气枪震源资料反褶积方法及处理流程研究

气枪震源具有极高的可重复性,可用于地下介质变化的监测。但不同工作条件下气枪震源产生的信号会存在细微差异,反褶积方法能在一定程度上消除由震源变化引起的记录信号变化。为了去除气枪震源子波信号,获取气枪源到台站之间的格林函数,通常需要选取一种恰当的方法对地震波形数据进行反褶积处理。频率域水准反褶积和时间域迭代反褶积是在接收函数等领域已被广泛使用的2种反褶积方法。本文以云南宾川主动源资料为例,对比了利用这2种方法处理气枪震源资料的效果,结果表明：在计算效率方面,频率域水准反褶积方法更具优势;在处理结果的信噪比方面,时间域迭代反褶积方法表现更好,P波初至也更清晰。此外,进一步讨论了在多炮资料的处理过程中反褶积和叠加等操作的顺序问题,最后提出了从气枪震源资料中提取气枪源到台站之间的格林函数的一般流程。     

气枪震源波形走时变化分析的反褶积处理

利用云南省宾川主动源基地周边10km范围内7个流动台站2017年2月气枪震源集中激发时段记录的气枪信号,使用干涉法计算了直接使用波形和将波形与参考台反褶积后的格林函数两种处理方法下气枪信号的走时变化。使用了气枪震源附近不同方位角的两个参考台的数据,以分析不同参考台对走时变化结果的影响。结果表明:反褶积能较为有效的压制气枪震源的时间、空间和频谱轻微不重复性导致的走时变化;反褶积能降低一些来源不明的伪走时变化;使用CKT2的数据反褶积的结果略优于CKT0,其可能原因是气枪阵列沿方位角的非均匀辐射。     

Analysis of the Frequency Domain Water-level Deconvolution Method Based on Reservoir Airgun Source Data

Based on the 2016 airgun experimental data of the Fujian Nanyi reservoir, we adopted the frequency domain water-level deconvolution method and cross-correlation time delay detection technique to study the influence of level scaling factor and the background noise level of the station on deconvolution calculation results, and analyze the effect of deconvolution on eliminating the influence of the source caused by different air-gun pressures. The results show that:(1) When the level scaling factor is smaller, the signal to noise ratio of the waveform after the deconvolution is smaller, and when the level scaling factor is over smaller, the identification error of travel time is greater. (2) When the SNR of the station record is higher, the recognition accuracy of travel time is higher, the influence of SNR on the reference station record is far greater than the far station, when the SNR of the far station record is more than 10, the error of travel time is within 6ms, but when the SNR of the reference station record is 30, the travel time error may reach to 20ms. (3) When the airgun source difference is big, the frequency domain water-level deconvolution method has better effect on eliminating the source influence, but the method error may be introduced when the source difference is small.     

The Seasonal Variation of Large Volume Airgun Signals in Hutubi, Xinjiang

In order to study the seasonal variation of large volume airgun signals in Hutubi, Xinjiang, we analyzed 2,936 signals of airgun source excitations during 2015-2016 received by a seismograph on the bank of the excitation pool. Firstly, the RMS value of the signal amplitude and the daily average temperature were compared after linearly superimposing the signal in days, to analyze the influence of the surface ice cover on the excitation energy release of the airgun source. The result shows that the ice cover will reduce the excitation energy, and the thicker the ice cover is, the more obvious the excitation energy reduces. Secondly, the time-frequency analysis method was used to analyze the influence of the surface ice cover on the signal frequency. It is concluded that the existence of the ice cover has little effect on the signal frequency, but it will affect the intensity of the signal around 4Hz between 1-2s after excitation. The cause of these phenomena is that the ice cover affects the bubble oscillation, which in turn affects the energy conversion. The study shows that when using the cross-correlation delay method to calculate the wave velocity, the signals can be divided into two periods according to the daily average temperature:with or without ice cover on the upper surface of the excitation pool. This can help eliminate the influence of the source variation and improve the accuracy of the monitoring results.     

