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。     

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。     

甘肃祁连山主动源不同枪组激发效果对比

大容量气枪震源激发探测因具绿色环保、传播距离远和高度重复性等特点成为地下介质探测的新方法,利用其进行地下介质物性变化高精度探测,则对不同激发条件下气枪传播信号的一致性提出要求。本文选取了祁连山主动源不同枪组（4支和3支气枪）在激发环境一致情况下分别激发时各远台波形记录,通过信号叠加、互相关及频谱分析等方法,对比分析了各台站记录的不同枪组激发信号,及其与震中距的关系,并讨论了不同枪组激发对地下介质走时变化观测的影响。结果表明：（1）不同枪组的激发信号波形相关度随震中距增大而降低,信号震相随激发能量有微弱的变化,震中距超过50 km后其变化几乎分辨不出;（2）远台接收信号的能量大小随主动源激发能量变化,各台站能量变化主要体现在优势频率范围内;（3）接收台站台基越坚固不同激发能量均方根振幅比越小;（4）叠加一定数量的波形可以有效提高远台记录信号的信噪比,增加气枪激发能量则相对更容易提高信号信噪比。     

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.     

TEMPERATURE EFFECTS ON AIRGUN SIGNATURES1

Experiments in an 850 litre water tank were performed in order to study temperature effects on airgun signatures, and to achieve a better understanding of the physical processes that influence an airgun signature. The source was a bolt airgun with a chamber volume of 1.6 cu.in. The pressure used was 100 bar and the gun depth was 0.5 m. The water temperature in the tank was varied between 5°C and 45°C. Near-field signatures were recorded at different water temperatures. Typical signature characteristics such as the primary-to-bubble ratio and the bubble time period increased with increasing water temperature. For comparison and in order to check whether this is valid for larger guns, computer modelling of airguns with chamber volumes of 1.6 and 40 cu.in. was performed. In the modelling the same behaviour of the signatures with increasing water temperature can be observed. The increase in the primary-to-bubble ratio and the bubble time period with increasing water temperature can be explained by an increased mass transfer across the bubble wall.     

High-speed photography of the bubble generated by an airgun1

High-speed photography has been used visually to study the shape, surface, turbulence and behaviour of an underwater oscillating bubble generated by an airgun. The source was a BOLT airgun with a chamber volume of 1.6cu.in., placed in a 0.85m³ tank at 0.5m depth. Near-field signatures were also recorded in order to compare the instant photographs of the oscillating bubble with the pressure field recorded about 25 cm from the gun. Estimations of the bubble-wall velocity and bubble radius estimated from high-speed film sequences are also presented, and are compared with modelled results. The deviation between the modelled and measured bubble radii was at most 9%. In order to check the capacity for transmission of light through the bubble, a concentrated laser beam was used as illumination. We found that the air bubble is a strong scattering medium of laser light, hence the bubble is opaque.     

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。     

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.     

Amplitude variation characteristics of active source airgun signals at Qilian Mountain

In this study, Qilian Mountain active source airgun signals recorded at 79 stations were obtained after stacking waveforms from July 2015 to December 2016. Based on analysis of the amplitude variation characteristics of the airgun signals, the following conclusions were drawn:along the NW-SE fault distribution direction of the Qilian Mountain area, the decrease in amplitude of airgun signals was relatively slow in relation to the epicentral distance, while the decrease in amplitude in the direction perpendicular to the fault was relatively fast. This difference may be related to the energy loss of seismic waves reflecting and scattering by the regional faults mainly distributed along the NW-SE direction, which are caused by tectonic compression of the Qinghai-Tibet and Alxa blocks.     

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。     

Characteristics of the Seismic Waves from a New Active Source Based on Methane Gaseous Detonation

Active seismic sources are critical for obtaining high resolution images of the subsurface. For active imaging in urban areas, environment friendly and green seismic sources are required. In present work, we introduce a new type of green active source based on the gaseous detonation of methane and oxygen. When fired in a closed container, the chemical reaction, i.e. gaseous detonation, will produce high pressure air over 150MPa. Seismic waves are produced when high pressure air is quickly released to impact the surroundings. The first field experiment of this active source was carried out in December, 2017 in Jingdezhen, Jiangxi Province, where a series of active sources were excited to explore their potential in mine exploration. In current work, we analyzed the seismic waves recorded by near-field accelerators and a dense short-period seismic array and compared them with those from a mobile airgun source, another kind of active source by releasing high pressure air into water. The results demonstrate that it can be used for high resolution near surface imaging. Firstly, the gaseous detonation productions are harmless CO₂ and water, making it a green explosive source. Secondly, the dominant seismic frequencies are 10-80Hz and a single shot can be recorded up to 15km, making it suitable for local structure investigations. Thirdly, it can be excited in vertical wells, similar to traditional powder explosive sources. It can also act as an additional on-land active source to airgun sources, which requires a suitable water body as intermediate media to generate repeating signals. Moreover, the short duration and high frequency signature of the source signals make it safe with no damage to nearby buildings. These make it convenient to excite in urban areas. As a new explosive source, the excitation equipment and conditions, such as gas ratio, sink depth and air-releasing directions, need further investigation to improve seismic wave generation efficiency.     

