Sound velocity and related properties of seafloor sediments in the Bering Sea and Chukchi Sea

The Bering Sea shelf and Chukchi Sea shelf are believed to hold enormous oil and gas reserves which have attracted a lot of geophysical surveys. For the interpretation of acoustic geophysical survey results, sediment sound velocity is one of the main parameters. On seven sediment cores collected from the Bering Sea and Chukchi Sea during the 5th Chinese National Arctic Research Expedition, sound velocity measurements were made at 35, 50, 100, 135, 150, 174, 200, and 250 k Hz using eight separate pairs of ultrasonic transducers. The measured sound velocities range from 1 425.1 m/s to 1 606.4 m/s and are dispersive with the degrees of dispersion from 2.2% to 4.0% over a frequency range of 35–250 k Hz. After the sound velocity measurements, the measurements of selected geotechnical properties and the Scanning Electron Microscopic observation of microstructure were also made on the sediment cores. The results show that the seafloor sediments are composed of silty sand, sandy silt, coarse silt, clayey silt, sand-silt-clay and silty clay. Aggregate and diatom debris is found in the seafloor sediments. Through comparative analysis of microphotographs and geotechnical properties, it is assumed that the large pore spaces between aggregates and the intraparticulate porosity of diatom debris increase the porosity of the seafloor sediments, and affect other geotechnical properties. The correlation analysis of sound velocity and geotechnical properties shows that the correlation of sound velocity with porosity and wet bulk density is extreme significant, while the correlation of sound velocity with clay content, mean grain size and organic content is not significant. The regression equations between porosity, wet bulk density and sound velocity based on best-fit polynomial are given.     

中国黄渤海沉积物声速与物理性质研究

In order to investigate the correlation between a sound velocity and sediment bulk properties and explore the influence of frequency dependence of the sound velocity on the prediction of the sediment properties by the sound velocity,a compressional wave velocity is measured at frequencies of 25–250 k Hz on marine sediment samples collected from the Bohai Sea and the Yellow Sea in laboratory,together with the geotechnical parameters of sediments.The results indicate that the sound velocity ranges from 1.232 to 1.721 km/s for the collected sediment samples with a significant dispersion within the series measuring frequency.Poorly sorted sediments are highly dispersive nearly with a positive linear relationship.The porosity shows a better negative logarithmic correlation with the sound velocity compared with other geotechnical parameters.Generally,the sound velocity increases with the increasing of the average particle size,sand content,wet and dry bulk densities,and decreasing of the clay content,and water content.An important point should be demonstrated that the higher correlation can be obtained when the measuring frequency is low within the frequency ranges from 25 to 250 k Hz since the inhomogeneity of sediment properties has a more remarkably influence on the laboratory sound velocity measurement at the high frequency.     

含砂量变化影响海底沉积物压缩波速度的分析研究

本文通过对南海海底沉积物样品的声学物理参数和沉积粒度特征统计分析,发现了高、低含砂量沉积物的声学物理特征存在明显差异,建立了海底沉积物的含砂量与压缩波速度、孔隙度、含水量和密度等经验公式,分析了含砂量变化与沉积物的体积压缩模量和密度变化的关系,从声速理论基础上阐明了含砂量变化引起沉积物压缩波速度变化的内在原因是含砂量变化引起了体积压缩模量和密度发生了变化,说明了含砂量增大引起沉积物压缩波速度增大的内在原因是含砂量增大引起了体积压缩模量变化量大于密度变化量,从而在数据统计和理论分析结合基础上,论证了含砂量是影响海底沉积物压缩波速度的重要因素之一。这一研究对声学方法反演海底沉积物粒度参数和沉积物类型、地声参数转换模型的建立,以及对水声反演海底和海底资源勘探等方面都具有重要理论意义和应用价值。     

Analysis of the influences of physical parameters on sediment sound speed

Based on the core samples collected in different geological tectonic units in the southern South China Sea, the double parameter equations between sediment sound speed and physical parameters were developed. According to the double parameter equations, the influences of physical parameters (porosity, mean grain size, wet bulk density, and clay content) on sediment sound speed were analyzed. To analyze the sensitivity of each parameter in the double parameter equations, the error norm method was introduced. The most influencing physical parameters with relative order were analyzed using the error norm method. These results show that porosity has a major influence on the sound speed, and the most influential physical parameters on sound speed are as follows: porosity > wet bulk density > clay content > mean grain size.     