An Experimental Study on Modulating the Large Volume Airgun Array Signals through Asynchronous Excitation

Large volume airgun arrays have been widely used in exploring and monitoring underground structures for nearly a decade. Nowadays, large volume airgun arrays adopt the synchronous excitation mode, and source characteristics are controlled by the source signal of a single airgun, which to some extent limits its application. In order to realize the asynchronous excitation of the airgun array, we developed a new firing system for the airgun array, and carried out a field experiment in the Binchuan Fixed Airgun Signal Transmission station to study the influences of the asynchronous excitation on the source signal. The experimental results show that:the newly developed airgun array firing system can ignite the airguns according to the setting time series with high precision. By designing the excitation time series, the asynchronous excitation can enhance the energy of airgun source signal at 3-5Hz, and reduce the energy of pressure pulse wave at 6-18Hz. The signal detection capability of the asynchronous excitation with time series mode is equivalent to the synchronous excitation.     

Reliability Evaluation on Weak Signal Extraction for Airgun Source Surveys

Based on the data synthesis simulation and the actual processing of the airgun seismic source signal, three quantitative indicators of signal-to-noise ratio, waveform correlation coefficient and phase offset, are superimposed. We systematically evaluate the functions of the following three stack methods including linearity, phase weighting and S-transform in the extraction of weak signals under strong background noise and quantitatively estimate the reliability of the stack results. Through the comprehensive discussion of the above three methods of stack results, the preliminary comparative analysis believes that the linear stack signal-to-noise ratio is low, but the waveform distortion is minimal; the phase-weighted superimposed signal-to-noise ratio is high and the phase offset is small, but the results of the waveform quality and linear stack are larger than the deviation; the S-transform stack has a relatively higher signal-to-noise ratio and a small loss of waveform amplitude, but there is a certain phase shift phenomenon. It is therefore suggested that linear stack technology should be used when the requirements of both waveform quality and time precision are high. However, the selection of the stack method when the airgun source excitation is limited should be emphasized. If high fidelity is required, the S-transform stack method should be selected; if the required time is high, accuracy can be selected by phase-weighted stack method to achieve reasonable extraction of weak signals.     

不同激发环境下井中气枪震源特征研究

基于单枪容量为250in3的BHS-2200LL井中气枪,在内径0.2、5.0m不同激发井中开展了气枪震源特征对比分析,研究表明：①5.0m井中气枪激发产生的信号优势频率集中在10～40Hz,比在0.2m井中的低,这主要是由于较大水体利于气泡的震荡;②在能量方面,5.0m井中激发信号的能量强于0.2m井中的,幅度上相差1个数量级,单次激发的传播距离可达9km;③2种激发环境下产生的气枪信号都具有较好的重复性。     

祁连山气枪主动震源浮台漂移钢索悬吊控制技术

针对地下介质动态变化监测研究中的信噪比、震源可重复性和波速精确测量等关键问题,利用大容量气枪作为主动震源,构建了一套高性能的主动源探测技术系统,该系统主要由气枪震源和信号接收部分组成。为了解决浮台偏离设定位置的问题 ,提出了浮台漂移控制技术。实验结果表明,该技术可以有效地解决气枪激发后浮台受到水流冲击作用而偏离设定位置的问题。本研究结果可为一定激发场地情况下的气枪主动震源重复探测工作所借鉴。     

Probability Data Screening Method in Airgun Signal Processing Application

The signal excited by the airgun source is weak, and is easily affected by human motion noise, instrument failure, and earthquake and blasting events, resulting in insufficient utilization of the amplitude information of the airgun signal. The effective removal of interference and the preservation of true amplitude information of the signal is difficult in airgun signal processing. Based on the randomness of noise and the highly repetitive characteristics of airgun signals, we propose probability data screening method. The airgun data from experiments conducted in the Ansha Reservoir and Shanmei Reservoir in Fujian Province in June, 2017 are taken as the research object to assess the effect in practical applications. The results show that the probability data screening method can automatically reject multiple interferences and effectively preserve the amplitude information of the signal by screening out large amplitude records in appropriate proportions. Compared with direct linear superposition, the probability-related linear superposition method can effectively reduce the impact of abnormal interference, and significantly improve the quality of the observed data.     

