粘弹介质叠前四参数同步反演及应用

doi:10.11720/wtyht.2021.2470

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Abstract

Prestack seismic data contain elastic and viscoelastic information such as P-wave velocity,S-wave velocity,density and absorption attenuation parameters,among which absorption attenuation property is particularly sensitive to reservoir physical properties and fluid properties.Based on the accurate Zoeppritz equation of viscoelastic medium and the theory of medium decomposition,the authors established the characteristic equation of P-wave reflection coefficient including P-wave velocity,S-wave velocity,density and absorption attenuation parameters.Furthermore,under the constraint of Bayesian inversion framework,the simultaneous inversion of prestack four parameters was realized.The reliability of the method was verified by the trial of forward model.Finally,the method was applied to oil and gas identification in the eastern offshore exploration area of the Shengli Oilfield.Compared with things of the fluid factor based on elastic medium,the absorption and attenuation parameters obtained by the four-parameter simultaneous inversion method can more accurately characterize the distribution of oil and gas.

Key words： prestack inversion viscoelastic medium four-parameter simultaneous inversion fluid identification reservoir prediction

Received: 09 October 2019 Published: 01 March 2021

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	Articles by authors
	Hao-Jie LIU
	Yu-Mao CHEN
	Yan-Guang WANG
	Zhao-Yun ZONG
	Guo-Chen WU
	Qing-Jie HOU

Cite this article:

Hao-Jie LIU,Yu-Mao CHEN,Yan-Guang WANG, et al. Prestack four-parameter synchronous inversion method based on viscoelastic medium theory and its applications[J]. Geophysical and Geochemical Exploration, 2021, 45(1): 140-148.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2021.2470 OR https://www.wutanyuhuatan.com/EN/Y2021/V45/I1/140

Variation of reflection coefficient of first type AVO longitudinal wave with incident angle
a—Q_p=10;b—Q_p=20;c—Q_p=50;d—figure a local enlarged;e—figure b local enlarged;f—figure c local enlarged

Flow chart of synchronous inversion method based on prestack four parameters of viscoelastic medium

Forward modeling parameters of Marmousi2 model
a—P wave velocity;b—S wave velocity;c—density;d—Q value

Simultaneous inversion results of four parameters of Marmousi2 model
a—P wave velocity;b—S wave velocity;c—density;d—Q value

Seismic profile and prestack inversion profile of actual work area
a—seismic profile;b—clastic inversion fluid factor;c—absorption and attenuation parameter

Cross section of absorption attenuation parameters in actual work area
a—connecting section of fault uplifted side;b—connecting section of fault downthrow side

Simultaneous inversion of four parameters along NgI horizon in actual work area
a—P wave velocity;b—S wave velocity;c—density;d—absorption and attenuation parameters

