鲕滩储层气-水识别因子的构建与应用
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摘要
在Russell流体识别因子的理论基础上,构建了新的气-水识别因子。利用气-水识别因子判断鲕滩储层含气性的步骤是:首先确定目标,即寻找含气鲕滩储层和含水围岩的地震属性差异;然后通过叠前纵、横波阻抗同时反演获得ρ,Z_P和Z_S等参数,利用这些参数计算全工区的气-水识别因子;最后,利用得到的识别因子和其它参数的交会分析,获得鲕滩储层的含气性显示。结合川东北鲕滩储层的地质、地球物理特征和测井数据对构建的各种流体识别因子的识别能力进行分析,其中流体识别因子ρf/Z_S~2和纵波阻抗的交会结果与井资料的吻合程度较好,可很好地刻画出鲕滩储层的有利含气区域,且较好地去掉了背景值,减少了识别误差。
On the basis of the theory of Russell's fluid identification factor, a new gas-water identification factor was constructed.Then the new identification factor was used to identify the gas-bearing area of carbonate oolitic-beach reservoir.Firstly,the target is identified, that is to find the contrast in the seismic attributes of gas-bearing oolitic-beach reservoir and water filled surrounding rock.Secondly, some parameters,including,and,are obtained by simultaneous inversion of P-wave and S-wave impedance,which are adopted to calculate the gas-water identification factor of the whole area.Finally, cross analysis is carried out on the new identification factor and other parameters,to obtain the gas-bearing display of oolitic-beach reservoir.Combining the geologic and geophysical characteristics with logging data of oolitic-beach reservoir in Northeast Sichuan Basin,we analyzed the identification ability of all fluid identification factors,which indicates that the cross analysis result of pf/Z_S~2 and impedance is matched well with well data,has good characterization ability of favorable gas-bearing area,well removes background value and decrease identification error.
On the basis of the theory of Russell's fluid identification factor, a new gas-water identification factor was constructed.Then the new identification factor was used to identify the gas-bearing area of carbonate oolitic-beach reservoir.Firstly,the target is identified, that is to find the contrast in the seismic attributes of gas-bearing oolitic-beach reservoir and water filled surrounding rock.Secondly, some parameters,including,and,are obtained by simultaneous inversion of P-wave and S-wave impedance,which are adopted to calculate the gas-water identification factor of the whole area.Finally, cross analysis is carried out on the new identification factor and other parameters,to obtain the gas-bearing display of oolitic-beach reservoir.Combining the geologic and geophysical characteristics with logging data of oolitic-beach reservoir in Northeast Sichuan Basin,we analyzed the identification ability of all fluid identification factors,which indicates that the cross analysis result of pf/Z_S~2 and impedance is matched well with well data,has good characterization ability of favorable gas-bearing area,well removes background value and decrease identification error.
引文
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[12]黄先平,张健,谢芳,等.鲕滩储层预测技术、流体识别方法在川东北地区飞仙关组天然气勘探中的应用[J].中国石油勘探,2003,8(1):41-51
[13]孙巧玲.川东北地区飞仙关组鲕滩气藏气水识别[J].天然气勘探与开发,2005,28(6):20-26
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[15]徐天吉,程冰洁.瞬时谱分析技术与气水识别方法研究[J].石油天然气学报,2008,30(4):73-78
[16]He Z H,Xiong X J,Bian L E.Numerical simulation of seismic low-frequency shadows and its application [J].Applied Geophysics,2008,5(4):301-306
[2]宁中华,贺振华,黄德济.基于地震资料的高灵敏度流体识别因子[J].石油物探,2006,45(3):239-241
[3]王栋,贺振华,黄德济.新流体识别因子的构建与应用分析[J].石油物探,2009,48(2):141-145
[4]Rutherford S R.Amplitude versus offset variation in gas sands[J].Geophysics,1989,54(6):680-688
[5]Goodway W,Chen T,Dowmton J.Improved AVO fluid detection and lithology discrimination using Lame petrophysical parameters from P and S inversion [J].Extended Abstracts of 67~(th) Annual Internat SEG Mtg,1997,183-186
[6]Hedlin K.Pore space modulus and extraction using AVO[J].Extended Abstracts of 70~(th) Annual Internat SEG Mtg,2000,170-173
[7]Russell B H,Hedlin K,Hilterman F J,et al.Fluidproperty discrimination with AVO:a biot-Gassmann perspective[J].Geophysics,2003,68(1):29-39
[8]Dillon L,Schwedersky G,Guilherme V,et al.A multiscale DHI elastic attributes evaluation[J].The Leading Edge,2003,22(10):1024-1029
[9]Zhang S X,Yin X Y,Zhang F C.Fluid discrimination study from Fluid Elastic Impedance(FEI)[J]. Expanded Abstracts of 79th Annual Internat SEG Mtg,2009,2437-2441
[10]贺振华,王栋.扩展流体识别因子及应用[J].矿物岩石,2009,29(4):100-103
[11]郭旭升,凡睿.AVO技术在普光气田鲕滩储层预测中的应用[J].石油与天然气地质,2007,28(2):198- 202
[12]黄先平,张健,谢芳,等.鲕滩储层预测技术、流体识别方法在川东北地区飞仙关组天然气勘探中的应用[J].中国石油勘探,2003,8(1):41-51
[13]孙巧玲.川东北地区飞仙关组鲕滩气藏气水识别[J].天然气勘探与开发,2005,28(6):20-26
[14]彭真明,李亚林,巫盛洪,等.碳酸盐岩储层多角度弹性阻抗流体识别方法[J].地球物理学报,2008, 51(3):881-885
[15]徐天吉,程冰洁.瞬时谱分析技术与气水识别方法研究[J].石油天然气学报,2008,30(4):73-78
[16]He Z H,Xiong X J,Bian L E.Numerical simulation of seismic low-frequency shadows and its application [J].Applied Geophysics,2008,5(4):301-306
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