Acoustic-Physical Properties of Calcareous Seafloor Soils and Their Significance in Engineering Geology

—The basic features and acoustic-physical properties of calcareous seafloor soils in the tropicsea area are obviously different from those of sediments mainly composed of terrigenous materials in theSouth China Sea.Generally.calcareous soils.composed of carbonate particles of marine organism re-mains.have the characteristics of high water content.high porosity.low wet density.high sound velocityand greatly varied compressive strength Recogni/ing the differences between calcareous soils andterrigenous sediments and engineering geologic significance of calcareous soils is crucial for seafloorgeologic research and geotechnical survey for pile jacket platform foundation design.     

海底沉积物的基本地声结构与地声模型

为准确建立海底地声模型,本文探讨地声模型的基本组成和基本结构。通过样品实验室测量,分析南海海底表层沉积物的密度、孔隙度与声速随着埋深变化的关系,得出海底实际存在的低声速表面–声速缓慢变化类型、低声速表面–声速增大类型、高声速表面–声速缓慢变化类型和高声速表面–声速增大类型4种典型地声结构;对比钻探测量,分析黄海海底沉积物的密度、孔隙度与声速随埋深变化关系,得出海底地声模型分层特征与地声结构组合特征。研究表明,地声模型可以归结为4种基本地声结构的组合,通过与底层海水声速、同层内声速剖面以及与上层海底沉积物下表面声速的比较,可以建立各种海底地声模型;基于实验室测量法建立的地声模型可以作为参考地声模型,但需要考虑实际海底温度和压力梯度以及海底沉积物的频散特性等,借助于声速比校正法和频散性理论模型进行计算及修正。     

海南岛东南外海海底沉积物特征及其声学物理性质研究

分析研究了南海北部大陆架西南缘的海南岛东南外海海底沉积物声学物理特性,在多个航次中进行了海底沉积层取样、海水CTD测量、浅地层及旁侧声呐扫测等工作.在实验室里对沉积物样品进行声学参数、沉积学基本参数、物理力学参数和14C年龄测试等分析.根据多尔特曼公式求解出弹性模量、体积弹性模量、压缩系数、切变模量、泊松比和拉梅常数等六项沉积物弹性参数.分析结果表明在该海区海底沉积物的压缩波速为1.474~1.700 m/s,在不同的海区内有高低声速两类性质的沉积物分布;沉积物的切变波速为150~600 m/s;沉积物在100 kHz的声衰减为35~260 dB/m;沉积物的密度为1.4~2.0 g/cm3;沉积物的孔隙度为42%~88%.     

北部湾南部重力柱状样的MSCL地声学性质测量及分析

利用钻孔多参数连续记录仪(multi-sensorcorelogger,MSCL),对在南海北部湾南部海区所取得的6个孔重力柱状样进行了测量,获得了连续P波波速、湿密度和孔隙度数据。在室内实验室对柱状样分样之后的沉积物样品进行了孔隙度与湿密度的测定。利用不同的统计回归方法对所获得的6个柱状样的孔隙度与P波波速进行相关分析,并对比室内测量的P波波速、湿密度、孔隙度,建立了基于孔隙度数据对沉积物P波波速进行预测的方法,对MSCL测量方法的优缺点进行了讨论。结果表明,MSCL测量结果与实验室柱状样测定结果较为吻合。样品所在深度对声速的变化影响不大。孔隙度与声速的多项式回归,样条插值回归和GAM模型回归都获得了较高的相关系数,GAM模型可以提供一个较为接近测量值的声速预测方法。MSCL用来测量海底沉积物,可以获得大量的高密度、高精度的沉积物地声学及其他参数数据,但是,如果空气混入沉积物样品中则会导致MSCL测量结果失真。该研究为使用MSCL在区域海底地声学性质、恢复区域海洋沉积历史、海底地声学模型建立等研究提供了参考。     

南海南部海域岛礁区海底珊瑚砂声速影响因素的初步研究

通过对南海南部海域岛礁区科学考察数据资料的分析研究,得出了岛礁区海底珊瑚砂的纵波声速随孔隙度、含水量增大而减小,以及声速随中值粒径、湿密度增大而增大的统计结果,并在Biot和Wyllie的松散饱和水沉积物声速理论公式与模型基础上,解释了物理力学因素对海底珊瑚砂声速的影响机制,阐明了固相因素和液相因素的强弱变化引起声速增大或减小的理论原因,分析了各种声速经验公式在海底珊瑚砂声速估算上的精度差异,得出了有必要建立包括海底珊瑚砂在内的单一类型声速经验公式的初步结论。     

