基于麻雀搜索算法的致密砂岩储层参数非线性反演方法

doi:10.11720/wtyht.2025.0120

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Abstract

With the ongoing exploration of hydrocarbon reservoirs, conventional linear inversion methods for conventional hydrocarbon reservoirs fail to meet the accuracy requirements for tight sandstone reservoirs.In response,this study,focusing on tight sandstone reservoirs,calculated expressions for P-wave velocity,S-wave velocity,and density in saturated rocks using inclusion models.A nonlinear reflection coefficient equation was established based on the exact Zoeppritz equations.Using the L₁-norm as the inversion objective function,a high-precision amplitude variation with offset(AVO) inversion method for reservoir parameter prediction was developed using the sparrow search algorithm(SSA).Compared to the conventional least-squares inversion results with the L₂-norm as the objective function,the proposed method improves the accuracy and resolution of the inversion results.It provides more reasonable and reliable predictions of petrophysical parameters and offers an effective approach for evaluating pore development and hydrocarbon content in tight sandstone reservoirs.The validity and practicality of this method are verified through model tests and application to actual data from tight sandstone reservoirs in the Ordos Basin.

Key words： sparrow search algorithm(SSA) nonlinear inversion amplitude versus offset(AVO) inversion high accuracy prediction of hydrocarbon-bearing reservoirs

Received: 15 April 2025 Published: 23 October 2025

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	Articles by authors
	Shao-He CAO
	Zhong-Qun HUANG
	Chun-Yan YUAN
	Bai-Zheng MA
	Qun-Wu WANG
	Kui ZHANG

Cite this article:

Shao-He CAO,Zhong-Qun HUANG,Chun-Yan YUAN, et al. Nonlinear inversion of tight sandstone reservoir parameters using the sparrow search algorithm[J]. Geophysical and Geochemical Exploration, 2025, 49(5): 1141-1154.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2025.0120 OR https://www.wutanyuhuatan.com/EN/Y2025/V49/I5/1141

The double-layer model contains gas-bearing sandstone and mudstone

The precision test results of reflection coefficient equations

The rock physical models

The synthesized seismogram

The inversion results of the synthesized seismogram with noise free

The inversion results of the synthesized seismogram with signal-to-noise ratio of 5

The absolute error between the inversion results and the true model under noise-free synthetic seismogram

The absolute error between the inversion results and the true model under a synthetic seismogram with a signal-to-noise ratio of 5

The partial stacked real seismic profiles

The inversion results of real seismic data under the new nonlinear method

The inversion results of real seismic data under the conventional method

Comparison of the well bypass inversion results of actual seismic data under different inversion methods and the filtered logging curves

Statistics of the normalized root mean square error between the inversion results of the sidetrack of the actual data and the filtered logging curve

The interlayer slice of the real seismic data K_f inversion result under the new nonlinear method

The interlayer slice of the real seismic data porosity inversion result under the new nonlinear method

The flow chart of pre-stack nonlinear inversion on the basies of SSA algorithm

The flow chart of pre-stack nonlinear inversion on the basies of gradient descent algorithm

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