基于纵横波模量两项反射系数近似方程的叠前地震反演
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摘要
与叠后波阻抗反演相比,叠前AVO反演能获得较为丰富的信息,因此利用叠前反演提取地层弹性参数并进行流体识别是目前的研究热点.考虑到基于Aki-Richard近似式的三参数反演不稳定性较突出,文章拟从减少参数维数入手,提高反演结果的稳健性.本文首先从宗兆云等人推导的基于纵横波模量的Zeoppritz近似公式出发,合理地对公式中的纵波模量与密度进行幂指数拟合,推导出直接反演纵波模量(M)、横波模量(U)的两项式反射系数近似方程并进行反演.其次,建立纵横波模量与高灵敏度流体识别因子的联系,并求取高灵敏度流体识别因子.模型试算和实例应用均表明,新方法能较好地识别储层内的流体性质.
Compared to post-stack impedance inversion, AVO pre-stack inversion could contain more information. Thus, making use of elastic parameters of formation which is collected from pre-stack inversion to do fluid identification is the research hotspot. Considering the three parameters inversion based on Aki-Richard equation is unstable, this paper starts from dimension reduction to promote the stability of inversion results. First of all, this paper starts from Zeoppritz equation based on compressional and shear modulus which is inferred by Zong Zhao-yun etc. And then we reasonably use the compressional modulus and density to do the power exponent fitting to infer the approximate equation of two term reflection coefficient which could directly complete the inversion of compressional modulus(M) and shear modulus(U),and to do the inversion. After that, we establish contact between compressional and shear modulus with HSFIF, and get HSFIF as well. Model trial and application example show that this new method can be more accurate to recognize the fluid properties in reservoir.
Compared to post-stack impedance inversion, AVO pre-stack inversion could contain more information. Thus, making use of elastic parameters of formation which is collected from pre-stack inversion to do fluid identification is the research hotspot. Considering the three parameters inversion based on Aki-Richard equation is unstable, this paper starts from dimension reduction to promote the stability of inversion results. First of all, this paper starts from Zeoppritz equation based on compressional and shear modulus which is inferred by Zong Zhao-yun etc. And then we reasonably use the compressional modulus and density to do the power exponent fitting to infer the approximate equation of two term reflection coefficient which could directly complete the inversion of compressional modulus(M) and shear modulus(U),and to do the inversion. After that, we establish contact between compressional and shear modulus with HSFIF, and get HSFIF as well. Model trial and application example show that this new method can be more accurate to recognize the fluid properties in reservoir.
引文
CAI Han-peng, HE Zhen-hua, LI Rui, et al. 2011. Study and application of two-term AVO inversion [J]. Journal of Chengdu University of Technology (Science & Technology Edition) (in Chinese), 38(5): 581-587.
GAO Gang, He Zhen-hua, CAO Jun-xing, et al. 2013. The new two-term elastic impedance inversion and its application to predict deep gas-bearing carbonate reservoirs [J]. Oil Geophysical Prospecting (in Chinese), 48(3): 450- 457.
Goodway Bill, Chen Taiwen, Downton Jon. 1997. Improved avo fluid detection and lithology discrimination using lamé petrophysical parameters; “λρ”,“μρ”,&“λ/μ fluid stack”, from p and s inversions [J]. SEG Technical Program Expanded Abstracts, 16(1), 2067.
NING Zhong-hua, HE Zhen-hua, HUANG De-ji. 2006. High sensitive fluid identification based on seismic data [J]. Geophysical Prospecting for Petroleum (in Chinese), 45(3): 239-241.
Richards Paul G. 1980. Quantitative seismology : theory and methods. W. H. Freeman.
Shuey R T. 1985. A simplification of the zoeppritz equations [J]. Geophysics, 50(4): 609- 614.
Smith G C, Gidlow P M. 1987. Weighted stacking for rock property estimation and detection of gas [J]. Geophysical Prospecting, 35(9): 993-1014.
WEN Xiao-tao, HUANG De-ji. 2014. Seismic Prediction of Reef-bank Reservoirs [M]. Beijing:Science Press.
