福建沿海地区地壳S波速度结构和泊松比分布特征

本文根据福建沿海地区人工地震测深剖面的单分量地震记录，对S波信息进行开发研究，通过对地震记录重新采样，数字处理与分析，获得了该区地壳S波速度模型，结果发现：福建沿海地区的地壳与上地慢S波速度结构可分为三层，即上地壳，中地壳和下地壳；在中地壳普遍发育一层速度为3.4-3.5km/s的低速层，厚度约3－4km；MOHO面深度，泉州以北最浅，仅为28km，宁德以南最深，为32km。结合P波速度模型，我们获得了该区地壳平均泊松（Poisson）比模型，漳州盆地和福州盆地平均泊松比值表现出异常高值，而泉州、淦溪地带的平均泊松比为相对低值，结果显示：泊松比值的大小与断裂交汇区，筘辊地热异常区具有良好的对应关系。     

云南的地壳S波速度与泊松比结构及其意义

利用远震三分量宽频数字记录获取了云南地区23个台站下方的体波接收函数, 以此反演得到云南地区的地壳S波速度结构与地壳泊松比的分布特征. 结果表明, 云南地区地壳厚度从北到南逐渐减小, 西北端的中甸地壳厚度可达62.0 km, 而最南端的景洪仅为30.2 km. 特别值得注意的是在楚雄地区存在一个近乎南北向走势的Moho面隆起区域, 在东川地区存在一个大概与之平行的Moho面凹陷. 另外, 云南地区地壳上地幔S波速度结构存在明显的横向不均匀性, 有的地区不但在上地壳10.0 ～ 15.0 km范围内存在低速层, 而且在下地壳30.0 ～ 40.0 km之间还存在低速层. 地壳泊松比整体偏高, 但与地壳的速度结构有较好的对应关系, 在这样一个高泊松比的背景上仍呈现出了明显的块体分布特征. 综合分析速度结构和泊松比分布, 发现在以小江断裂为东边界, 玉龙雪山断裂为西边界的"川滇菱形块体"上, 除了地震活动十分频繁外, 还具有高泊松比和复杂的壳幔速度结构特征. 这一特征与周边地区存在明显的差别, 这将为深入研究青藏高原岩石圈物质东向流动提供了地球物理学证据.     

利用气枪地震资料对福建及台湾海峡南部地壳三维P波速度结构研究

根据福建及台湾海峡南部海陆联测试验记录到的Pg和Pm震相走时数据,利用速度与界面联合成像方法构建地壳三维P波速度结构,揭示了该区地壳深部构造特征.结果表明：福建和台湾海峡海陆过渡带以及海峡南部地壳速度结构存在明显的不均匀性,滨海断裂两侧速度结构复杂,随深度呈现明显的分段特征,其上地壳海陆过渡带呈高速特性,台湾海峡呈低速特性;下地壳海陆过渡带呈低速特性,台湾海峡呈高速特性;研究区莫霍面的深度约为28~33 km,存在较明显差异,闽粤交接部位存在明显的地壳厚度减薄,莫霍面深度接近28 km,这与正常型华南活动地块与减薄型南海活动地块交汇致使地壳厚度减薄有关,体现了活动块体边界构造特征.历史大震主要发生在高低速异常过渡带且有深大断裂穿过的区域,现今中小震主要分布于闽粤海陆过渡带,这一特征可能与此地广泛发育的断层和华南与南海活动地块相互作用有关.     

滇西南地区地壳S波速度结构反演及强震孕震环境分析

基于滇西南地区31个宽频带地震台站记录的远震三分量波形数据,提取径向P波接收函数,以“中国地震科学实验场地区地壳剪切波速模型”为初始模型,进行精细化结构反演(垂向精度达2km级),并采用Bootstrap重采样技术进行统计和评估,获取了各台站下方的S波速度结构,结合地壳厚度、泊松比分布,对滇西南地区的地壳深部结构及强震孕震环境进行研究。结果表明:①研究区地壳S波速度分布在横向和垂向上均存在明显的非均匀特性。在中上地壳0～20km深度范围内存在明显且连续的低速层,平均厚度约15km,最大厚度达20km。在中下地壳20～28km深度范围内局部区域存在明显的低速层(厚度约8km),主要分布在普文断裂北端至阿墨江断裂中部区域(23°N附近),另外,在红河断裂附近和澜沧江断裂北部的局部区域也有分布; ②从孕震环境来看,景谷 M_S6.6 和 M_S5.8、墨江 M_S5.9 地震均发生在中上地壳低速层内,老挝 M_S6.0 地震发生在高、低速度的过渡区域。滇西南地区新生破裂带较为发育,地震波速的减小可能与地壳断裂或微裂隙中有流体的存在有关,研究区NW向新生破裂带的存在以及流体的长期作用,为带内高应变的突然释放提供了条件。另外,4个地震均发生在泊松比变化的高梯度带上,且地震发生处地壳厚度变化均较大。地壳厚度、泊松比变化剧烈的地区,地壳物质组成差异明显,壳内应变易于积累,有利于强震的诱发。     

