3D FAVO技术在二连探区W区块的应用
The Application of 3D FAVO Technology in W Block of Erlian Exploration Area
DOI: 10.12677/AG.2023.139099, PDF,   
作者: 刘雷颂, 张 浩, 郭增虎, 吴占奎, 胡沙沙：中国石油东方地球物理公司研究院地质研究中心，河北 涿州；邢雅文：中国石油集团华北油田分公司勘探部，河北 任丘
关键词: FAVO；分方位；分频；裂缝；FAVO； Azimuth； Frequency； Fracthures
摘要: FAVO (即不同频率域AVO效应，应用方法为不同频率域进行AVO反演。)理论上可以实现，目前大部分实验都是基于单点及二维线，本次在二连探区W区块进行了三维数据域FAVO的实验。首先针对OVT数据的360˚方位进行炮检距分析，选取炮检距覆盖区域进行同相轴一致性处理。其次，分方位、分角度进行部分资料叠加，通过对各个部分叠加资料进行区内井合成记录标定，提取井旁道的地震子波，进行各向异性反演。再次，根据各向异性反演结果与该区目的层段断裂系统进行叠合对比，确定了该区裂缝的主要发育方向。最后，对裂缝的主要发育方向道集进行频带分析，并在有效频带进行不同频带及全频带AVO反演。各个频率带AVO反演结果与实际钻井进行对比分析，发现方位120~150˚低频段AVO反演结果与钻井实际情况吻合最好。
Abstract: FAVO (That is, AVO effect in different frequency domains, the application method is AVO inversion in different frequency domains.) can be realized theoretically. At present, most experiments are based on single point and two-dimensional line. The experiment of FAVO in 3D seismic data was carried out in W block of Erlian exploration area. Firstly, the 360˚ offset information of OVT data is analyzed, and the phase axis consistency processing is carried out in the information density uniform area. Secondly, the partial data of azimuth and angle are stacked, and the anisotropic inversion is carried out by calibrating the synthetic record of each part of the data and extracting the seismic wavelet of the well side channel. Thirdly, according to the superposition comparison between the anisotropic inversion results and the fault system of this layer in this area, the main development direction of fractures is determined. Finally, the frequency band analysis is carried out in the main development direction of the fracture, and the frequency division and full frequency band AVO inversion are carried out in the effective frequency band. By comparing the AVO inversion results of the drilled wells with those of each AVO inversion, the AVO inversion results of the low frequency band in the azimuth of 120~150˚ are in good agreement with the drilling situation.
文章引用：刘雷颂, 张浩, 邢雅文, 郭增虎, 吴占奎, 胡沙沙. 3D FAVO技术在二连探区W区块的应用[J]. 地球科学前沿, 2023, 13(9): 1032-1039. https://doi.org/10.12677/AG.2023.139099

参考文献

[1] 张以明, 刘震, 付升, 等. 二连盆地基底特征及演化新认识[J]. 石油地球物理勘探, 2019, 54(2): 404-416.
[2] 卫三元, 秦明宽, 李月湘, 等. 二连盆地晚中生代以来构造沉积演化与铀成矿作用[J]. 铀矿地质, 2006, 22(2): 76-82.
[3] 杨冰彬. 二连盆地裂谷构造演化[J]. 内蒙古石油化工, 2013, 39(14): 51-53.
[4] 于海飞. 二连盆地中新生代沉积构造演化与砂岩型铀成矿前景分析[J]. 河南理工大学学报(自然科学版), 2010, 29(S1): 6-10.
[5] 王华忠, 郭颂, 周阳. “两宽一高”地震数据下的宽带波阻抗建模技术[J]. 石油物探, 2019, 58(1): 1-8.
[6] 周佳和, 徐聪. “两宽一高”地震勘探技术在复杂油气勘探中的应用[J]. 世界地质, 2020, 39(2): 422-428.
[7] 乔会, 罗任植, 黄鹤飞, 王辉. OVT域处理技术在黄土塬区煤田三维地震勘探中的应用[J]. 陕西煤炭, 2022, 41(4): 72-76+94.
[8] 毛诗仙. OVT域的道集细分在栗子地区的应用[J]. 中国石油和化工标准与质量, 2021, 41(19): 155-156.
[9] 郑多明, 邹义, 关宝珠, 等. 基于OVT域五维道集碳酸盐岩叠前裂缝预测技术[J]. 物探化探计算技术, 2020, 42(1): 9-16.
[10] Zhao, Z., Kumar, D., Foster, D.J., Dralus, D. and Sen, M.K. (2018) A New Frequency-Dependent Reflectivity Model and Estimating Seismic AVO Attributes. In: SEG Technical Program Expanded Abstracts 2018, Society of Exploration Geophysicists, Houston, 416-420. [Google Scholar] [CrossRef] 
[11] Wang, K., Chen, X., Wang, D., et al. (2018) A New Insight into the Hydrocarbon Indicator of Tight Sandstone Reservoir. In: SEG Technical Program Expanded Abstracts 2018, Society of Exploration Geophysicists, Houston, 401-405. [Google Scholar] [CrossRef] 
[12] Zhao, X., Chen, S. and Li, X.-Y. (2018) Analysis of Fre-quency-Dependent AVO Responses in Inelastic Thin Interbedded Media. In: SEG Technical Program Expanded Abstracts 2018, Society of Exploration Geophysicists, Houston, 391-395. [Google Scholar] [CrossRef] 
[13] Lu, L., Yin, X., Zong, Z. and Li, K. (2018) Estimation of Fluid Mobility with Frequency-Dependent Bayesian Inversion. In: SEG Technical Program Expanded Abstracts 2018, Society of Exploration Geophysicists, Houston, 421-425. [Google Scholar] [CrossRef] 
[14] Huang, G., Chen, X., Luo, C., Li, J. and Li, X. (2018) Frequency Dispersion Quantification by Using FAVO Inversion Based on the Generalized Propagation Matrix. In: SEG Technical Program Expanded Abstracts 2018, Society of Exploration Geophysicists, Houston, 406-410. [Google Scholar] [CrossRef] 
[15] Tan, H., Gao, W., Duan, X. and Zhang, S. (2018) Spectral Compensation Technology Based on Low Frequency AVO Trend Constraint and Its Application in Hydrocarbon Detection. In: SEG Technical Program Expanded Abstracts 2018, Society of Exploration Geophysicists, Houston, 426-430. [Google Scholar] [CrossRef]