Prediction of sandstone porosity in coal seam roof based on variable mode decomposition and random forest method
Huang Ya-ping,*, Qi Xue-mei, Cheng Yan, Zhou Ling-ling, Yan Jia-hao, and Huang Fan-rui
1. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China;
2. China National Administration of Coal Geology, Beijing 100038, China;
3. The First Geological Brigade of Jiangsu Geological Bureau, Nanjing 210041, China
Abstract：
Evaluation of water richness in sandstone is an important research topic in the prevention and control of mine water disasters, and the water richness in sandstone is closely related to its porosity. The reflection seismic exploration data have high-density spatial sampling information, which provides an important data basis for the prediction of sandstone porosity in coal seam roofs by using reflection seismic data. First, the basic principles of the variational mode decomposition (VMD) method and the random forest method are introduced. Then, the geological model of coal seam roof sandstone is constructed, seismic forward modeling is conducted, and random noise is added. The decomposition effects of the empirical mode decomposition (EMD) method and VMD method on noisy signals are compared and analyzed. The test results show that the firstorder intrinsic mode functions (IMF1) and IMF2 decomposed by the VMD method contain the main effective components of seismic signals. A prediction process of sandstone porosity in coal seam roofs based on the combination of VMD and random forest method is proposed. The feasibility and eff ectiveness of the method are verifi ed by trial calculation in the porosity prediction of model data. Taking the actual coalfield reflection seismic data as an example, the sandstone porosity of the 8 coal seam roof is predicted. The application results show the potential application value of the new porosity prediction method proposed in this study. This method has important theoretical guiding significance for evaluating water richness in coal seam roof sandstone and the prevention and control of mine water disasters.
基金资助:This work was supported by the National Natural
Science Foundation of China (Grant No. 42274180) and
the National Key Research and Development Program of
China (2021YFC2902003).
作者简介: Huang Ya-Ping received his Ph.D. in Solid Geophysics from Tongji University in 2011. Currently, he serves as an associate professor at the School of Resources and Geosciences, China University o fMiningandTechnology. His research interests include seismic data interpretation, reservoir prediction, and rock physics.
. Prediction of sandstone porosity in coal seam roof based on variable mode decomposition and random forest method[J]. APPLIED GEOPHYSICS, 2025, 22(1): 197-208.
2025, Vol. 22 