利用数字地震记录研究唐山震区台下的P、S波速度结构

直接采集数字地震记录的原始 P波、S波记录波形 ,与利用 Haskell矩阵传递方法得到的理论综合地震图进行对比 ,通过不断调整介质模型 ,最后得到台站下方的体波速度结构模型 ,此方法中得到的 S波速度结构不同于通过其他波形转换而来的结果 ,而是同 P波一样从原始波形拟合而来 ,同时获得地震台下方 P、S速度介质模型 ,这为我们讨论地下介质的性质提供了更多的信息。数字地震波形资料取自于唐山市遥测地震台网陡河和滦县的短周期地震记录 ,共选用了震中距范围为 30～ 60°、震源深度为 1 0 0～ 60 0 km的 5个不同地点的深源远震记录资料。结果表明 ,台站下方的纵波和横波速度分层结构相当吻合 ,说明拟合结果相当可靠。两个台站下的地壳厚度均为 38km,速度结构在 1 3km的低速层处出现差异 ,滦县的低速层比陡河要更厚一些。两个台站的地壳速度结构都是高低相同 ,而且陡河的高低差异较滦县更为显著。唐山震区滦县部分的震源比陡河附近的浅 ,而 1 976年唐山 7.8级地震发生在陡河附近 ,可见地震的发生与壳内低速层的差异幅度有关。从泊松比高值来看 ,地幔顶部存在低速层 ,该区域是地幔上隆区 ,可能有部分熔融     

大别造山带地壳S波速度结构

在大别造山带深地震测深剖面H维P波地壳速度结构的基础上,从地震记录的水平分量得到S波地壳速度结构,并用P波和S波的资料共同约束地壳的组成.剖面上大多数炮点的记录均显示了清晰的Sg和SmS震相.在埠塔寺炮和金拱炮的记录上还较清晰地显示出莫霍界面的反射转换震相PmS,表明在相应的范围内莫霍界面是一级间断面.在Pn和SmS震相都比较强的记录截面图上缺少相应的Sn震相,表示在上地幄顶部泊松比随深度急剧增大,在这一深度上物质可能存在局部熔融状态.剖面的地壳泊松比模型表明,上地壳在深度10km以内泊松比为025左右,仅北淮阳弧后复理石带较低,为0.23;扬子板块和华北板块的下地壳泊松比为0.26-0.27;在大别选山带,上地壳下部泊松比为0.22-0.24,而下地壳泊松比为0.27-0.30,其中超高压变质带最高.P、S波速度和泪松比表明超高压变质带下地壳主要由基性麻粒岩组成.大别造山带中、下地壳组成的横向不均匀性反映了在三叠纪造山作用期间扬子板块向华北板块俯冲,以及存在与地慢物质相联系的岩浆侵入体.     

大别造山带地壳S波速度结构

在大别造山带深地震测深剖面H维P波地壳速度结构的基础上,从地震记录的水平分量得到S波地壳速度结构,并用P波和S波的资料共同约束地壳的组成.剖面上大多数炮点的记录均显示了清晰的Sg和SmS震相.在埠塔寺炮和金拱炮的记录上还较清晰地显示出莫霍界面的反射转换震相PmS,表明在相应的范围内莫霍界面是一级间断面.在Pn和SmS震相都比较强的记录截面图上缺少相应的Sn震相,表示在上地幄顶部泊松比随深度急剧增大,在这一深度上物质可能存在局部熔融状态.剖面的地壳泊松比模型表明,上地壳在深度10km以内泊松比为025左右,仅北淮阳弧后复理石带较低,为0.23；扬子板块和华北板块的下地壳泊松比为0.26-0.27；在大别选山带,上地壳下部泊松比为0.22-0.24,而下地壳泊松比为0.27-0.30,其中超高压变质带最高.P、S波速度和泪松比表明超高压变质带下地壳主要由基性麻粒岩组成.大别造山带中、下地壳组成的横向不均匀性反映了在三叠纪造山作用期间扬子板块向华北板块俯冲,以及存在与地慢物质相联系的岩浆侵入体.     

