{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T16:24:49Z","timestamp":1786465489185,"version":"build-2736575974"},"reference-count":51,"publisher":"American Chemical Society (ACS)","issue":"31","license":[{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010824","name":"China Petrochemical Corporation","doi-asserted-by":"publisher","award":["34550000-24-ZC0611-0010"],"award-info":[{"award-number":["34550000-24-ZC0611-0010"]}],"id":[{"id":"10.13039\/501100010824","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011447","name":"Science and Technology Department of Henan Province","doi-asserted-by":"publisher","award":["254200510044"],"award-info":[{"award-number":["254200510044"]}],"id":[{"id":"10.13039\/501100011447","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>To precisely delineate favorable coalbed methane (CBM) development target areas in the Southern North China Basin and to enhance the targeted efficiency of CBM exploration and exploitation, 10 structural blocks within the basin were selected as the study objects. Guided by the geological-engineering \u201cdual sweet spots\u201d evaluation framework, six core indicators were screened: coal seam thickness, burial depth, gas content, coal body structure, roof lithology, and permeability. Specifically, gas content, coal seam thickness, burial depth, and roof lithology were categorized as \u201cgeological sweet spot\u201d parameters, whereas permeability and coal body structure were identified as key \u201cengineering sweet spot\u201d parameters. To overcome the limitations of single evaluation methods, Gray Relational Analysis (GRA) and the Analytic Hierarchy Process (AHP) were integrated to construct a subjective-objective collaborative comprehensive evaluation model. The final comprehensive weights were determined by combining the subjective and objective weights, which were then used to quantify the development potential scores of each block. Based on the score gradients, these areas were classified into Class I, II, and III favorable development zones. The results indicate that gas content, permeability, and coal seam thickness are the key factors governing CBM development potential in this basin. Ultimately, three Class I, five Class II, and two Class III favorable areas were identified. By balancing geological adaptability with engineering operability, this evaluation system and its classification results provide reliable theoretical support and technical references for the precise exploration deployment and efficient development planning of CBM in the Southern North China Basin.<\/jats:p>","DOI":"10.1021\/acsomega.6c03844","type":"journal-article","created":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T13:15:50Z","timestamp":1785849350000},"page":"46451-46464","source":"Crossref","is-referenced-by-count":0,"title":["Evaluation and\nFavorable Area Prediction of Deep CBM\nin the Southern North China Basin Using GRA-AHP"],"prefix":"10.1021","volume":"11","author":[{"given":"Huiwen","family":"Chu","sequence":"first","affiliation":[{"name":"Henan Polytechnic University , , ,","place":["Jiaozuo, China, 454003"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7995-0129","authenticated-orcid":true,"given":"Jienan","family":"Pan","sequence":"additional","affiliation":[{"name":"Henan Polytechnic University , , ,","place":["Jiaozuo, China, 454003"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guocheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Henan Polytechnic University , , ,","place":["Jiaozuo, China, 454003"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yawen","family":"Wu","sequence":"additional","affiliation":[{"name":"Henan Polytechnic University , , ,","place":["Jiaozuo, China, 454003"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiangfeng","family":"Chen","sequence":"additional","affiliation":[{"name":"Henan Polytechnic University , , ,","place":["Jiaozuo, China, 454003"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,7,29]]},"reference":[{"issue":"6","key":"2026081110162284500_cit1","doi-asserted-by":"publisher","first-page":"1664","DOI":"10.1016\/S1876-3804(26)60669-6","article-title":"Advances, challenges,\nand prospects of carbon dioxide capture, utilization, and storage\ntechnologies for carbon neutrality","volume":"52","author":"Zou","year":"2025","journal-title":"Pet. 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J. Coal Geol."},{"key":"2026081110162284500_cit31","doi-asserted-by":"publisher","first-page":"104208","DOI":"10.1016\/j.coal.2023.104208","article-title":"Intelligent\nclassification of coal structure using multinomial logistic regression,\nrandom forest and fully connected neural network with multisource\ngeophysical logging data","volume":"268","author":"Wang","year":"2023","journal-title":"Int. J. Coal Geol."},{"key":"2026081110162284500_cit32","doi-asserted-by":"publisher","first-page":"14187","DOI":"10.1007\/s13369-025-10428-y","article-title":"Research on Prediction\nMethods of Deep Coalbed Methane Content Based\non Geophysical Logging","volume":"51","author":"Feng","year":"2025","journal-title":"Arabian J. Sci. Eng."