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.     

Study on the Influence of Airgun Excitation Conditions on Airgun Signals and Travel Time Variation Measurements

Because of the different excitation conditions of the airgun source, there will be subtle differences in airgun signals. Travel time variation of airgun signals often mix into source information which can''t fully reflect the evolution of the medium. This article uses the airgun signals from the Binchuan Transmitting Seismic Station to analyze the airgun signal''s characteristics of phase and correlation. We conducted a comparative analysis of the effects of the pair difference method and the deconvolution method on eliminating the influence of the excitation conditions in travel time variation. The results show that:(1) The pressure pulse and its subsequent wave of airgun source wavelet are less affected by excitation conditions that we can use it to obtain high-precision excitation moments. (2) Deconvolution can improve the correlation of the airgun signal. (3) The pair difference method can''t eliminate the influence of excitation conditions in travel time variation. Deconvolution can reduce excitation condition interference and the influence of the excitation condition in the travel time variation after deconvolution of the vertical signal is significantly reduced.     

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.     

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。     

大容量气枪震源子波时频特性及其影响因素

通过分析福建街面水库气枪实验的近场水听器记录,研究气枪子波时频特性及其受沉放深度和工作压力的影响,并结合气泡模型解释气泡振荡过程。数据分析表明：①气枪子波由主脉冲和气泡脉冲组成。主脉冲振幅大,持时短,频带宽,通常应用于浅部探测;气泡脉冲能量集中在低频段,垂直穿透深,水平传播远,通常应用于深部探测。②随沉放深度的增加,主脉冲振幅变化很小,气泡脉冲振幅增加,初泡比减小,气泡周期减小,低频段主频增加。沉放深度为10m时,主脉冲振幅和初泡比最大,可应用于浅部探测;沉放深度为25m时,气泡脉冲振幅很大,初泡比最小,可应用于深部探测。③工作压力增加时,主脉冲振幅、气泡脉冲振幅、初泡比、气泡周期等随之增大,低频段主频则减小。     

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.     

利用反投影方法计算陆地有限水体气枪震源激发过程

陆地大容量气枪震源可用于区域尺度地球物理结构及变化的勘测.对气枪震源在有限水体内震源过程的研究,有助于我们深入了解气枪信号机制及气枪信号不同震相产生的成因.然而由于有限水体中大容量气枪激发的复杂物理过程,特别是复杂固液界面的存在,目前却没有较好的理论模型用以描述陆地气枪震源信号的能量传播特征.反投影方法是一种计算震源破裂过程的方法,能在动力学参数有限的情况下得到较优的结果.本文以此提出了一种修改的反投影方法,以用于模拟气枪震源激发过程中的能量分布图像.将气枪的激发分解为五个简化的物理过程,并分别建立数值模型,计算每个模型的理论波场,用作新方法的输入数据.通过对五个数值模型的数据计算发现,该方法可以准确地得到气枪激发后水体中的波场形态的变化,能够分辨出气枪激发过程中的气枪激发、气泡上浮、气泡震荡等过程,刻画能量分布特征,并且发现水听器足够密集与合理布置能达到更好的效果.该方法可以为气枪震源的快速评估及气枪震源的有效应用提供参考.     

Regional Scale Seismological Investigation on the Continent Crust Using Airgun Sources——A Perspective Review

The investigations on the structure and temporal variations of the continent crust have been the long-lasting topics of seismology. The artificial sources play the most important role in these studies for their well-known locations and occur times among all the sources producing elastic waves, so that precise results are obtained. In past decades, we have successfully excited the airgun sources in on-land water bodies such as reservoirs, expanding their applications in marine seismology. Large volume airguns have been used to produce low frequency signals which can travel hundreds of kilometers after stacking, providing a source connecting the exploration seismology and traditional seismology at regional scale. In this review, we introduce the changes through which we turn the airgun into scientific instruments by experiments. We also present the advances on imaging the continental crust structure and monitoring the velocity variations using the highly repeatable signals emitted by airgun sources. The potential applications such as imaging the subsurface of urban areas and high resolution illuminating of mines are proposed and the challenges for further investigations are also discussed.     

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.