华北地区地壳上地幔S波三维速度结构

利用华北地区大型流动地震台阵的记录资料,采用近震和远震联合成像方法,得到了水平分辨率0.5°×0.5°、深至600 km的S波速度结构.研究结果表明,上地壳S波速度结构与地表地质构造基本一致,燕山—太行山山脉均呈现高速异常,延庆—怀来盆地、大同盆地表现为低速异常,华北盆地内部的拗陷和隆起分别呈现低速和高速.唐山地区中地壳、山西裂陷盆地中下地壳存在明显的低速异常,可能分别与流体和热物质作用有关,有利于形成孕育强震的地质构造环境.90 km的速度结构图像依然与地表的构造特征有较大的相关性,可能说明深部结构对地表构造有一定的控制作用.燕山隆起区岩石圈的厚度可达120～150 km左右,华北盆地的岩石圈厚度可能在80 km左右,太行山地区的岩石圈厚度介于两者之间.山西裂陷盆地上地幔低速层较厚,反映了该区不稳定的构造环境造成了地幔热物质的上涌.华北盆地下方220～320km出现的高速异常体,可能揭示了华北盆地上地幔仍然存在拆沉后残留的难熔、高密度的古老岩石圈地幔.研究区东部地幔转换带呈低速异常,推测可能与太平洋板块俯冲至该区下方地幔转换带前缘120°E左右的俯冲板块相变脱水有关.     

广东省东部地区的S波速度结构

利用广东省数字遥测台网记录到的2000年11月16日发生在所罗门群岛的两次Ms7．7和Ms7．8地震及2000年11月18日新爱尔兰地区的Ms7．3地震面波波形数据，测定了在广东地区汕头和韶关之间路径上的相速度频散曲线并反演得到了对应的地壳横波速度结构。结果表明该地区的地壳厚度为30km，上地壳横波速度变化较大，中下地壳相对均匀，没有发现地壳内部的低速层。     

四川区域地震台网的剪切波分裂研究

通过对成都数字地震台网2000年5月1日——2006年12月31日6年多资料的分析,使用剪切波分裂SAM系统分析方法,获得了四川地区8个地震台站的快剪切波偏振结果. 结果表明,四川地区大部分台站的快剪切波偏振优势方向主要为NE或NW方向;位于活动断裂上或几条活动断裂交汇部位的台站的快剪切波偏振优势方向,大多数与对选用的小地震起控制作用的活动断裂走向一致,或与区域主压应力方向一致. 但复杂的局部构造会影响剪切波分裂结果, 造成台站的快剪切波偏振优势方向与主要活动断裂走向不一致, 或与区域主压应力相差较大的现象.      

Understanding the fracture role on hydrocarbon accumulation and distribution using seismic data: A case study on a carbonate reservoir from Iran

The South Pars, the largest gas field in the world, is located in the Persian Gulf. Structurally, the field is part of the Qatar–South Pars arch which is a regional anticline considered as a basement-cored structure with long lasting passive folding induced by salt withdrawal. The gas-bearing reservoir belongs to Kangan and Dalan formations dominated by carbonate rocks. The fracture role is still unknown in gas accumulation and distribution in this reservoir. In this paper, the Scattering Index (SI) and the semblance methods based on scattered waves and diffraction signal studies, respectively, were used to delineate the fracture locations. To find the relation between fractures and gas distribution, desired facies containing the gas, were defined and predicted using a method based on Bayesian facies estimation. The analysis and combination of these results suggest that preference of fractures and/or fractured zones are negligible (about 1% of the total volume studied in this paper) and, therefore, it is hard to conceive that they play an important role in this reservoir. Moreover, fractures have no considerable role in gas distribution (less than 30%). It can be concluded from this study that sedimentary processes such as digenetic, primary porosities and secondary porosities are responsible for the gas accumulation and distribution in this reservoir.     