南黄海中部海底沉积物原位声速与物理性质相关关系

基于在南黄海中部获得的海底沉积物原位声速数据,分析讨论了原位声速与密度、含水量、孔隙比、孔隙度等沉积物物理性质参数的相关关系。通过回归分析建立了海底沉积物原位声速预测方程。结果表明,原位声速与上述物理参数之间具有良好的相关性,相关系数r均大于0.93。对比分析了原位声速预测方程与甲板声速预测方程的差异,两者最小相差15.8 m/s,最大相差31.3 m/s,平均差值约为22.6 m/s。将原位声速预测方程与其他研究者建立的声速预测方程进行了对比,结果表明不同声速预测方程存在明显差异,初步分析了存在差异的原因。     

Sea Floor Sediment and Its Acouso-Physical Properties in the Southeast Open Sea Area of Hainan Island in China

Acouso-physical properties of sea floor sediments in the southeast offshore sea area of Hainan Island on the northern continental shelf of the South China Sea are analyzed. In many cruises, conductivity-temperature-depth measurements of seawater, measurements of shallow stratum and side-scan sonar have been made. Acoustic parameters, basic sedimentary parameters, physical-mechanical parameters and ¹⁴C age, etc., have been measured. The sediment elastic parameters, including Young's modulus, bulk modulus, constrained modulus, rigidity modulus, Poisson's ratio, Lames constant, etc., have been calculated. Results show that the compression wave velocity of the seafloor sediment in the sea area ranges from 1474–1700 m/s, and there are high and low sound velocity sediment types in the different sea areas; the shear wave velocity is 150–600 m/s; at 100 kHz the sediment sound attenuation is 35–260 dB/m, the sediment density is 1.4–2.0 g/cm³; the sediment porosity is 42–88%. Sound field parameters and describing sound reciprocity between sea and seafloor are described.     

Composition and properties of glacigenic sediments in the southwestern Barents Sea

Abstract

The composition and properties of glacigenic sediments in the southwestern Barents Sea are described based on data from 33 shallow boreholes (< 143 m below seabed) and 11 seabed cores (<4.2m below seabed). The cores are tied into a regional seismostratigraphic framework, illustrating the relationships between different boreholes.

A massive, muddy diamicton (silty, sandy clay with scattered gravel) is found in nearly all cores. Average clay content (<2 pm) of this lithology is about 38%, but varies between about 25% and 50%. Short intervals of finely laminated, waterlain sediments or gravelly sand are cored in a few occasions. A high content of sand and gravel in the cores from near the Norwegian coast shows an influence of sediment input from the mainland, while material eroded from sedimentary rocks dominates farther offshore.

The data presented on physical properties include undisturbed and remolded undrained shear strength, natural water content, bulk density, compressional sound velocity (P waves), Atterberg consistency limits, effective preconsolidation pressure, and consolidation coefficient.

Prediction of overconsolidation from seismic mapping of erosional surfaces is confirmed by the borehole cores. High compaction is found both in Weichselian and older deposits, with a general increase in compaction toward the east as well as toward shallower water. Cores that are “underconsolidated” at their present burial depth are also reported.

The average compressional sound velocity is about 1780 m/s for the borehole cores, 1550 m/s for the seabed cores, and increases with increasing shear strength and consolidation. Both horizontal and vertical sound velocities are measured in several cores, and although the data have a considerable scatter, a slightly aniso‐tropic sound velocity is indicated.     

南海北部大陆架海底沉积物物理性质研究

用物理(声学的、工程地质的、扫描电子显微镜)等技术方法,综合分析了沉积物结构特征和工程力学性质,研究了颗粒接触、堆垒、孔隙等现象与物理性质之间的关系,得出了沉积物声学物理参数和应力一应变性质之间的关系。结果表明,南海北部大陆架海底沉积物有6种结构类型,其中混合接触结构类型的沉积物具有较高的抗压强度和声速,浅层海底存在着高、低声速分层的中尺度结构。     

Scale-dependent physical and geoacoustic property variability of shallow-water carbonate sediments from the Dry Tortugas, Florida

 Spatial variability of shallow-water carbonate sediments near Dry Tortugas, Florida, is scale-dependent. Wet bulk density, grain density, porosity, compressional wave velocity, and grain size variability generally increase down to 2.4 m vertically and 850 m laterally. Grain size is most variable, followed by porosity, wet bulk density, compressional wave velocity, and grain density bothvertically and laterally, consistent with Walther’s Law. Variability was empirically modeled by linear regression analysis to predict variability based on scale, characterize sediment property variability, and quantify sedimentisotropy.     

