地震分频迭代反演在薄层河道砂体预测中的应用

doi:10.11720/wtyht.2023.1175

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Abstract

The channel sand reservoirs in the Longfengshan area have the characteristics of typical lithologic reservoirs.This area has thin sand bodies,narrow channels,and strong vertical and horizontal lithologic heterogeneity.It is difficult to predict the reservoirs at a depth of 5 m or greater.The frequency-divided iterative inversion can fully utilize the full-frequency band seismic data and transmit the seismic information of different frequency bands and scales step by step,thus optimizing the inversion results.In this study,the seismic signal frequency bands were divided using the matching pursuit algorithm to obtain seismic data volumes of different scales.Under the constraints of log data,the low-frequency,large-scale inversion results were used as the initial model for the next-order frequency band inversion,and the inversion results.During the inversion,wavelets were adaptively selected using the correlation algorithm to enhance the inversion accuracy.Regularization parameters were adaptively selected based on the Bayesian theory to adjust the relationship between resolution and stability to achieve the optimal balance and avoid chaos in inversion.In 2019,gas reservoirs in subzones 1-2-6 and 1-2-8 of the Yingcheng Formation were encountered in the drilling of four wells in the Longfengshan area.This result is consistent with the inversion prediction results.Therefore,compared with conventional frequency division inversion,the method proposed in this study has the advantages of high inversion accuracy,coincidence with seismic information,and full application of frequency bands.This method can effectively improve the identification performance of thinly laminated channel sand bodies and guide the exploration and development of related lithologic reservoirs.

Key words： thinly laminated channel sand matching pursuit frequency-divided iterative inversion

Received: 19 April 2022 Published: 27 April 2023

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	Articles by authors
	Xian-Jun REN
	Zhong LI
	Ying-Long MA
	Ping DONG
	Xing-Da TIAN

Cite this article:

Xian-Jun REN,Zhong LI,Ying-Long MA, et al. Application of seismic frequency-divided iterative inversion in the prediction of thinly laminated channel sand bodies[J]. Geophysical and Geochemical Exploration, 2023, 47(2): 420-428.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2023.1175 OR https://www.wutanyuhuatan.com/EN/Y2023/V47/I2/420

Technical process of frequency division inversion

Multiscale properties of seismic signals
a—seismic channel spectrum analysis;b—seismic profile;c—time spectrum analysis of well bypass

Wavelet optimization flow chart

Well curves and seismic records

Well bypass time spectrum

Composite records before and after inversion

All scale inversion results

Multi scale decomposition of seismic data(left) and comparison of inversion profiles(right)
a—big scale(5~38 Hz);b—middle scale(38~70 Hz);c—small scale(70~110 Hz)

Comparison of frequency division iterative inversion(a) and conventional frequency division inversion(b) in target area(The curve in the figure is GR curve)

Comparison between cross well profile of frequency division iterative inversion and logging profile in target area (The curve in the figure is the total hydrocarbon curve)

1-2-6 sand body thickness of Yingcheng formation in target area

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