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991.
张昆山 《沉积与特提斯地质》2019,39(1):89-95
结合区域沉积背景,应用BS1-1取心井资料进行泥岩颜色、岩石组合、沉积结构、构造、粒度分布、沉积韵律等相标志分析,对BS油藏沉积微相特征进行了深入研究,分析了沉积微相对油气分布的控制作用。BS油藏PI油层组为扇三角洲前缘远端沉积,水下分流河道分布范围有限,仅在断层附近发育,河道前端受湖浪作用改造明显,前缘席状砂发育,偶见远砂坝,河道间微相不发育。沉积微相类型控制了储层类型及其展布方式和储集性能,沉积微相展布对油气分布具有明显的控制作用,水下分流河道生储盖组合良好,为油气有利富集相带。 相似文献
992.
雄安新区蓟县系雾迷山组中赋存丰富的地热资源,研究雾迷山组岩溶热储特征及优质储集层发育的主控因素是地热资源勘探的基础。综合运用野外剖面、岩心、薄片、钻井、测井、录井等地质与地球物理资料,对雾迷山组岩溶热储特征和演化过程进行了深入研究,明确了优质储集层形成的控制因素,预测了有利靶区。结果表明,雾迷山组岩溶热储主要岩性为晶粒白云岩、颗粒白云岩、微生物白云岩、硅质白云岩和角砾白云岩等,溶蚀孔洞、裂缝及其组合为主要的储集空间类型。雾迷山组热储平均孔隙度为3.18%,平均渗透率为91.48×10-3 μm2;其中角砾白云岩物性最好。雾迷山组岩溶热储经历了沉积—准同生期成孔(雾迷山沉积期)、Ⅰ期表生增孔(雾迷山沉积期后至青白口纪前)、Ⅰ期埋藏减孔(青白口纪前至三叠纪)、Ⅱ期表生增孔(三叠纪—古近纪)、Ⅱ期埋藏减孔(新近纪—第四纪)5个阶段,岩性及岩相、成岩作用和构造应力是雾迷山组有利热储形成的主控因素。藻云坪—云坪相、表生岩溶、埋藏溶蚀、准同生岩溶、岩溶高地—斜坡和地层裂缝段比率大于0.4的6项叠合区是研究区最有利的岩溶热储发育区。 相似文献
993.
994.
泥石流易损度(危害性)评价是泥石流风险评估的重要组成部分.结合熵值法和突变理论的泥石流易损度评价方法,采用客观的熵值法判断指标间相对重要程度,利用突变级数法计算突变级数值进行评价,方法理论基础牢固且避免了确定指标权重值的弊端.以吉林省和龙市地质灾害调查与区划中的10条泥石流易损度评价实例进行验证,结果表明:数据获取、标准化和评价过程简便,易损度等级以轻度和中度为主的评价结果符合实际情况,该方法经过完善指标体系后可更加合理地应用于实际工作中.因此,基于熵值法和突变理论的泥石流易损度评价方法是可行的、可靠的. 相似文献
995.
996.
云南澜沧老厂是三江成矿带南段最重要的铅锌铜钼多金属矿床之一.根据不同的赋矿特征、含矿岩性、矿石构造及成矿元素将澜沧老厂多金属矿床矿石类型系统地划分为铅锌硫化矿石、铅锌氧化矿石、颗粒状含铜黄铁矿石、块状含铜黄铁矿石、夕卡岩型矿石及斑岩型钼矿石6种类型.矿体产状、微量元素地球化学、年代学证据均表明铅锌硫化矿石、颗粒状含铜黄铁矿石及块状含铜黄铁矿石为火山喷流沉积型成因(VMS型),而铅锌氧化矿石、夕卡岩型矿石及斑岩型钼矿石为斑岩热液型成因.其中,铅锌硫化矿石、颗粒状含铜黄铁矿石及块状含铜黄铁矿石的主控矿因素为地层;铅锌氧化矿石为构造;夕卡岩型矿石为岩性;斑岩型钼矿石为岩体. 相似文献
997.