甘肃祁连山大容量气枪主动源最大探测范围

叠加甘肃和青海数字测震台网记录到的甘肃祁连山大容量气枪连续激发的大量观测波形。结果显示,单次激发的气枪震源信号最远可以在距气枪震源304km的古浪台(GLT)识别,通过110次叠加的信号最远可以追踪到412km的安西台(AXX),4 600次叠加的信号最远可以在距气枪震源677km的乌图美仁台站(WTM)观测到。研究结果可为提高甘肃祁连山大容量气枪主动源观测系统的监测能力和微弱信号的提取能力,探讨祁连山区域内部介质速度变化等工作提供重要的科学意义。     

A Comparative Study on the Excitation of Large Volume Airgun Source with Different Combinations in Hutubi, Xinjiang, China

In order to study the excitation of large-volume airgun source with different combinations in Hutubi, Xinjiang,China,we conducted a targeted experiment. The method of time-frequency analysis is used to study the signals recorded by a seismometer on the shore of the excited pool, and it is concluded that different gun combinations will lead to different frequency of bubble pulse signals. Besides, linear combination method is used to analyze the signal-to-noise ratios of signals excited by different gun combinations which was recorded by seismic stations around the airgun source. In order to improve the signal-to-noise ratios, it is more effective to increase the activation energy (the number of excited guns at the same time) than to stack the excited signals with smaller energy repeatedly.     

Numerical Simulation of the Binchuan Airgun Source Affected by Water Body

The numerical simulation of the influence of a reservoir water body on the Binchuan airgun source could provide a theoretical basis to analyze the data obtained from the active source detection and inversion of regional interior medium structures. Based on a medium model containing limited water body, we use the finite different method to simulate the effect of the water level, excitation energy and focal depth. The results show that the influence on the waveform amplitude caused by the water level changing is very large near the water body, and that a high water level or large amplitude change can have a larger effect. However, for stations beyond a certain epicentral distance, the influence will be weakened and kept stable. As for the Binchuan airgun source, amplitude fluctuation caused by the water level changing becomes very small(±0.05 times) after propagating a certain distance, so we can remove the influence of the water level changing by referring to the numerical simulation result. Wave amplitude increases linearly with the excitation energy and focal depth, therefore, the greater the energy and the deeper the focal depth, the better the effect of the excitation, and is more conducive in detecting remote and deep penetration underground structures.     

新疆地震台网对新疆呼图壁大容量气枪震源信号的接收能力及其影响因素分析

利用新疆地震台网资料和功率谱密度法,以台站噪声的功率谱密度中值曲线作为评估台站噪声水平的依据,对6个台站的噪声水平进行了评估。对比不同台站的功率谱密度和气枪震源信号的识别情况发现,通过2000次叠加,可以识别气枪震源信号的台站的噪声水平均低于无法识别气枪震源的台站,噪声功率谱密度最大差值为40dB,最小差值15dB。最后通过对噪声水平的评估,判断部分台站无法识别气枪震源信号的主要原因是台站噪声水平较高造成的。     

水库大容量气枪震源激发条件优化实验研究

Through manual pickup of seismic phases,the number of recording stations,the farthest observation distance of station and received energy are determined,then optimal operating condition processing software is developed to evaluate the excitation effect of operating conditions. The optimal operating conditions in the Mianhuatan Reservoir are determined using this software. They are: optimal water depth 25 m,airgun array sink depth 9m and airgun array size 7m × 7m. At the same time,accumulative stacking results for every 10 times are analyzed for 300 fixed-point excitations. It is concluded that the excitation effect shows a rapidly rising trend at 10 to 90 times stacking,a slowly rising trend at 100 to 150 times stacking,a rapidly rising trend at 160 to 240 times stacking,and a slowly rising trend at 250 to 300 times stacking. As the number of stacking increases,the propagation distance and the number of recording stations also increase gradually.     

Improving Airgun Signal Detection with Small-Aperture Seismic Array in Yunnan

Repeating airgun sources are eco-friendly sources for monitoring the changes in the physical properties of subsurface mediums, but their signals decay quickly and are buried in the noises soon after traveling short distances. Stacking waveforms from different airgun shots recorded by a single seismic station (shot stacking) is the most popular technique to detect weak signals from noisy backgrounds, and has been widely used to process the data of Fixed Airgun Signal Transmission Stations (FASTS) in China. However, shot stacking sacrifices the time resolution in monitoring to recover a qualified airgun signal by stacking many shots at distance stations, and also suffers from persistent local noises. In this paper, we carried out several small-aperture seismic array experiments around the Binchuan FAST Station (BCFASTS) in Yunnan Province,China, and applied the array technique to improve airgun signal detection. The results show that seismic array processing combining with shot stacking can suppress seismic noises more efficiently, and provide better signal-to-noise ratio (SNR) and coherent airgun signals with less airgun shots. This work suggests that the array technique is a feasible and promising tool in FAST to increase the time resolution and reduce noise interference on routine monitoring.     

