地震多属性非线性反演方法在东营三角洲中的应用
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摘要
地震多属性反演的目的是为储层预测提供丰富的基础资料。在实现方法上主要有线性方法和非线性方法,地震多属性非线性反演方法多采用神经网络、支持向量机等工具进行映射,其反演预测结果比线性方法更符合实际地质情况。将自然电位曲线作为地震多属性非线性反演的目标,首先,通过线性回归的方法,寻找用于反演自然电位曲线的最优地震属性组合;然后,选用多层前馈神经网络,进行地震多属性非线性反演,得到了三维自然电位数据体;最后,利用自然电位数据体沿层切片,清晰地展示了东营三角洲沙三段中亚段砂体的前积过程。
The seismic attribute can be subtracted from seismic data, and then it is specially used for the measurement of seismic data in its geometry, dynamics or statistics feature. The purpose of seismic multi-attributes inversion is to provide reliable foundation data for reservoir prediction. There are two methods in forecasting well logging characteristics from seismic data: linear regression and nonlinear method. In nonlinear mode, neural network or support vector machine is trained, using the selected attributes as inputs. Seismic multi-attributes nonlinear inversion results match the geologic distribution regulation much more than linear regression. Taking spontaneous potential (SP) curve as the inversion goal, firstly, we can find the optimal seismic attributes for SP inversion by using linear regression. Secondly, the multi-attributes inversion is carried out by using the multilayer feed forward network (MLFN) based on these seismic attributes, and acquiring 3-D SP data volume. Finally, the progradation process of delta-front sandbody in Dongying delta are displayed clearly through seismic slice along the layer. The practical application results show that the proposed method has a good performance and is beneficial for further application and application.
The seismic attribute can be subtracted from seismic data, and then it is specially used for the measurement of seismic data in its geometry, dynamics or statistics feature. The purpose of seismic multi-attributes inversion is to provide reliable foundation data for reservoir prediction. There are two methods in forecasting well logging characteristics from seismic data: linear regression and nonlinear method. In nonlinear mode, neural network or support vector machine is trained, using the selected attributes as inputs. Seismic multi-attributes nonlinear inversion results match the geologic distribution regulation much more than linear regression. Taking spontaneous potential (SP) curve as the inversion goal, firstly, we can find the optimal seismic attributes for SP inversion by using linear regression. Secondly, the multi-attributes inversion is carried out by using the multilayer feed forward network (MLFN) based on these seismic attributes, and acquiring 3-D SP data volume. Finally, the progradation process of delta-front sandbody in Dongying delta are displayed clearly through seismic slice along the layer. The practical application results show that the proposed method has a good performance and is beneficial for further application and application.
引文
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[13]王化爱,张建忠,张宇,等.陆相断陷盆地三角洲地层划分与对比——以济阳坳陷东营三角洲为例[J].油气地质与采收率,2004,11(3):1-3.
[14]邱桂强,王居峰,张昕,等.东营三角洲沙河街组三段中亚段地层格架初步研究及油气勘探意义[J].沉积学报,2001,19(4):569-575.
[15]毕俊凤,王守珍,杨培杰.惠勒域转换技术在地震沉积学研究中的应用——以东营三角洲沉积体系为例[J].油气地质与采收率,2011,18(6):53-55.
[16]刘洪文,杨培杰,刘书会,等.地震Wheeler转换技术及其应用[J].石油物探,2012,51(1):51-55.
[17]穆星,卢新甫,杨培杰.基于高阶统计量的高分辨率时频分析方法[J].油气地质与采收率,2009,16(6):56-59.
[2]Barnes A E.Seismic attributes in your facies[J].CSEG Recorder,2001,9:41-47.
[3]Lawrence P,Aramco S,Dhahran,et al.Seismic attributes in the characterization of small-scale reservoir in Abqaiq Field[J].The Leading Edge,1998,17(4):521-525.
[4]Liu Z,Liu J.Seismic-controlled nonlinear extrapolation of well parameters using neural networks[J].Geophysics,1998,63(6):2035-2041.
[5]刘淑华,谢占安,刘建武,等.叠前地震多属性反演在南堡油田火成岩研究中的应用[J].石油物探,2008,47(1):83-93.
[6]明君,黄凯,张洁,等.多属性神经网络地震反演在NB油田水平井钻探中的应用[J].中国海上油气,2006,18(6):382-384.
[7]乐友喜,王永刚.非参数回归法在孔隙度参数预测中的应用[J].地质科学,2002,37(1):118-125.
[8]Daniel P Hampson,于宝利,刘新利.用多属性变换由地震数据预测测井特性[J].勘探地球物理进展,2002,25(3):65-75.
[9]杨培杰,印兴耀.支持向量机叠前地震反演方法研究[J].中国石油大学学报:自然科学版,2008,32(1):37-41.
[10]孔国英.叠前地震属性的提取与优化[D].东营:中国石油大学(华东),2008.
[11]焦李成.神经网络系统理论[M].西安:西安电子科技大学出版社,1990.
[12]Kirkpatrick S,Gelatt C D,Vecchi M P.Optimization by simulated annealing[J].Science,1983,220(4598):671-680.
[13]王化爱,张建忠,张宇,等.陆相断陷盆地三角洲地层划分与对比——以济阳坳陷东营三角洲为例[J].油气地质与采收率,2004,11(3):1-3.
[14]邱桂强,王居峰,张昕,等.东营三角洲沙河街组三段中亚段地层格架初步研究及油气勘探意义[J].沉积学报,2001,19(4):569-575.
[15]毕俊凤,王守珍,杨培杰.惠勒域转换技术在地震沉积学研究中的应用——以东营三角洲沉积体系为例[J].油气地质与采收率,2011,18(6):53-55.
[16]刘洪文,杨培杰,刘书会,等.地震Wheeler转换技术及其应用[J].石油物探,2012,51(1):51-55.
[17]穆星,卢新甫,杨培杰.基于高阶统计量的高分辨率时频分析方法[J].油气地质与采收率,2009,16(6):56-59.
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