APPLICATION OF LOW FREQUENCY RECOVERY TECHNIQUE BASED ON HIGH-PERFORMANCE SPARSE ACQUISITION TECHNIQUE TO DONGFENGGANG AREA OF SHENGLI
-
摘要:
地震勘探中,地震波低频成分越来越受到重视, 而常规检波器记录中的低频有效成分难以被充分识别利用。基于检波器性能分析,通过布设低频检波器估计陆用压电检波器可恢复的最低有效频率并实现低频恢复;在此基础上,设计胜利东风港探区高性能低频检波器稀疏布设方案以及低频数据恢复流程。实际数据表明:对于胜利探区三维勘探,陆用压电检波器最低有效频率能够恢复至3 Hz,成像后的叠加剖面的精度和分辨率有显著提高。
Abstract:Recently, the low frequency components of seismic wave have received high attention in seismic exploration. However, low frequency components are difficult to identify from the geophone record and hard to apply. Based on analysis of the performance of the detector, we estimated in this paper the lowest frequency of land piezoelectric detector and made the low frequency recovered by applying low frequency detector (Power spectral density ratio method). Taking the Dongfenggang area of Shengli Oil Field as a case, we designed the acquisition schemes and low frequency recovery process based on high-performance sparse acquisition technique. The actual data show that the lowest frequency of land piezoelectric detector is 3 Hz and the accuracy and resolution of stack profiles have improved significantly.
-
Key words:
- sparse acquisition /
- low frequency recovery /
- high resolution
-
-
图 1 地震检波器自噪声对地震信号恢复的影响(据文献[10])
Figure 1.
图 2 根据信噪比划分检波器频段的示意图(据文献[10])
Figure 2.
-
[1] 刘振武, 撒利明, 张昕, 等.中国石油开发地震技术应用现状和未来发展建议[J].石油学报, 2009, 30(5):711-716. doi: 10.3321/j.issn:0253-2697.2009.05.013
[2] 李绪宣, 朱振宇, 张金淼.中国海油地震勘探技术进展与发展方向[J].中国海上油气, 2016 (1): 1-12. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zghsyq-gc201601001
[3] 王海波, 刘炎坤, 邹启伟, 等.辽河坳陷雷家致密油区单点高密度三维地震采集技术研究[J].地球物理学进展, 2016, 31(2): 782-787. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dqwlxjz201602038
[4] Krohn C, Ronen S, Deere J, et al. Introduction to this special section-seismix noise[J]. The Leading Edge, 2008, 27:163-165. doi: 10.1190/1.2840362
[5] Zhou H, Zou Z. Joint use of broadband and geophone sensors to quantify and retrieve low-frequencies [C] //SEG/EAGE Summer Research Workshop on Low Frequencies: their value and challenges, Snowbird, Utah, 2010.
[6] 李庆忠.从信噪比谱分析看滤波及反褶积的效果[J].石油地球物理勘探, 1986, 21(6):575-601.
[7] 朱加东.噪音对现代仪器性能影响的分析[J].物探装备, 1998 (4):27-30.
[8] Zou Z, Zhou H, Jiang F, et al. Assessing the reliability of low frequencies in geophone records[C]//SEG Technical Program Expanded Abstracts 2010. Society of Exploration Geophysicists, 2010: 121-126.
[9] Zhang Y, Zou Z, Zhou H. Estimating and recovering the low-frequency signals in geophone data[C]//SEG Technical Program Expanded Abstracts 2012. Society of Exploration Geophysicists, 2012: 1-5.
[10] Scherbaum F. Of Poles and Zeros: Fundamentals of Digital Seismology[M]. Berlin: Springer Science and Business Media, 2013.
[11] 邹志辉, 张翊孟, 卞爱飞, 等.常规检波器低频数据的评价与恢复及其在地震成像中的应用[J].石油地球物理勘探, 2016, 51(5): 841-849. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=sydqwlkt201605001
[12] Pavlis G L, Vernon F L. Calibration of seismometers using ground noise[J]. Bulletin of the Seismological Society of America, 1994, 84(4): 1243-1255.
-