authorAux-mtmt"> Geokémia</span>) </a> </span> <span class="author-affil"><span title="Szegedi Tudományegyetem">SZTE</span>/<span title="Természettudományi és Informatikai Kar">TTIK</span>/<span title="Földrajz- és Földtudományi Intézet">FFI</span>/Geológia Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10011892"><a href="/gui2/?type=authors&mode=browse&sel=10011892" target="_blank">Szanyi János (<span class="authorship-author-name">Szanyi János</span> <span class="authorAux-mtmt"> Hidrogeológia</span>) </a> </span> <span class="author-affil"><span title="Szegedi Tudományegyetem">SZTE</span>/<span title="Természettudományi és Informatikai Kar">TTIK</span>/<span title="Földrajz- és Földtudományi Intézet">FFI</span>/Geológia Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36312523" target="_blank">A Data-Driven ML Model for Sand Channel Prediction from Well Logs for UTES Site Optimization and Thermal Breakthrough Prevention: Hungary Case Study</a></div> <div> <span class="journal-title">ENERGIES</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1996-1073">1996-1073</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1996-1073">1996-1073</a>)</span>: <span class="journal-volume">18</span> <span class="journal-issue">16</span> <span class="page"> Paper 4230. 26 p. </span> <span class="year">(2025)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.3390/en18164230" target="_blank" href="https://doi.org/10.3390/en18164230"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.20944/preprints202507.0945.v1" target="_blank" href="https://doi.org/10.20944/preprints202507.0945.v1"> Preprint DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001557447200001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001557447200001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="105014453702" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105014453702"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://www.mdpi.com/1996-1073/18/16/4230" target="_blank" href="https://www.mdpi.com/1996-1073/18/16/4230"> Egyéb URL </a> </span> <span class="id identifier oa_GREEN" title=" Green "> <a style="color:blue" title="37666" target="_blank" href="http://publicatio.bibl.u-szeged.hu/37666"> SZTE Publicatio </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Control and Optimization&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Engineering (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Electrical and Electronic Engineering&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Energy (miscellaneous)&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Energy Engineering and Power Technology&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Fuel Technology&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Renewable Energy, Sustainability and the Environment&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Szociológiai Tudományos Bizottság IXGJO SZTB [1901-]&nbsp;&nbsp;&nbsp;C nemzetközi</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 2</span> | Független: 1 | Függő: 1 | Nem jelölt: 0 | WoS jelölt: 2 | Scopus jelölt:&nbsp;1 | WoS/Scopus jelölt:&nbsp;2 | DOI jelölt:&nbsp;2 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;36312523&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 18 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36312523</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">WoS-XML</span> </div> <div class="lastModified">Utolsó módosítás: 2025.12.19. 22:22 Szuper Admin (admin) </div> </div></div>