摘要
针对潞宁矿区地质保障问题,引入成熟的三维地震勘探技术进行勘探,针对2号煤层选择了平均峰值振幅、反射强度的斜率、高于振幅门限的百分比和主频序列F1四种地震属性;针对3号煤层选择了主频序列F3、振幅的峰态、能量半衰处的斜率和过零值的频率四种地震属性。利用基于多地震属性的BP神经网络预测模型技术、频谱分解技术、储层预测技术,解释煤层厚度及煤层中古河流冲刷带,归纳出适合潞宁矿区的三维地震资料预测煤层厚度及古河流冲刷带的方法模型。
Based on complex geological form in Luning Mine, 3-d seismic exploration technology was used to explore. 4seismic attributes were used in No.2 coal seam including average peak amplitude, slope reflection strength, percentage higher than the amplitude threshold and frequency sequence F1; 4 seismic attributes were selected in No.3 coal seam as well which included frequency sequence F3, amplitude of kurtosis, energy half a failure of the slope and frequency of the zero value. According to use BP neural network model for prediction technology, spectrum decomposition technique and reservoir prediction techniques on the basis of multi seismic features, thickness of coal seam and flush with coal seam in the middle river were explained, 3-d seismic data predicting thickness of coal seam and method model of erosion by ancient rivers which were appropriate for Luning Mine were summarized.
出处
《煤炭与化工》
CAS
2017年第2期138-141,共4页
Coal and Chemical Industry
关键词
三维地质勘探
BP神经网络预测模型技术
频谱分解技术
储层预测技术
three-dimensional geological prospecting
BP neural network model for prediction technology
spectrum decomposition technique
reservoir prediction techniques