海底沉积物弹性参数计算方法及误差分析

由海底沉积物的纵波速、横波速及湿密度,根据岩土力学原理,整理出一组计算海底沉积物弹性参数的公式;以该公式计算了南海南部海域浅层沉积物的弹性参数,计算结果与已有文献资料数据做了比较,分析了两者误差的原因.     

砂质海底沉积物压缩波速与物理参数关系试验研究

砂土是主要的海底沉积物类型之一,明确砂质沉积物声学与物理性质的关系对海底底质和地层探测至关重要.本文利用超声探测仪和自制的试样制备测试装置,模拟制备不同沉积状态的砂土试样,同步开展超声测试和物理性质测试,探讨砂质沉积物声速测试方法及影响因素,揭示砂质沉积物压缩波速与物理参数的内在联系.试验结果和分析表明:换能器接触管壁...     

Geotechnical property variability of continental margin sediments: High‐resolution vertical and lateral data from the northern California slope

High‐resolution vertical and lateral gradients and variations in sediment mass physical properties were derived from measurements in box cores, on the scale of millimeters, tens of centimeters, and kilometers from typical, relatively broad areas of the northern California continental slope in the Cape Mendocino area at water depths from 380 to 940 m. Such data are important as a control on comparisons of different sediment suites, as well as providing limits for realistic flux calculations of dissolved inorganic and biochemical species and pollutants. The sediments studied have relatively constant organic carbon contents (OC ? 1.75 wt%) and bulk mineralogy. They range from silty sands (～45% sand, 40% silt) to clayey silts (～63% silt, ～35% clay) and are extensively bioturbated. Physical property variations between subcores (～25 to 35 cm in length), taken from the same box core, increase with increasing clay content. For coarse‐grained sediments, mean down‐core differences in physical property values between related subcores are small, averaging 3.6% for water content, 4% for porosity, 0.026 Mg/m³ for wet bulk density, and 0.1 for void ratio. Subcore variations for fine‐grained sediments are generally significantly larger, averaging 9.8% for water content, 1.52% for porosity, 0.027 Mg/m³ for wet bulk density, and 0.3 for void ratio (box core 125). Millimeter variations of physical properties from horizontal 12‐cm‐long subcores indicate a maximum range of lateral variation of 18.2% for water content, 8% for porosity, 0.14 Mg/m³ for wet bulk density, and ～ 0.6 for void ratio.     

用声速Cp和Cs判别沉积物性质

本文应用声速Cp和Cs对沉积物特性进行判别研究，给出了理论根据和实践的结果，表明高声连（Cp＞Co）的沉积物大多数为粗颗粒、低含水量和孔隙度；低声连（Cp＜Co）的沉积物大多数为细颗粒、高含水量和孔隙度。岩心声速垂向变化亦可以结合沉积相和环境因素判别出古海洋和地质事件。     

基于遗传BP神经网络的海底沉积物声速预报

在海底沉积物声速预报中,针对传统经验公式存在预测精度差、适用范围窄、缺乏物理意义等问题,在已有BP神经网络预测的基础上,运用遗传算法优化其初始权值和阈值的方法,构建出基于含水量、孔隙度的声速预报模型。将南沙海域采集得到的海底沉积物样品分为两部分,抽取120组涵盖陆架、陆坡、海槽等地貌单元的样品作为训练数据,另外剩余6组作为测试数据。经试验对比后发现,在对本区域进行声速预报时,宜采用遗传算法优化的BP神经网络,其要优于传统的单参数、双参数回归拟合预报方法和国内外其他学者所得到的经验公式。此种预报方法具有一定的科学依据和广泛的应用前景,可在今后为建立明确、统一的声速预报模型提供参考。     

基于 Biot-Stoll 模型声速反演中的参数选择——以南海南部沉积物为例

研究海底表层沉积物性质对海洋矿产资源探测、海洋工程建设等有重要的意义。Biot-Stoll模型可以模拟预测海底沉积物的物理性质,但采用不同的参数模拟的效果不同。Stoll参数是各种海洋环境下模型达到最佳预测的单一数值的形式;Schock参数则是对渗透率、孔隙大小、沉积物孔隙曲折度等修改后的函数表达式形式,更接近沉积物实际情况。采用Stoll参数和Schock参数分别计算了南海南部海区海底沉积物纵波速度,并对南海南部沉积物样品进行了计算和实测对比,结果表明,采用Stoll参数计算误差较大,平均为3.962%;采用Schock参数计算误差较小,平均为0.847%。因此,在南海南部海区采用Schock参数预测海底表层沉积物物理性质更准确。