邯郸及周边地区地壳波速比与泊松比研究

通过对邯郸地震台网1984-2010年记录的当地及周边地震,计算当地的平均波速比及平均泊松比的值,对其间发生的ML4.0以上地震分析,并对波速比曲线及地震震级曲线进行对比分析,得出该地区平均波速比为1.691,平均泊松比为0.229,震前波速比有低值,以期通过本研究能对当地波速比对地震的约束规律提供积参考.     

小浪底水库区域波速比特征研究

利用小浪底水库架设的8个数字地震台观测数据,分析2008年9月-2011年12月记录的水库附近196次地震事件,采用和达法计算该区波速比值和泊松比值,结果表明:①小浪底区域波速比值在1.461-2.027,相关系数在0.9763-0.9995,平均波速比值为1.700,略低于地壳的平均波速比1.732,泊松比值在0.17-0.33,平均泊松比值为0.23;②反映了小浪底水库区域地下介质复杂的特性.     

Effects of uncertainty in rock-physics models on reservoir parameter estimation using seismic amplitude variation with angle and controlled-source electromagnetics data

This paper investigates the effects of uncertainty in rock-physics models on reservoir parameter estimation using seismic amplitude variation with angle and controlled-source electromagnetics data. The reservoir parameters are related to electrical resistivity by the Poupon model and to elastic moduli and density by the Xu-White model. To handle uncertainty in the rock-physics models, we consider their outputs to be random functions with modes or means given by the predictions of those rock-physics models and we consider the parameters of the rock-physics models to be random variables defined by specified probability distributions. Using a Bayesian framework and Markov Chain Monte Carlo sampling methods, we are able to obtain estimates of reservoir parameters and information on the uncertainty in the estimation. The developed method is applied to a synthetic case study based on a layered reservoir model and the results show that uncertainty in both rock-physics models and in their parameters may have significant effects on reservoir parameter estimation. When the biases in rock-physics models and in their associated parameters are unknown, conventional joint inversion approaches, which consider rock-physics models as deterministic functions and the model parameters as fixed values, may produce misleading results. The developed stochastic method in this study provides an integrated approach for quantifying how uncertainty and biases in rock-physics models and in their associated parameters affect the estimates of reservoir parameters and therefore is a more robust method for reservoir parameter estimation.     

Shear wave velocity models retrieved using Rg wave dispersion data in shallow crust in some regions of southern Ontario, Canada

Many crucial tasks in seismology, such as locating seismic events and estimating focal mechanisms, need crustal velocity models. The velocity models of shallow structures are particularly important in the simulation of ground motions. In southern Ontario, Canada, many small shallow earthquakes occur, generating high-frequency Rayleigh (Rg) waves that are sensitive to shallow structures. In this research, the dispersion of Rg waves was used to obtain shear-wave velocities in the top few kilometers of the crust in the Georgian Bay, Sudbury, and Thunder Bay areas of southern Ontario. Several shallow velocity models were obtained based on the dispersion of recorded Rg waves. The Rg waves generated by an m _N 3.0 natural earthquake on the northern shore of Georgian Bay were used to obtain velocity models for the area of an earthquake swarm in 2007. The Rg waves generated by a mining induced event in the Sudbury area in 2005 were used to retrieve velocity models between Georgian Bay and the Ottawa River. The Rg waves generated by the largest event in a natural earthquake swarm near Thunder Bay in 2008 were used to obtain a velocity model in that swarm area. The basic feature of all the investigated models is that there is a top low-velocity layer with a thickness of about 0.5 km. The seismic velocities changed mainly within the top 2 km, where small earthquakes often occur.     

中国东北地区远震S波走时层析成像研究

利用中国东北流动和固定台网的234个宽频带地震仪在2009年6月—2011年5月所记录的远震波形数据,采用波形相关方法拾取了10301个有效的S震相相对走时残差数据,进一步采用两种射线走时层析成像的方法,反演获取了研究区下方深达800 km的S波速度结构,不同射线走时层析成像方法的结果对本区的S波速度异常结构起到一定的约束作用.S波成像结果与我们先前开展的P波成像研究结果整体相似：在长白山下方发现有一个高速异常结构,这可能就是俯冲到欧亚大陆板块下方的太平洋板块,由于板块的部分下沉,使得板块的形状并没有呈现出明显的板片状.长白山、阿尔山、五大连池火山下方都有低速异常体,长白山和阿尔山下的低速异常向下延伸至地幔转换带附近,可能与其上部的火山形成有关.五大连池火山下方的低速异常向下延伸至200 km左右,不同埋深的低速异常结构可能意味着五大连池与长白山和阿尔山有着不同的成因.松辽盆地呈现以高速异常为主导、高低速异常混合分布的特性,暗示松辽盆地岩石圈地幔可能遭受了改造与破坏,可能有岩石圈拆沉的过程,盆地南部下方的低速异常与长白山和阿尔山下的低速异常有连通性,可能是下地幔热物质上涌的一个通道.S波和P波相似的成像结果从另一个角度展示了中国东北地区的上地幔速度异常结构,对我们认识此区的地下结构提供了重要的约束.     