气枪信号振幅叠加方法研究

由于气枪震源信号较弱, 容易受外界噪声或者地震等因素干扰, 而使得其真实的振幅被掩盖。 这些干扰记录若直接参与叠加容易导致振幅信息不可靠, 也会影响叠加效果。 为消除干扰影响, 提出概率筛选和噪声模型筛选振幅叠加方法, 以2018年6月在福建龙门滩水库和沙溪口水库的气枪实验数据为例, 从剔除干扰的能力、 波形形态、 振幅值等方面说明两种方法的实际效果, 并对比两者的优缺点。 研究结果表明: ① 两种筛选方法均能有效去除异常干扰, 经处理后的气枪信号的波形形态和最大振幅值与直接线性叠加基本一致; ② 对于固定台网台站, 噪声频谱方法可方便确认台站的运行状态, 及时筛除异常台站; ③ 对于灵敏度等信息不详的流动台站, 噪声模型筛选方法使用受限, 而概率筛选方法简洁, 适用性强。     

呼图壁气枪数据中面波振幅变化研究

利用新疆呼图壁气枪数据,在引入小波传播子方法测量到时延迟的基础上,进一步引入面波振幅作为监测地下介质变化的一个重要参数。结果表明:相对于到时的突跳,面波振幅能克服气枪源震源强度突变带来的测量不稳定;同时,通过面波到时延迟和振幅变化特征的模拟,发现面波振幅和到时延迟测量存在较好的正相关关系,且可以用介质速度变化所导致的聚焦和散焦效应来解释。面波振幅也可以作为较为稳定的参数来衡量地下介质的波速变化。     

大容量气枪震源长江定点激发信号检测

地学长江计划“安徽段实验”是大容量气枪震源在长江的首次激发。本文针对布设在气枪固定激发点附近的流动台和周边固定台接收到的气枪信号进行线性叠加分析近场和远场信号的时频特性,利用叠加结果检测气枪信号的传播特性,分析不同环境因素对信号传播距离的影响。结果表明：①近岸首台可以接收到清晰的压力脉冲、气泡脉冲的体波和面波信号;②气枪信号主频为5Hz左右,随震中距的增加,压力脉冲信号衰减很快,信号主频频带变窄;③对信号传播距离进行初步检测,最近的传播距离为180km,最远共有3个激发点传播达到260km,夜晚激发信号传播距离较远。     

利用固定台站分析长江激发气枪信号特征

“地学长江计划”安徽实验是以气枪震源为核心的大型主动源探测实验。通过在长江安徽段20个固定点定点激发气枪震源,结合109个固定台站、11条流动测线组成的观测网络,首次利用主动源实现了对长江流域安徽段约6万km2面积的三维地下结构探测。本文利用固定台站对长江激发气枪信号进行了分析,结果表明,长江中气枪信号激发效果良好,固定台记录中气枪信号可识别的最远距离达300km。对气枪信号绝对振幅的研究结果表明：① 50km处的气枪信号约为10nm量级,200km处的气枪信号小于1 nm;② 气枪信号强度的空间分布存在一定的方位各向异性,可能与长江的几何形状有关;③ 台站背景噪声对于提取气枪信号至关重要,高质量的固定台网为识别nm量级气枪信号提供了可能。     

Experiments on Exploration of Shallow Fine Structures and the Construction of the 1-D Velocity Model in the Pingtan Island, Fujian

112 short-period seismographs were set up in the 400km² area of Pingtan Island and its surrounding areas in Fujian. The combined observations of the airgun source and ambient noise source were carried out using a dense array to receive the 387 airgun signals excited around the island and one month of continuous ambient noise recording. The 1-D P-wave and S-wave shallow velocity model of Pingtan Island is obtained by the inversion of the airgun body wave''s first arrival time data, and the reliability of the velocity model is verified by using the surface wave phase velocity dispersion curve, which can provide initial model for subsequent 3-D imaging. The experimental results show that this experiment is a successful demonstration of local scale green non-destructive detection, which can provide basic data for shallow surface structure research and strong vibration simulation of the Pingtan Island.