拉梅参数直接反演技术在碳酸盐岩缝洞型储层流体检测中的应用
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摘要
缝洞是某区碳酸盐岩储层的主要储集类型,非均质性强。为充分利用叠前地震资料的AVO信息,采用基于弹性阻抗反演的LMR技术来求取储层弹性参数信息,进而指导储层流体检测。首先,通过岩石物理和弹性参数流体敏感性分析得到流体敏感参数;其次,基于拉梅参数弹性阻抗方程开展拉梅参数的直接反演,以减少常规弹性阻抗先反演纵、横波速度和密度再计算拉梅参数信息所带来的累积误差;最后,利用反演得到的流体敏感弹性参数进行含气储层预测。实际钻井结果证明,在研究区采用基于叠前弹性阻抗反演的LMR技术能够有效地识别含水与含气储层。
Fracture-cave carbonate reservoir is the main reservoir in some area with strong heterogeneity.To make full use of AVO information in pre-stack seismic data,we applied the LMR technology based on elastic impedance inversion to obtain the information of elastic parameters for the reservoir to guide fluid indication.Firstly, we got the most sensitive elastic parameters based on the fluid sensitivity analysis of petrophysical and elastic parameters.Secondly, we utilized the LMR technology based on elastic impedance inversion to get the lame parameters directly which decreases the error brought by accumulative calculation by using common elastic impedance inversion method.Finally,the obtained fluid sensitive elastic parameters were used for gas-bearing reservoir prediction.Actual drilling information shows that LMR technology based on elastic impedance inversion can effectively identify water and gas layers.
Fracture-cave carbonate reservoir is the main reservoir in some area with strong heterogeneity.To make full use of AVO information in pre-stack seismic data,we applied the LMR technology based on elastic impedance inversion to obtain the information of elastic parameters for the reservoir to guide fluid indication.Firstly, we got the most sensitive elastic parameters based on the fluid sensitivity analysis of petrophysical and elastic parameters.Secondly, we utilized the LMR technology based on elastic impedance inversion to get the lame parameters directly which decreases the error brought by accumulative calculation by using common elastic impedance inversion method.Finally,the obtained fluid sensitive elastic parameters were used for gas-bearing reservoir prediction.Actual drilling information shows that LMR technology based on elastic impedance inversion can effectively identify water and gas layers.
引文
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[15]Ma J F,Morozov I B.The Exact Elastic Impedance [J].Expanded Abstracts of 67~(th) EAGE Annual Conference, 2005,224-227
[16]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
[17]Wang B L,Yin X Y,Zhang F C.Lame parameters inversion based on elastic impedance and its application [J].Applied Geophysics,2006,3(3):174-178
[18]王安甲.塔中及柯坪巴楚地区寒武奥陶系碳酸盐岩储集空间研究[D].北京:中国地质大学(北京),2009
[19]Gray F D.The application of AVO and inversion to the estimation of rock properties[J].Expanded Abstracts of 70~(th) Annual Internet SEG Mtg,2000, 549-552
[20]宁忠华,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
[21]Dillon L,Schwedersky G,Vasquez G,et al.A multiscale DHI elastic attributes evaluation[J].The Leading Edge,2003,22(10):1024-1029
[2]林凯,贺振华,熊晓军,等.基于Gassmann方程的鲕滩储层流体替换模拟技术及其应用[J].石油物探, 2009,48(5):493-498
[3]郎晓玲,彭仕宓,康洪全,等.叠前同时反演方法在流体识别中的应用[J].石油物探,2010,49(2): 1 64-1 69
[4]Smith G C,Gidlow P M.Weighted stacking for rock property estimation and detection of gas[J].Geophysical Prospecting,1987,35(9):915-942
[5]Hilterman F J.Seismic amplitude interpretation [M].Tulsa:Society of Exploration Geophysicists, 2001:68-82
[6]Russell B,Hedlin K,Hilterman F.Fluid-property discrimination with AVO:a Biot-Gassmann perspective [J].Geophysics,2003,68(1):29-39
[7]印兴耀,张世鑫,张繁昌,等.利用基于Russell近似的弹性波阻抗反演进行储层描述和流体识别[J].石油地球物理勘探,2010,45(3):373-380
[8]Gidlow M,Smith G C.The Fluid Factor Angle[J]. Expanded Abstracts of 65~(th) EAGE Annual Conference, 2003,2-5
[9]Quakenbush M,Shang B,Tuttle C.Poisson impedance [J].The Leading Edge,2006,25(2):128-138
[10]Goodway B,Chen T,Down ton J.Improved AVO fluid detection and lithology discrimination using Lame petrophysical parameters:"λρ","μρ",& "λ/μfluid stack",from P and S inversions[J].Expanded Abstracts of 67~(th) Annual Internat SEG Mtg,1997, 183-186
[11]Connolly P.Elastic impedance[J].The Leading Edge,1999,18(4):438-452
[12]Cambois G.AVO inversion and elastic impedance [J].Expanded Abstracts of 70~(th) Annual Internet SEG Mtg,2000,1953-1956
[13]Whitcombe D N.Extended elastic impedance for fluid and lithology prediction[J].Expanded Abstracts of 70~(th) Annual Internet SEG Mtg,2000,63-77
[14]Gray D.Bridging the gap:using AVO to detect changes in fundamental elastic constants[J].Expanded Abstracts of 69~(th) Annual Internet SEG Mtg, 1999,852-855
[15]Ma J F,Morozov I B.The Exact Elastic Impedance [J].Expanded Abstracts of 67~(th) EAGE Annual Conference, 2005,224-227
[16]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
[17]Wang B L,Yin X Y,Zhang F C.Lame parameters inversion based on elastic impedance and its application [J].Applied Geophysics,2006,3(3):174-178
[18]王安甲.塔中及柯坪巴楚地区寒武奥陶系碳酸盐岩储集空间研究[D].北京:中国地质大学(北京),2009
[19]Gray F D.The application of AVO and inversion to the estimation of rock properties[J].Expanded Abstracts of 70~(th) Annual Internet SEG Mtg,2000, 549-552
[20]宁忠华,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
[21]Dillon L,Schwedersky G,Vasquez G,et al.A multiscale DHI elastic attributes evaluation[J].The Leading Edge,2003,22(10):1024-1029
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