利用地震属性预测煤层厚度及古河流冲刷带的方法
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摘要
根据山西宁武煤田某煤矿2#煤层采掘及钻孔揭露情况,发现该井田中部和南部存在古河流冲刷带。通过对比基于优选的4个地震属性的四元一次、四元二次多项式回归模型与BP神经网络预测模型,决定将BP人工神经网络模型预测煤层厚度数据应用于整个测区古河流冲刷带的预判工作。首先利用GeoFrame系统和Landmark公司Poststack模块,提取2#煤层反射波的各类沿层切片,分析并圈定出2#煤层古河流冲刷带的大致范围,在此基础上,利用垂直时间剖面中2#煤层反射波的各种波形特征,进一步判别2#煤层古河流冲刷带解释的可靠性,然后结合BP神经网络预测模型获得的2#煤层厚度变化趋势图,最终解释出2#煤层古河流冲刷带范围:勘探区内2#煤层厚度变化范围0～5.3m,根据其煤层厚度变化趋势,将全区划分出一大二小3个古河流冲刷带。
Based on the winning and opening of No.2 coal seam and drilling data of a coalmine in the Ningwu coalfield,Shanxi have found paleochannel scouring belts existed in central and southern parts of the minefield.Through comparison and based on quaternion linear,quaternion quadratic polynomial regression model and BP neural network prediction model of optimized 4 seismic attributes have determined to apply BP artificial neural network model predicting coal seam thickness data on whole prospecting area paleochannel scouring belts prediction.Firstly to use GeoFrame system and Landmark Company's Poststack module,picked up various bedding slices of No.2 coal seam reflections,analyzed and delineated No.2 coal seam paleochannel scouring belts in the main,on this basis,to use various reflection waveform features on vertical time sections,to further distinguish interpretation reliability,then combined with No.2 coal seam thickness variation trend chart obtained from BP neural network prediction model and interpreted No.2 coal seam paleochannel scouring belt extent finally:No.2 coal seam thickness range of variation in the prospecting area is 0～5.3m,based on thickness variation trend,delineated one large and two small total three paleochannel scouring belts in the whole area.
Based on the winning and opening of No.2 coal seam and drilling data of a coalmine in the Ningwu coalfield,Shanxi have found paleochannel scouring belts existed in central and southern parts of the minefield.Through comparison and based on quaternion linear,quaternion quadratic polynomial regression model and BP neural network prediction model of optimized 4 seismic attributes have determined to apply BP artificial neural network model predicting coal seam thickness data on whole prospecting area paleochannel scouring belts prediction.Firstly to use GeoFrame system and Landmark Company's Poststack module,picked up various bedding slices of No.2 coal seam reflections,analyzed and delineated No.2 coal seam paleochannel scouring belts in the main,on this basis,to use various reflection waveform features on vertical time sections,to further distinguish interpretation reliability,then combined with No.2 coal seam thickness variation trend chart obtained from BP neural network prediction model and interpreted No.2 coal seam paleochannel scouring belt extent finally:No.2 coal seam thickness range of variation in the prospecting area is 0～5.3m,based on thickness variation trend,delineated one large and two small total three paleochannel scouring belts in the whole area.
引文
[1]郭彦省,孟召平,等.地震属性及其在煤层厚度预测中的应用[J].中国矿业大学学报,2004,33(5):557-562.
[2]崔若飞,李晋平,等.地震属性技术在煤田地震勘探中的应用研究[J].中国矿业大学学报,2002,31(3):267-270.
[3]陈遵德,陈富贵.地震数据油气预测中的属性优化方法[J].石油物探,1998,37(4):32-40.
[4]黄真萍,王晓华,王云专.薄层地震属性参数和厚度预测[J].石油物探,1997,36(3):28-38.
[5]Quincy Chen,Steve Sidney.用于储层预测和监测的地震属性技术[J].张翠兰译.国外油气勘探,1998,10(2):220-231.
[6]陈红恩,倪新辉,段建华,等.利用三维地震资料研究鱼卡煤田7煤层厚度[J].中国煤炭地质,2008,20(06).
[7]代凤红,程增庆,张生,等.地震属性技术在预测无煤带中的应用[J].中国煤炭地质,2009,21(z1).
[8]郑岩,程增庆,王永哲,等.大隆煤矿煤层冲刷及采空区的解释方法研究[J].中国煤田地质,2007,19(06).
[9]胡朝元,邱杰.利用三维地震资料解释煤层冲刷范围[J].中国煤田地质,2000,12(04).
[10]胡宗正,郭良红,林建东.三维地震属性参数在煤层厚度预测中的应用[J].中国煤炭地质,2008,20(06).
[11]蔡军,刘卫.利用人工神经网络法预测煤层厚度研究[J].中国煤田地质,2005,17(06).
[12]林建东,霍全明,吴亦峰.多井约束三维地震反演技术在煤厚预测中的应用[J],中国煤田地质,2005,17(03).
[2]崔若飞,李晋平,等.地震属性技术在煤田地震勘探中的应用研究[J].中国矿业大学学报,2002,31(3):267-270.
[3]陈遵德,陈富贵.地震数据油气预测中的属性优化方法[J].石油物探,1998,37(4):32-40.
[4]黄真萍,王晓华,王云专.薄层地震属性参数和厚度预测[J].石油物探,1997,36(3):28-38.
[5]Quincy Chen,Steve Sidney.用于储层预测和监测的地震属性技术[J].张翠兰译.国外油气勘探,1998,10(2):220-231.
[6]陈红恩,倪新辉,段建华,等.利用三维地震资料研究鱼卡煤田7煤层厚度[J].中国煤炭地质,2008,20(06).
[7]代凤红,程增庆,张生,等.地震属性技术在预测无煤带中的应用[J].中国煤炭地质,2009,21(z1).
[8]郑岩,程增庆,王永哲,等.大隆煤矿煤层冲刷及采空区的解释方法研究[J].中国煤田地质,2007,19(06).
[9]胡朝元,邱杰.利用三维地震资料解释煤层冲刷范围[J].中国煤田地质,2000,12(04).
[10]胡宗正,郭良红,林建东.三维地震属性参数在煤层厚度预测中的应用[J].中国煤炭地质,2008,20(06).
[11]蔡军,刘卫.利用人工神经网络法预测煤层厚度研究[J].中国煤田地质,2005,17(06).
[12]林建东,霍全明,吴亦峰.多井约束三维地震反演技术在煤厚预测中的应用[J],中国煤田地质,2005,17(03).
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