地震散射波的高精度数值模拟与振幅分析

随着地震勘探要求和技术的不断提高,散射波地震勘探方法逐渐引起人们的重视,尤其在构造复杂地区的高精度勘探中,散射波理论具有广泛的应用前景.本文在讨论了现阶段几种散射波数值模拟方法的利弊后,设计了一种基于微扰论的FK域积分法,在散射场的二次震源和空间能量衰减处理两方面做了改进,其计算精度和效率均得到了提高.此外,采用该算法针对散射波动力学进行了正演模拟试算,从扰动介质空间分布和扰动量两个角度定量地分析了散射波振幅动力学方面的特征.在此基础上得到了五个经验常数,并给出了对应的计算公式和物理意义,通过这五个常数可以划分散射波不同形态的动力学特征.     

地震分析软件震相走时表文件结构研究

通过对现有地震分析软件所配置的震相走时表文件的结构类型及优劣进行分析,将震相走时表分为4种组合结构并分析其实用性。在IASPEI91震相走时表文件结构的基础上进行修改、补充和完善,从而提出了一种安全性高、适用面广、灵活性强、能存储各种结构走时表的新型走时表文件结构。应用这种新型结构震相走时表,地震分析软件可以灵活配置不同的走时表,实现精细定位,并为数字化测震台网快速利用测震资料编制和应用高精度的区域震相走时表创造了条件,对于地球深部构造研究具有一定的促进意义。     

埋藏岩溶洞穴垮塌深度定量图版及其在碳酸盐岩缝洞型储层地质评价预测中的意义

通过对岩溶洞穴垮塌的岩石力学原理及塔里木盆地奥陶系实钻资料的分析,基本明确了洞穴埋藏垮塌的控制因素是岩石抗弯强度、洞穴尺度、洞穴距风化暴露面的距离等,并得到了洞穴垮塌深度的定量图版。该图版对于钻前预测现今埋藏于地下的碳酸盐岩洞穴是否已经垮塌、洞穴埋藏演化史精确恢复以及对裂缝—洞穴型储层的评价预测具有较强的实践意义。     

定量地震地貌学研究进展

定量地震地貌学以三维地震数据为基础,通过对地貌特征参数的定量分析来了解盆地历史、沉积过程和填充构架,在沉积体系定量分析和储层表征方面为一新方向.其主要研究内容包括系统地质研究、地震属性分析、地貌特征定量分析、沉积单元交汇分析和沉积体系影响因素研究等五方面,核心为多数据融合及沉积单元形态定量数据的利用.定量地震地貌学在冲积河道、三角洲、浊积水道、水下扇储层特征及结构研究方面已取得较大突破,在地层沉积定量研究、储集体规模预测方面具有较大优势和前景.     

青藏高原北部地区地震基本活动状态定量评价

基于区域构造背景、应力场状态及动力学环境等,将青藏高原北部地区划分为4个相对独立的统计单元,即祁连山地震带、甘东南地区、柴达木一共和地块及库玛地震带.通过地震频度和b值拟合确定了各个地区不同下限震级的地震目录完整性起始时间;确定了各构造单元中强以上地震活跃与平静交替活动的特征;定量计算了在平均状态中强以上地震活动特征参数及平静阶段与活跃阶段地震活动特征参数;分别获得了各个区域在平均、活跃与平静状态下的小震活动状态参数.     

Towards quantitative evaluation of gas injection using time‐lapse seismic data

Of particular concern in the monitoring of gas injection for the purposes of storage, disposal or improved oil recovery is the exact spatial distribution of the gas volumes in the subsurface. In principle this requirement is addressed by the use of 4D seismic data, although it is recognized that the seismic response still largely provides a qualitative estimate of moved subsurface fluids. Exact quantitative evaluation of fluid distributions and associated saturations remains a challenge to be solved. Here, an attempt has been made to produce mapped quantitative estimates of the gas volume injected into a clastic reservoir. Despite good results using three accurately repeated seismic surveys, time‐delay and amplitude attributes reveal fine‐scale differences though large‐scale agreement in the estimated fluid movement. These differences indicate disparities in the nature of the two attributes themselves, which can be explained by several possible causes. Of most impact are the effects of processing and migration, wave interference effects and noise from non‐repeatability of the seismic surveys. This subject highlights the need for a more careful consideration in 4D acquisition, amplitude processing and use of true amplitude preserving attributes in quantitative interpretation.     

Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction

Cities are not only major contributors to global climate change but also stand at the forefront of climate change impact. Quantifying and assessing the risk potentially induced by climate change has great significance for cities to undertake positive climate adaptation and risk prevention. However, most of the previous studies focus on global, national or regional dimensions, only a few have attempted to examine climate change risk at an urban scale and even less in the case of a recent literature review. As a result, a quantitative assessment of climate change risk for cities remains highly challenging. To fill this gap, the article makes a critical review of the recent literature on urban-scale climate change risk assessment, and classifies them into four major categories of studies which jointly constitute a stepwise modelling chain from global climate change towards urban-scale risk assessment. On this basis, the study summarizes the updated research progresses and discusses the major challenges to be overcome for the seamless coupling of climate simulation between different scales, the reproduction of compound climate events, the incorporation of non-market and long-lasting impacts and the representation of risk transmission insides or beyond a city. Furthermore, future directions to advance quantitative assessment of urban-scale climate change risk are highlighted, with fresh insights into improving study methodology, enriching knowledge of climate change impact on city, enhancing abundance and accessibility to data, and exploring the best practice to provide city-specific climate risk service.     

Ecological periodic tables for benthic macrofaunal usage of estuarine habitats in the US Pacific Northwest

This study shows that spatially and temporally recurring benthic macrofauna-habitat patterns validate the ecological relevance of habitat types to benthic macrofauna and suggest they can serve as elements in ecological periodic tables of benthic macrofaunal usage. We discovered patterns across nine habitat types (intertidal eelgrass [Zostera marina], dwarf eelgrass [Zostera japonica], oyster [Crassostrea gigas] ground culture, burrowing mud shrimp [Upogebia pugettensis], burrowing ghost shrimp [Neotrypaea californiensis], shell, sand, mud, and subtidal) on a variety of benthic macrofaunal community state variables in Grays Harbor, Washington, USA and compared them to those in Willapa Bay, Washington, USA. There were nominal differences in benthic macrofaunal Bray-Curtis similarity between all the habitats investigated except eelgrass and oyster in both estuaries. Across-habitat patterns on mean benthic macrofaunal species richness, abundance, biomass, abundance of deposit, suspension and facultative feeders, a dominance and a diversity index for the five habitats common to both studies were the same on a rank measurement scale: eelgrass ≈ oyster > mud shrimp > ghost shrimp ≈ subtidal. The patterns for most of the habitats and benthic macrofaunal measures were the same on a ratio measurement scale.     

云南地区地震序列分类的定量讨论

本文通过对云南地区１９６５提以来１１６次大小地震序列的清理和归纳，引入了地震序列分类的时空强定量尺度，提出；表明震源区进人失稳状态的前震序列主要发生在主震前１０天，前震序列的最大震级５．５级；震群型地震序列在时间、地点上的确定应与震级有关，在时间上以同在地震孕期内为宜，７、６、５级分别不超过１年、半年、３个月，在地点上以同在地震孕震区内为２，７、６、５级分别不超过１００、５０、３０公里，震级上以小子等于０．５级为宜；主余震地震序列和孤立型地震序列的最大震级差分别是２．９级和３．３级     

Computer Monte Carlo simulation in quantitative resource estimation

The method of making quantitative assessments of mineral resources sufficiently detailed for economic analysis is outlined in three steps. The steps are (1) determination of types of deposits that may be present in an area, (2) estimation of the numbers of deposits of the permissible deposit types, and (3) combination by Monte Carlo simulation of the estimated numbers of deposits with the historical grades and tonnages of these deposits to produce a probability distribution of the quantities of contained metal.Two examples of the estimation of the number of deposits (step 2) are given. The first example is for mercury deposits in southwestern Alaska and the second is for lode tin deposits in the Seward Peninsula.The flow of the Monte Carlo simulation program is presented with particular attention to the dependencies between grades and tonnages of deposits and between grades of different metals in the same deposit.