YIN Xing-yao, ZHANG Fan-chang, SUN Cheng-yu. 2010. Prestack Seismic Inversion [M]. Qingdao:China University of Petroleum Press.
ZHANG Guang-zhi, DU Bing-yi, LI Hai-shan, et al. 2014. The method of joint pre-stack inversion of PP and P-SV waves in shale gas reservoirs [J]. Chinese Journal of Geophysics (in Chinese), 57(12): 4141- 4149, doi: 10.6038/cjg20141225.
ZHANG Rui. 2017. Pre-stack inversion of deep and reservoir evaluation [Master’s thesis]. Chengdu University of Technology.
ZHU Guang-sheng, GUI Zhi-xian, XIONG Xin-bin, et al. 1995. Relationships between density and P-wave, S-wave velocities [J]. Chinese Journal of Geophysics (in Chinese), 38(S1): 260-264.
Zoeppritz K. 1919. Erdbebenwellen vii. viib. über reflexion und durchgang seismischer wellen durch unstetigkeitsfl?chen. (1919), 66-84.
ZONG Zhao-yun, YIN Xing-yao, WU Guo-chen. 2012. Fluid identification method based on compressional and shear modulus direct inversion [J]. Chinese Journal of Geophysics (in Chinese), 55(1): 284-292, doi: 10.6038/j.issn.0001-5733.2012.01.028.
ZONG Zhao-yun, YIN Xing-yao, ZHANG Feng, et al. 2012. Reflection coefficient equation and pre-stack seismic inversion with Young’s modulus and Poisson ratio [J]. Chinese Journal of Geophysics (in Chinese), 55(11): 3786-3794, doi: 10.6038/j.issn.0001-5733.2012.11.025.
蔡涵鹏, 贺振华, 李瑞, 等. 2011. 两项AVO反演研究及应用[J]. 成都理工大学学报(自然科学版), 38(5): 581-587.
高刚, 贺振华, 曹俊兴, 等. 2013. 两项式弹性波阻抗反演方法在深层碳酸盐岩储层预测中的应用[J]. 石油地球物理勘探, 48(3): 450- 457.
宁忠华, 贺振华, 黄德济. 2006. 基于地震资料的高灵敏度流体识别因子[J]. 石油物探, 45(3): 239-241.
文晓涛, 黄德济. 2014. 礁滩储层地震识别[M]. 北京:科学出版社.
印兴耀, 张繁昌, 孙成禹. 2010. 叠前地震反演[M]. 青岛:中国石油大学出版社.
张广智, 杜炳毅, 李海山, 等. 2014. 页岩气储层纵横波叠前联合反演方法[J]. 地球物理学报, 57(12): 4141- 4149, doi: 10.6038/cjg20141225.
张瑞. 2017. 深层叠前反演与储层评价[硕士论文]. 成都理工大学.
朱广生, 桂志先, 熊新斌, 等. 1995. 密度与纵横波速度关系[J]. 地球物理学报, 38(S1): 260-264.
宗兆云, 印兴耀, 吴国忱. 2012. 基于叠前地震纵横波模量直接反演的流体检测方法[J]. 地球物理学报, 55(1): 284-292, doi: 10.6038/j.issn.0001-5733.2012.01.028.
宗兆云, 印兴耀, 张峰, 等. 2012. 杨氏模量和泊松比反射系数近似方程及叠前地震反演[J]. 地球物理学报, 55(11): 3786-3794, doi: 10.6038/j.issn.0001-5733.2012.11.025.
GAO Gang, He Zhen-hua, CAO Jun-xing, et al. 2013. The new two-term elastic impedance inversion and its application to predict deep gas-bearing carbonate reservoirs [J]. Oil Geophysical Prospecting (in Chinese), 48(3): 450- 457.
Goodway Bill, Chen Taiwen, Downton Jon. 1997. Improved avo fluid detection and lithology discrimination using lamé petrophysical parameters; “λρ”,“μρ”,&“λ/μ fluid stack”, from p and s inversions [J]. SEG Technical Program Expanded Abstracts, 16(1), 2067.