[1]	李英, 秦德海. 基于流体替代的敏感弹性参数优选及流体识别在渤海B油田的应用[J]. 物探与化探, 2018,42(4):662-667.
[1]	Li Y, Qin D H. The optimization of sensitive elastic parameters based on fluid substitution and the application of fluid identification to Bohai B Oilfield[J]. Geophysical and Geochemical Exploration, 2018,42(4):662-667.
[2]	周家雄, 谢玉洪, 刘力辉, 等. 射线域频变AVO含气性识别探索与实践[J]. 物探与化探, 2018,42(1):127-133.
[2]	Zhou J X, Xie Y H, Liu L H, et al. Investigation and case study of frequency-dependent AVO in ray domain for gas detection[J]. Geophysical and Geochemical Exploration, 2018,42(1):127-133.
[3]	于豪, 张研, 李劲松, 等. 基于频谱分解的碳酸盐岩储层识别[J]. 地球物理学进展, 2013,28(3):1440-1446.
[3]	Yu H, Zhang Y, Li J S, et al. Identification of the carbonate reservoir based on spectral decomposion[J]. Progress in Geophysics, 2013,28(3):1440-1446.
[4]	李坤, 印兴耀, 宗兆云. 基于多频率分量的叠前AVO多尺度反演方法[J]. 安徽理工大学学报:自然科学版, 2017,37(3):38-44.
[4]	Li K, Yin X Y, Zong Z Y. Research on pre-stack multi-scale AVO inversion in frequency domain based on multi-frequency components[J]. Journal of Anhui University of Science and Technology:Natural Science, 2017,37(3):38-44.
[5]	何火华, 李少华, 杜家元, 等. 利用地质统计学反演进行薄砂体储层预测[J]. 物探与化探, 2011,35(6):804-808.
[5]	He H H, Li S H, Du J Y, et al. The application of geostatistic inversion method to predicting the thin sandstone reservoir[J]. Geophysical and Geochemical Exploration, 2011,35(6):804-808.
[6]	黄捍东, 张如伟. 胜利油田孤北地区隐蔽油气藏勘探方法[J]. 物探与化探, 2009,33(3):294-298.
[6]	Huang H D, Zhang R W. The exploration method for concealed hydrocarbon reservoirs:A case study of Gubei area in the shengli oil field[J]. Geophysical and Geochemical Exploration, 2009,33(3):294-298.
[7]	付勋勋, 张君学, 陈阵, 等. 基于S变换求取地层的品质因子Q值[J]. 物探与化探, 2013,37(1):113-116.
[7]	Fu X X, Zhang J X, Chen Z, et al. The estimation of quality factor based on S-transform[J]. Geophysical and Geochemical Exploration, 2013,37(1):113-116.
[8]	Wu Z W, Wu Y J, Xu M H, et al. Q-value estimation of prestack CMP gathers by continuous spectral ratio slope method[J]. Applied Geophysics, 2018,15(S1):481-490.
[9]	云美厚, 党鹏飞, 李伟娜, 等. 地层品质因子Q值地震反演问题剖析[J]. 石油地球物理勘探, 2017,52(1):189-198.
[9]	Yun M H, Dang P F, Li W N, et al. Analysis of Q value seismic inversion of formation quality factor[J]. Oil Geophysical Prospecting, 2017,52(1):189-198.
[10]	杨登锋, 秦成岗, 汪瑞良, 等. 能量谱质心频移法Q值估计[J]. 石油地球物理勘探, 2016,51(5):863-867.
[10]	Yang D F, Qin C G, Wang R L, et al. Q value estimation of energy spectrum centroid frequency shift method[J]. Oil Geophysical Prospecting, 2016,51(5):863-867.
[11]	钟晗, 刘洋. 频变AVO影响因素分析[J]. 石油地球物理勘探, 2017,52(4):783-796.
[11]	Zhong H, Liu Y. Influence factors on frequency-dependent AVO[J]. Oil Geophysical Prospecting, 2017,52(4):783-796.
[12]	王晓涛, 谭佳, 毛海波, 等. 强衰减条件下能量比法的修正及其应用[J]. 石油地球物理勘探, 2017,52(1):42-47.
[12]	Wang X T, Tan J, Mao H B, et al. A modified ration method in strong attenuation condition[J]. Oil Geophysical Prospecting, 2017,52(1):42-47.
[13]	李金丽, 李振春, 管路平, 等. 地震波衰减及补偿方法[J]. 物探与化探, 2015,39(3):456-465.
[13]	Li J L, Li Z C, Guan L P, et al. The method of seismic attenuation and energy compensation[J]. Geophysical and Geochemical Exploration, 2015,39(3):456-465.
[14]	段伟刚, 郑静静, 王延光, 等. 基于Teager能量的地层Q值提取及储层流体识别[J]. 地球物理学进展, 2016,31(1):411-416.
[14]	Duan W G, Zheng J J, Wang Y G, et al. Q value extraction and the reservoir formation fluid identification based on Teager energy[J]. Progress in Geophysics, 2016,31(1):411-416.
[15]	凌云, 杜向东, 曹思远. FAVO反演技术及其在深水砂岩储层中的应用[J]. 物探与化探, 2018,42(1):161-165.
[15]	Ling Y, Du X D, Cao S Y. FAVO inversion technique and its application to deep-water sandstone reservoir[J]. Geophysical and Geochemical Exploration, 2018,42(1):161-165.
[16]	王金伟. 利用AVO技术检测大庆长垣黑帝庙油层浅层气藏[J]. 断块油气田, 2017,24(5):632-636.
[16]	Wang J W. Detection of shallow gas reservoir in Heidimiao oil layer of Daqing Pluto by AVO technology[J]. Fault-Block Oil & Gas Field, 2017,24(5):632-636.
[17]	Futterman W I. Dispersive body waves[J]. Geophys. Res., 1962,7(13):5279-5291.
[18]	Innanen K A. Inversion of the seismic AVF/AVA signatures of highly attenuative targets[J]. Geophysics, 2011,76(1):1-14.
[19]	Ursin B, Stovas A. Reflection and transmission response of a layered isotropic viscoelastic medium[J]. Geophysics, 2002,67(1):307-323.
[20]	Teng L, Wang S, Cheng J. Probabilistic petrophysical properties estimation integrating viscoelastic AVA inversion with statistical rock physics[C]// 2012 SEG Annual Meeting,Society of Exploration Geophysicists, 2012.
[21]	王小杰, 印兴耀, 吴国忱, 等. 粘弹性介质地震波传播特征及反射特征研究[J]. 物探化探计算技术, 2012,34(3):258-267.
[21]	Wang X J, Yin X Y, Wu G C, et al. Charcteristics of seismic wave propagation and reflection in viscoelastic medium[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2012,34(3):258-267.