},{"key":"2026081110162284500_cit33","doi-asserted-by":"publisher","first-page":"105681","DOI":"10.1016\/j.jappgeo.2025.105681","article-title":"Prediction of coalbed methane content based\non composite logging parameters and PCA-BP neural network","volume":"236","author":"Zhang","year":"2025","journal-title":"J. Appl. Geophys."},{"key":"2026081110162284500_cit34","doi-asserted-by":"publisher","first-page":"114191","DOI":"10.1016\/j.asoc.2025.114191","article-title":"A third-generation prospect theory-based\nthree-way decision method for coalbed methane development favorable\narea selection","volume":"186","author":"Bao","year":"2026","journal-title":"Appl. Soft Comput."},{"key":"2026081110162284500_cit35","doi-asserted-by":"publisher","first-page":"113642","DOI":"10.1016\/j.engappai.2025.113642","article-title":"Interpretable hybrid\nlearning for fracturing optimization in deep coalbed methane under\ndata scarcity","volume":"166","author":"Liu","year":"2026","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"1","key":"2026081110162284500_cit36","first-page":"109","article-title":"Sturctural\ncharacteristic of the faults in the southern\nNorth China Basin and its relationship with petroleum exploration","volume":"55","author":"Wang","year":"2020","journal-title":"Chin. J. Geol."},{"issue":"6","key":"2026081110162284500_cit37","first-page":"640","article-title":"Petrography and diagenesis of Permian sandstone reservoirs in Zhoukou\nDepression, Southern North China Basin","volume":"35","author":"Li","year":"2013","journal-title":"Pet.\nGeol. Exp."},{"key":"2026081110162284500_cit38","first-page":"213","article-title":"The shale gas accumulation characteristics\nof Taiyuan and Shanxi formations in Zhongmu sag in basins in south\nof the north China: in case of ZDY2 well of Zhongmu block, Henan province","volume":"34","author":"Feng","year":"2019","journal-title":"Contrib. Geol. Miner. Resour. Res."},{"key":"2026081110162284500_cit39","first-page":"690","article-title":"Characteristics\nand exploration horizon optimization of marine-continental transitional\nshale in the South of North China Basin: A case study of Upper Paleozoic\nin Tongxu area","volume":"4","author":"Chen","year":"2022","journal-title":"Pet. Reservoir Eval. Dev."},{"issue":"3","key":"2026081110162284500_cit40","first-page":"350","article-title":"Progress,\nchallenge and prospect of gas exploration\nin shale of Taiyuan-Shanxi formation in Henan province","volume":"38","author":"Qiu","year":"2023","journal-title":"Contrib. Geol. Miner. Resour. Res."},{"issue":"11","key":"2026081110162284500_cit41","first-page":"1781","article-title":"Concept and main characteristics\nof deep oversaturated coalbed methane reservoir","volume":"44","author":"Kang","year":"2023","journal-title":"Acta Petrol. Sin."},{"issue":"7","key":"2026081110162284500_cit42","first-page":"19","article-title":"Mechanism on the Accumulation of\nOver-saturated CBM Gas Reservoirs","volume":"27","author":"Zhao","year":"2007","journal-title":"Nat. Gas\nInd."},{"issue":"1","key":"2026081110162284500_cit43","doi-asserted-by":"publisher","first-page":"11","DOI":"10.12363\/issn.1001-1986.24.09.0592","article-title":"Critical technologies\nand geology-engineering integration\npractices for deep CBM production in the Yanchuannan CBM field","volume":"53","author":"Chen","year":"2025","journal-title":"Coal Geol. 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Eng."},{"issue":"2","key":"2026081110162284500_cit49","first-page":"237","article-title":"Feasibility\nevaluation method and\napplication of moderate in-situ gasification in deep tight coal &\ngas reservoirs","volume":"15","author":"Kang","year":"2025","journal-title":"Pet. Reservoir Eval. Dev."},{"issue":"1","key":"2026081110162284500_cit50","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1108\/JCC-08-2016-0005","article-title":"An integrated\napproach to grey relational analysis, analytic hierarchy process and\ndata envelopment analysis","volume":"9","author":"Pakkar","year":"2016","journal-title":"J. Cent. Cathedra"},{"key":"2026081110162284500_cit51","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1016\/j.jngse.2016.02.024","article-title":"Geological characteristics\nand CBM exploration potential evaluation: A case study in the middle\nof the southern Junggar Basin, NW China","volume":"30","author":"Fu","year":"2016","journal-title":"J.\nNat. Gas Sci. Eng."}],"container-title":["ACS Omega"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acsomega.6c03844","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/acsodf\/article-pdf\/11\/31\/46451\/66324550\/acsomega.6c03844.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/pubs.acs.org\/acsodf\/article-pdf\/11\/31\/46451\/66324550\/acsomega.6c03844.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T15:01:23Z","timestamp":1786460483000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/acsodf\/article\/11\/31\/46451\/5236378\/Evaluation-and-Favorable-Area-Prediction-of-Deep"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,29]]},"references-count":51,"journal-issue":{"issue":"31","published-online":{"date-parts":[[2026,7,29]]},"published-print":{"date-parts":[[2026,8,11]]}},"URL":"https:\/\/doi.org\/10.1021\/acsomega.6c03844","relation":{},"ISSN":["2470-1343"],"issn-type":[{"value":"2470-1343","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,29]]}}}