利用物理建模分析 P 波、SV 波和 SH 波对储层参数的地震响应特性

GEOPHYSICS Pub Date : 2024-05-21 DOI:10.1190/geo2023-0454.1
Pinbo Ding, Feng Zhang, Xiangyang Li, Y. Chai
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引用次数: 0

摘要

储层参数的变化会导致地震响应特征的差异,从而反映出地层岩性和流体的变化。在此,对 P 波、SV 波和 SH 波场进行了地震物理建模和地震响应特性分析。在实验室中建立了地震物理模型,其中包括几组砂岩块,用于模拟储层参数,如不同的流体和粘土含量。实验室采集并处理了 P-P、SV-SV 和 SH-SH 波的二维波场数据。与 P 波相比,SV 波和 SH 波对石油和空气介质不敏感,几乎不受孔隙流体的影响,SH 波叠加剖面优于 SV 波叠加剖面。与 P- 波相比,剪切波对流体不敏感,受流体饱和度的影响较小。SH 波剖面在界面处的反射事件略好于 SV 波剖面。P 波的反射系数在 AVA 波段上变化很大,受流体等因素的影响也很大。SV 波在 AVA 集块上的反射系数变化没有 P 波那么大,SV 波和 SH 波更有利于识别该区块是否含有粘土。在地震成像方面,SH 波更为可靠。总之,这项研究有助于结合不同的地震波数据,更好地识别油气和描述储层。
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Analyzing the seismic response characteristics of P-, SV-, and SH- waves to reservoir parameters using physical modeling
Changes in reservoir parameters cause differences in seismic response characteristics, which can reflect changes in the formation lithology and fluids. Herein, seismic physical modeling and seismic response characteristic analysis of P-, SV-, and SH- wave fields were conducted. A seismic physical model was developed in the laboratory, which included several groups of sandstone blocks for simulating reservoir parameters, such as different fluid and clay contents. Two-dimensional wave field data of P-P, SV-SV, and SH-SH waves were acquired and processed in the laboratory. Compared with P- waves, SV- and SH- waves were insensitive to oil and air mediums and were almost unaffected by pore fluids, and the SH- stack profile was superior to the SV- stack profile. Compared with P- waves, shear waves are insensitive to fluids and are less affected by fluid saturation. The reflection events at the interface were slightly better for the SH- wave section than for the SV- wave section. The reflection coefficient of P- waves varied greatly on AVA gathers and was significantly influenced by factors, such as fluids. The variation in the SV- wave reflection coefficient on AVA gathers was not as significant as that of P- waves, and SV- and SH- wave were more conducive to identifying whether the block contained clay. The SH- wave was more reliable for seismic imaging. Overall, this study can assist in combining different seismic wave data for better hydrocarbon identification and reservoir description.
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