Building more realistic reservoir optimization models using data mining - A case study of Shelbyville Reservoir

In this paper, we promote a novel approach to develop reservoir operation routines by learning from historical hydrologic information and reservoir operations. The proposed framework involves a knowledge discovery step to learn the real drivers of reservoir decision making and to subsequently build a more realistic (enhanced) model formulation using stochastic dynamic programming (SDP). The enhanced SDP model is compared to two classic SDP formulations using Lake Shelbyville, a reservoir on the Kaskaskia River in Illinois, as a case study. From a data mining procedure with monthly data, the past month’s inflow (Q_t−1), current month’s inflow (Q_t), past month’s release (R_t−1), and past month’s Palmer drought severity index (PDSI_t−1) are identified as important state variables in the enhanced SDP model for Shelbyville Reservoir. When compared to a weekly enhanced SDP model of the same case study, a different set of state variables and constraints are extracted. Thus different time scales for the model require different information. We demonstrate that adding additional state variables improves the solution by shifting the Pareto front as expected while using new constraints and the correct objective function can significantly reduce the difference between derived policies and historical practices. The study indicates that the monthly enhanced SDP model resembles historical records more closely and yet provides lower expected average annual costs than either of the two classic formulations (25.4% and 4.5% reductions, respectively). The weekly enhanced SDP model is compared to the monthly enhanced SDP, and it shows that acquiring the correct temporal scale is crucial to model reservoir operation for particular objectives.     

Influencing factors of seismic signals generated by un-tuned large volume airgun array in a land reservoir

Un-tuned large volume airgun array in a water reservoir is recently proposed as a new way to generate seismic waves on land. It can be used to explore the earth velocity structure and its temporal variations as well. However, the characteristics of seismic signals (especially far-field signals) from an airgun array in a reservoir and its affecting factors (firing pressure, airgun towing depth, water level of the reservoir, etc.) has not been adequately studied. We analyzed the seismic data collected from field experiments at Binchuan Transmitting Seismic Station in 2011 and 2013 and found that (1) The similarity of seismic signals decrease with distance, which is most likely induced by the decay of signal amplitude and signal to noise ratio (SNR); (2) The amplitudes of far-field airgun signals are almost linearly proportional to the firing pressure; (3) The towing depth of airgun has less effects on the far-field signals; (4) The amplitudes of far-field airgun signals are proportional to the water level of the reservoir.     

用地震资料估算珊溪水库岩层孔隙度和饱和度

本文首先从室内岩石力学实验数据出发,利用Biot-Gassmann方程和Pride模型建立的岩石骨架与岩石基质体积模量函数关系式求出珊溪水库区岩石基质模量和固结系数,然后分别利用联合地震波走时方程组和多台和达曲线求得P波速度和波速比,最后以流纹斑岩为例,计算了岩石饱和度、孔隙度,并分析了地震中造成的饱和度和孔隙度的变化。结果表明:(1)地震过程中岩石饱和度均大于99%,且大多为100%,即地震中岩石处于水饱和或接近水饱和状态,波速和波速比的变化主要由岩石孔隙度的变化引起。(2)珊溪水库震中区流纹斑岩孔隙度的上限值为6.6%~15.5%,下限值为3.6%~4.2%。下限值与地震前由实验室测得的孔隙度相近。如果实验室测得的流纹斑岩孔隙度是其初始值,则地震中岩石孔隙度增大了3.2%~12.09%。(3)2008年1月地震以后震中区岩石孔隙度逐渐闭合,直到2014年8月孔隙度开始迅速增大,9月15日起原震区再次发生一组新的地震活动,震群活动前岩石出现了扩容现象。