地震微相识别构造软煤技术研究——以晋城寺家庄矿15号煤层为例

A Study on Tectonoclastic Coal Identification through Seismic Microfacies——A Case Study of Coal No.15 in Sijiazhuang Coalmine,Jincheng

构造软煤的存在是发生煤与瓦斯突出事故的主要因素。为了研究构造软煤的地震识别方法,以寺家庄矿15号煤层为例,将地震资料90相移处理技术和地震微相识别技术相结合,精细预测区内构造软煤分布。经90相移处理技术后的地震剖面,其构造软煤的反射波具有平均瞬时振幅明显变弱、中心频率明显变小、平均瞬时频率明显变弱、频带宽度明显变小等特征。对经90相移技术处理的数据体进行神经网络技术处理得到地震微相分析成果图。成果图表明:研究区构造软煤主要发育于研究区西部、东南部与中部断层附近。解释成果符合构造软煤发育的地质规律,并已被矿井采掘揭露资料验证。

The existing of tectonoclastic coal is a major factor in coal and gas outburst accidents. To study tectonoclastic coal seismic prospecting identification, taking the coal No. 15 in the Sijiazhuang coalmine as an example, combined seismic data 90o phase shifting processing technology with seismic microfacies identification technology, finely predicted tectonoclastic coal distribution in the area. The seismic section after 90o phase shifting processing, the reflection of tectonoclastic coal has features of mean instantaneous ampli-tude obvious weakening, center frequency obviously smaller, mean instantaneous frequency obvious weakening, and wave band width obviously smaller etc. To the data volume after 90° phase shifting processing carried out neural network processing obtained seismic mi-crofacies analytical result map. The result map has shown that tectonoclastic coal is mainly developed near the faults in western, south-eastern and central parts of the study area. The interpreted results are tally with tectonoclastic coal development geological regular pat-tern, and have verified by coalmine excavation revealed data.