NING Zhong-hua, HE Zhen-hua, HUANG De-ji. 2006. High sensitive fluid identification based on seismic data [J]. Geophysical Prospecting for Petroleum (in Chinese), 45(3): 239-241.
Richards Paul G. 1980. Quantitative seismology : theory and methods. W. H. Freeman.
Shuey R T. 1985. A simplification of the zoeppritz equations [J]. Geophysics, 50(4): 609- 614.
Smith G C, Gidlow P M. 1987. Weighted stacking for rock property estimation and detection of gas [J]. Geophysical Prospecting, 35(9): 993-1014.
WEN Xiao-tao, HUANG De-ji. 2014. Seismic Prediction of Reef-bank Reservoirs [M]. Beijing:Science Press.
YIN Xing-yao, ZHANG Fan-chang, SUN Cheng-yu. 2010. Prestack Seismic Inversion [M]. Qingdao:China University of Petroleum Press.
ZHANG Guang-zhi, DU Bing-yi, LI Hai-shan, et al. 2014. The method of joint pre-stack inversion of PP and P-SV waves in shale gas reservoirs [J]. Chinese Journal of Geophysics (in Chinese), 57(12): 4141- 4149, doi: 10.6038/cjg20141225.
ZHANG Rui. 2017. Pre-stack inversion of deep and reservoir evaluation [Master’s thesis]. Chengdu University of Technology.
ZHU Guang-sheng, GUI Zhi-xian, XIONG Xin-bin, et al. 1995. Relationships between density and P-wave, S-wave velocities [J]. Chinese Journal of Geophysics (in Chinese), 38(S1): 260-264.
Zoeppritz K. 1919. Erdbebenwellen vii. viib. über reflexion und durchgang seismischer wellen durch unstetigkeitsfl?chen. (1919), 66-84.
ZONG Zhao-yun, YIN Xing-yao, WU Guo-chen. 2012. Fluid identification method based on compressional and shear modulus direct inversion [J]. Chinese Journal of Geophysics (in Chinese), 55(1): 284-292, doi: 10.6038/j.issn.0001-5733.2012.01.028.
ZONG Zhao-yun, YIN Xing-yao, ZHANG Feng, et al. 2012. Reflection coefficient equation and pre-stack seismic inversion with Young’s modulus and Poisson ratio [J]. Chinese Journal of Geophysics (in Chinese), 55(11): 3786-3794, doi: 10.6038/j.issn.0001-5733.2012.11.025.
蔡涵鹏, 贺振华, 李瑞, 等. 2011. 两项AVO反演研究及应用[J]. 成都理工大学学报(自然科学版), 38(5): 581-587.
高刚, 贺振华, 曹俊兴, 等. 2013. 两项式弹性波阻抗反演方法在深层碳酸盐岩储层预测中的应用[J]. 石油地球物理勘探, 48(3): 450- 457.
宁忠华, 贺振华, 黄德济. 2006. 基于地震资料的高灵敏度流体识别因子[J]. 石油物探, 45(3): 239-241.
文晓涛, 黄德济. 2014. 礁滩储层地震识别[M]. 北京:科学出版社.
印兴耀, 张繁昌, 孙成禹. 2010. 叠前地震反演[M]. 青岛:中国石油大学出版社.
张广智, 杜炳毅, 李海山, 等. 2014. 页岩气储层纵横波叠前联合反演方法[J]. 地球物理学报, 57(12): 4141- 4149, doi: 10.6038/cjg20141225.
张瑞. 2017. 深层叠前反演与储层评价[硕士论文]. 成都理工大学.
朱广生, 桂志先, 熊新斌, 等. 1995. 密度与纵横波速度关系[J]. 地球物理学报, 38(S1): 260-264.
宗兆云, 印兴耀, 吴国忱. 2012. 基于叠前地震纵横波模量直接反演的流体检测方法[J]. 地球物理学报, 55(1): 284-292, doi: 10.6038/j.issn.0001-5733.2012.01.028.
宗兆云, 印兴耀, 张峰, 等. 2012. 杨氏模量和泊松比反射系数近似方程及叠前地震反演[J]. 地球物理学报, 55(11): 3786-3794, doi: 10.6038/j.issn.0001-5733.2012.11.025.