利用薄片、扫描电镜、物性及压汞等资料,对金龙2地区三叠系上乌尔禾组二段(P_3w_2)低渗(含砾)砂岩储层孔隙结构及其影响因素进行了研究。结果表明:①乌二段属于低孔低渗储层,根据压汞曲线参数特征,将其孔隙结构划分为三类。②成岩作用控制了储层孔隙结构,定量计算结果表明,乌二段视压实率平均为53.54%、视胶结率平均为47.53%、视溶蚀率平均为13.84%、视微孔隙率平均为60.67%,表现为中等压实、中—强胶结、弱溶蚀、微孔发育等特征;压实作用、胶结作用、微孔隙发育主要控制储层孔隙结构的形成。③引入成岩综合指数来定量表征各种成岩作用的综合强度,其与储层孔隙结构参数(排驱压力、分选系数)以及储层品质因子(RQI)具有较好的统计相关关系,Ⅰ类储层成岩综合指数大于8%,Ⅱ类储层成岩综合指数为2%~8%,Ⅲ类储层成岩综合指数小于2%。因此,可以利用成岩综合指数定量评价储层孔隙结构。 相似文献
998.
A modified approach for semi-quantitative estimation of physical vulnerability of buildings exposed to different landslide intensity scenarios 总被引:1,自引:0,他引:1
Aditi Singh Shilpa Pal 《Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards》2019,13(1):66-81
Landslides are the most common natural disasters in mountainous regions, being responsible for significant loss of life as well as damage to critical infrastructure and properties. As the world population grows, people tend to move to higher locations to construct buildings, thereby making structures vulnerable due to landslides. This paper discusses previous research on the vulnerability assessment of structures exposed to landslides and presents a modified semi-quantitative approach to assess the scenario-based physical vulnerability of buildings based on their resistance ability and landslide intensity. Resistance ability is determined by integrating expert knowledge-based resistance factors assigned to five primary building parameters. Landslide intensity matrix defining different intensity levels is proposed based on combinations of landslide velocity and volume. Physical vulnerability of buildings is estimated and classified as class I, II or III for scenario-based low to very high landslide intensity. Finally, the application of the model is illustrated with a case study of 71 buildings from Garhwal Himalayas, India. 相似文献
999.
Kok-Kwang Phoon 《Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards》2019,13(2):101-130
The calculated response from a numerical model will deviate from the measured one given the presence of modelling idealizations and real world construction effects. This deviation can be directly captured by a ratio between the measured and the calculated quantity. The ratio is also called a model factor in many design guides. The probabilistic distribution of the model factor is arguably the most common and simplest complete representation of model uncertainty. The characterisation of model uncertainty is identified as one of the critical elements in a geotechnical reliability-based design process in Annex D of ISO 2394:2015 “General Principles on Reliability of Structures”. This Spotlight paper reviews the databases for various geo-structures and determines their associated model statistics. Foundation load test databases are the most prevalent. A recent effort to compile a large generic database (PILE/2739) that contains 2739 field load tests conducted on various piles and installed in different soils and countries, is highlighted. This systematic compilation of load test data is part of a broader research agenda to digitalise foundation design for “precision construction”, which is targeted at characterising “site-specific” model factors and soil parameters based on both site-specific and generic data for further customisation of design to a particular site. The mean and COV of the model factor for a range of geo-structures, geomaterials, and limit states (both ultimate and serviceability) are summarized in a form suitable for adoption in design and codes of practice. Based on this summary, it is proposed that a model factor for a design model can be classified as: (1) moderately conservative (1?≤?mean?2), (2) highly conservative (2?≤?mean?3), or (3) very highly conservative (mean?≥?3). The model uncertainty can be as: (1) low dispersion (COV?0.3), (2) medium dispersion (0.3?≤?COV?0.6), (3) high dispersion (0.6?≤?COV?0.9), and (4) very high dispersion (COV?≥?0.9). This summary represents the most extensive and significant update of Table 3.7.5.1 in the 2006 JCSS Probabilistic Model Code. 相似文献
1000.
Toshiaki Nanazawa Tetsuya Kouno Gaku Sakashita Takashi Nakaura 《Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards》2019,13(3):176-184
ABSTRACTThis paper describes the development of a partial factor design method on the bending strength of piles for the Japanese Specifications for Highway Bridges. First, uncertainties in mobilised bending moments and yield bending moments were evaluated by Monte Carlo simulations. Second, the reliability of piles designed by the previous specifications were evaluated on the basis of reliability analysis considering uncertainties in the mobilised bending moments, yield bending moments, and other factors. Finally, a partial factor design method utilising a survey subsurface investigation method and ground type was developed to reach target reliability levels determined by the Standards. 相似文献