Coal-Free Zone Genesis and Logging Response Characterization Using a Multi-Curve Signal Analysis Framework.

Xiao Yang, Yanrong Chen, Longqing Shi, Xingyue Qu, Song Fu

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiao YangCollege of Earth Sciences and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Yanrong ChenSchool of Geosciences, China University of Petroleum (East China), Qingdao 266580, China.

Longqing ShiCollege of Earth Sciences and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Xingyue QuCollege of Earth Sciences and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Song FuCollege of Earth Sciences and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Funding

Natural Science Foundation of Shandong Province No. ZR2021MD057Qingdao Municipal Natural Science Foundation No. 25-1-1-47-zyyd-jch

6 · The paper itself

Abstract

Coal-free zones, particularly scouring zones, reduce recoverable reserves and increase water inrush risk in coal mining. Existing sedimentological, geophysical, and geostatistical methods are often constrained by coring conditions, lithological interpretation accuracy, and geological complexity. Given that well log signals provide the most continuous carriers of geological information, this study integrates Singular Spectrum Analysis (SSA), Maximum Entropy Spectral Analysis (MESA), and Integrated Prediction Error Filter Analysis (INPEFA) to establish a multi-curve framework for analyzing the genesis and logging responses of coal-free zones. A two-stage SSA workflow was applied for noise reduction, and a Trend-Fluctuation Composite (TFC) curve was constructed to enhance depositional rhythm detection. The minimum singular value order (

Indexed as

coal-free zonecoal seam scouring zonelogging signalssingular spectrum analysis (SSA)trend–fluctuation composite curve (TFC)water inrush risk evaluation

Identifiers

PMID41440386

DOI10.3390/e27121183

PMCPMC12732060

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.