基于协克里金技术的陆相地层反演低频模型构建方法

doi:10.11720/wtyht.2023.0266

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Abstract

Low frequency model is an important part of seismic inversion,and its accuracy directly affects the precision of inversion.With the continuous deepening of exploration degree,the exploration of mid-deep continental strata has become a key area of offshore exploration.The lateral variation of sedimentation in continental strata is fast,and there are few wells drilled during the exploration phase.It is difficult to obtain accurate low frequency models through conventional interpolation methods,which restricts the accuracy of seismic inversion.To address these issues,we studied a low frequency model construction method based on co-kriging technology. Using spatially continuous seismic velocity data as auxiliary variables and high-resolution logging data as main variables,we integrated the auxiliary variable information into the estimation results through co-kriging interpolation method,thus compensating for the shortcomings of insufficient spatial measurement of the main variable data and obtaining a high-precision inversion low frequency model.This solves the problem of constructing low frequency models in areas with few wells.Practical application of the data shows that this method improves the accuracy of the inversion low frequency model compared to conventional methods,enhances the reliability of reservoir prediction,and has wide application prospects.

Key words： co-kriging seismic inversion low frequency model continental strata reservoir prediction

Received: 19 June 2023 Published: 23 January 2024

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	Articles by authors
	Ren-Jie CHEN
	Le-Yi Xu
	Ling LIU
	Huan ZHU
	Hao YI
	Man JIANG

Cite this article:

Ren-Jie CHEN,Le-Yi Xu,Ling LIU, et al. A low frequency model construction method for continental strata inversion based on co-kriging technique[J]. Geophysical and Geochemical Exploration, 2023, 47(6): 1595-1601.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2023.0266 OR https://www.wutanyuhuatan.com/EN/Y2023/V47/I6/1595

Comparison of the model before and after filtering in different frequency ranges

Crossplot of P-wave velocity with P-wave impedance and S-wave impedance
a—relationship between P-wave velocity and P-wave impedance;b—relationship between P-wave velocity and S-wave impedance

Characteristics of seismic velocity and logging velocity
a—comparison of logging velocity and seismic velocity at well points;b—spatial distribution characteristics of seismic velocity

Sedimentary facies map of the target layer

Well interpolation method P-wave impedance model along target layer attributes

Comparison of P-wave impedance along target layer attributes using different modeling methods
a—inverse distance weighting method;b—co-kriging

Characteristics of P-wave impedance profiles and seismic velocity profiles using different modeling methods
a—inverse distance weighting method;b—co-kriging;c—seismic velocity profile

Rock physical analysis results of the target layer

Prediction profile of high quality reservoir

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