{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T08:42:36Z","timestamp":1792572156891,"version":"4.5.0"},"reference-count":49,"publisher":"American Chemical Society (ACS)","license":[{"start":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T00:00:00Z","timestamp":1792540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007166","name":"Jiangsu Provincial Department of Education","doi-asserted-by":"publisher","award":["26CXJH4890"],"award-info":[{"award-number":["26CXJH4890"]}],"id":[{"id":"10.13039\/501100007166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005195","name":"China University of Mining and Technology","doi-asserted-by":"publisher","award":["2026-00102"],"award-info":[{"award-number":["2026-00102"]}],"id":[{"id":"10.13039\/501100005195","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018555","name":"Science and Technology Program of Guizhou Province","doi-asserted-by":"publisher","award":["Qian Ke He Support [2024] General 054"],"award-info":[{"award-number":["Qian Ke He Support [2024] General 054"]}],"id":[{"id":"10.13039\/501100018555","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U25A20778"],"award-info":[{"award-number":["U25A20778"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Areas of the Lianghuai Mining Area","award":["2024-g-1-6"],"award-info":[{"award-number":["2024-g-1-6"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Efficient stimulation of coal reservoirs is crucial for enhancing coalbed methane (CBM) well productivity. As an emerging unconventional stimulation technology, low-frequency pulsating water injection (LF-PWI) has attracted widespread attention for its ability to transform the pore-fracture system of coal reservoirs and its potential for engineering application. In this study, LF-PWI experiments are conducted using NMR, CT, and a triaxial apparatus to investigate the influence of LF-PWI parameters on pore-fracture properties of coal samples. The dynamic gray relational analysis (DGRA) method is employed to quantitatively evaluate the correlations of pore-fracture properties with porosity and permeability, respectively. Finally, the stimulation mechanism of productivity is elucidated and validated through a case study. The results demonstrate that LF-PWI can reduce the coal elastic modulus by 35.15%. The volume and connectivity of micropores and mesopores fluctuate, while macropores with diameters of 200\u2013300 \u03bcm increase significantly, forming dominant flow pathways (&amp;gt;500 \u03bcm). Permeability continuously increases due to macropore development (k\/k0 = 4.07). Porosity initially shows a rapid rise driven by macropore expansion (\u03c6\/\u03c60 peaks near 1.05); it then declines (by up to 9.95%) and gradually recovers toward unity as the micropores vary. Increasing the pressure amplitude simultaneously enhances the deterioration of mechanical properties, the fluctuation of porosity, and the improvement of permeability. A segmented control strategy employing high\u2013medium\u2013high pressure amplitude can help balance the pore-fracture network, preserve the gas source, and expand gas seepage pathways. Field application in the DFZ-1 well confirmed that LF-PWI mitigates coal fines flowback and increases cumulative gas production by 17.07%. This study provides a theoretical basis for employing LF-PWI to improve CBM well productivity.<\/jats:p>","DOI":"10.1021\/acsomega.6c08410","type":"journal-article","created":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T06:01:27Z","timestamp":1792562487000},"source":"Crossref","is-referenced-by-count":0,"title":["Effect of Low-Frequency\nPulsating Water Injection\nParameters on Coal Permeability: Quantitative Characterization Experiments\nand a Field Case Study"],"prefix":"10.1021","author":[{"given":"Huijing","family":"Fang","sequence":"first","affiliation":[{"name":"Anhui Provincial Bureau of Coal Geology , , ,","place":["Anhui Hefei, China, 230088"]},{"name":"Anhui Engineering and Technology Research Center for Unconventional Gas , ,","place":["Hefei, China, 230000"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2284-6334","authenticated-orcid":true,"given":"Ang","family":"Xu","sequence":"additional","affiliation":[{"name":"China University of Mining and Technology , , , ,","place":["Xuzhou, Jiangsu, China, 221008"]},{"name":"China University of Mining and Technology , , , ,","place":["Xuzhou, Jiangsu, China, 221116"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hai","family":"Ding","sequence":"additional","affiliation":[{"name":"Anhui Provincial Bureau of Coal Geology , , ,","place":["Anhui Hefei, China, 230088"]},{"name":"Anhui Engineering and Technology Research Center for Unconventional Gas , ,","place":["Hefei, China, 230000"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaozhi","family":"Zhou","sequence":"additional","affiliation":[{"name":"China University of Mining and Technology , , , ,","place":["Xuzhou, Jiangsu, China, 221008"]},{"name":"China University of Mining and Technology , , , ,","place":["Xuzhou, Jiangsu, China, 221116"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyi","family":"Zhao","sequence":"additional","affiliation":[{"name":"Anhui Provincial Bureau of Coal Geology , , ,","place":["Anhui Hefei, China, 230088"]},{"name":"Anhui Engineering and Technology Research Center for Unconventional Gas , ,","place":["Hefei, China, 230000"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Zhang","sequence":"additional","affiliation":[{"name":"China University of Mining and Technology , , , ,","place":["Xuzhou, Jiangsu, China, 221008"]},{"name":"China University of Mining and Technology , , , ,","place":["Xuzhou, Jiangsu, China, 221116"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,10,21]]},"reference":[{"issue":"2","key":"2026102102012205300_cit1","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1007\/s11053-023-10301-5","article-title":"Application of Artificial\nNeural Network to Evaluate Coalbed Methane Exploration Potential:\nA Case Study from Permian Longtan Formation, Shuicheng, Guizhou","volume":"33","author":"Mondal","year":"2024","journal-title":"Nat. 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