庆深气田深层钻完井配套技术

自庆深气田徐深1井取得深层天然气勘探重大突破以来,大庆油田步入了油气勘探开发并举阶段。2004—2010年完成123口井,平均井深4118 m、钻井周期141 d,钻井技术水平较低。虽然开展提速技术攻关取得一定效果,但仍然不能满足天然气快速增储上产的需求,还存在着固井后井口带压问题,急需深入开展钻完井技术攻关。自2011年起,借鉴国内外深层提速技术成果,分开次、分层段针对岩性特点制定提速对策,通过优化井身结构、优选高效PDC钻头、实验并自研液动旋冲和涡轮等新型提速工具,大幅度提高了深井钻井技术水平,2011—2013年完成19口井,平均井深4075 m、同比缩短钻井周期48.6 d;针对井口带压问题,综合分析其产生因素,开展系列技术研究,形成了防气窜固井配套技术,为深层天然气快速增储上产提供了支持和保障。     

中国特别重大自然灾害损失统计的最新进展——《特别重大自然灾害损失统计制度》解析

以《特别重大自然灾害损失统计制度》(简称《统计制度》)主要执笔人的视角,详细阐述了制度的主要内容、蕴含的科学问题和未来研究方向。《统计制度》报表和指标设计在与现有国家标准保持一致、历经汶川地震等多次重特大灾害实践检验完善、充分吸收相关行业部门意见和建议、适用于多灾种与灾害链损失统计、实用于灾后恢复重建规划编制等方面均体现出其权威性与最新性,《统计制度》具备科学性、综合性、实用性和动态性等特征。《统计制度》在推进特别重大自然灾害损失综合评估、启发涉灾行业部门开展专项深入研究、引领地方建立相关制度等方面具有极大潜力。     

西南山区交通工程弃渣的工程特性评价及其分类

山区交通工程弃渣力学参数的准确测定,一直是弃渣场边坡稳定性评价面临的基础科学问题。在山区交通工程弃渣场运行特点和弃渣固体废弃物特征认知的基础上,探讨弃渣取样和试验代表性问题的物理根源,依托实际工程累计数据尝试提出简单实用的弃渣工程特性评价和分类方法。结果表明:①常规交通工程弃渣的密度、颗粒分析和强度试验,由于弃渣的粒径范围差异大、颗粒空间分布不均、弃渣来源复杂等固体废弃物特征造成取样和试验代表性难题;用多阶段坡角测量和颗粒分析试验代替传统的弃渣边坡试验,解决了试验和取样代表性难题。②利用弃渣粗细比可将弃渣分为细粒弃渣、混合型弃渣和粗粒弃渣。③根据弃渣粗细比、天然休止角和整形坡率,将西南山区交通工程弃渣分为细粒弃渣、混合型弃渣和粗粒弃渣等3类。细粒弃渣,弃渣粗细比小于0.3,天然休止角小于31.5°,整形坡率为1.00∶2.00;混合型弃渣,弃渣粗细比为0.3~1.0,天然休止角为31.5°~39.5°,整形坡率为1.00∶2.00~1.00∶1.50;粗粒弃渣,弃渣粗细比大于1.0,天然休止角大于39.5°,整形坡率为1.00∶1.50。④用多阶段坡角测量、颗粒分析试验和无黏性土边坡稳定性系数计算公式代替传统的弃渣边坡试验和稳定性系数计算方法,方法简单,结果保守,可以作为弃渣边坡稳定性评价和安全控制技术的有益补充。     

河南省自然旅游资源区划研究

地表自然条件的地域差异构成了千变万化的景象和环境,使得自然旅游资源也呈现区域差异性。以综合分析、主导因素、相对一致性、完整性和梯度分级为原则,以地貌形态为主导因素,以自然旅游资源类型、数量和品质为指标,将河南省自然旅游资源划分为中部资源独特区、北部资源差异区、西部山地资源密集区、南部山水资源丰富区、东部平原资源贫乏区5个大区和12个亚区,并对各区自然旅游资源的特征、开发利用现状进行评述。     

树木地貌学在地质灾害研究中的应用

地质灾害对人类及环境造成的影响巨大,了解灾害发生的规律及影响机制对防灾减灾有重大意义。树木分布广泛,不会迁移,一般情况下每年形成一圈记录当年环境状况的年轮,利用树木年轮信息能够分析环境因子的时空变化。树木地貌学已普遍应用于地震、泥石流、滑坡等地质灾害研究,通常以重建灾害发生的时间、影响范围、运动过程等为基础,评价地质灾害对森林结构组成、地貌变化的影响,分析灾害在时间及空间上的变化过程,结合气象及水文数据,能够探讨诱发灾害的可能原因,进而推测在全球变化大背景下的发展趋势。为此,探讨了利用树木年轮重建地质灾害的理论基础,总结了主要研究成果并分析了当前研究的不足,指出以后的研究方向。     

气候变化情景下中国自然生态系统脆弱性研究——一个基于生态地理区域的研究(英文)

Assessment of vulnerability for natural ecosystem to climate change is a hot topic in climate change and ecology, and will support adapting and mitigating climate change. In this study, LPJ model modified according to features of China's natural ecosystems was employed to simulate ecosystem dynamics under A2, B2 and A1B scenarios. Vulnerability of natural ecosystem to climate change was assessed according to the vulnerability assessment model. Based on eco-geographical regions, vulnerability of natural ecosystem to climate change was analyzed. Results suggest that vulnerability for China's natural ecosystems would strengthen in the east and weaken in the west, but the pattern of ecosystem vulnerability would not be altered by climate change, which rises from southeast to northeast gradually. Increase in ecosystem vulnerable degree would mainly concentrate in temperate humid/sub-humid region and warm temperate humid/sub-humid region. Decrease in ecosystem vulnerable degree may emerge in northwestern arid region and Qinghai-Tibet Plateau region. In the near-term scale, natural ecosystem in China would be slightly affected by climate change. However, in mid-term and long-term scales, there would be severely adverse effect, particularly in the east with better water and thermal condition.     

松南气田登娄库—泉头组天然气成藏特征分析

松南气田位于松辽盆地南部长岭断陷中央隆起带达尔罕断凸带腰英台深层构造高部位.通过分析解剖烃源岩、输导等,认为松南气田登娄库—泉头组天然气藏具有双向供烃的特征;达尔罕断裂是控制气藏规模的主断裂,它的开启与封闭直接决定天然气藏的形成保存及破坏散失.在典型气藏解剖的基础上,综合油气成藏条件,总结了成藏规律：多期生烃,北、西次凹供烃、近距离运移,长期运移指向、聚集,深层储盖组合匹配.     

A Study of Resource Curse Effect of Chinese Provinces Based on Human Developing Index

Traditional opinion considers that natural resources play an important positive role in economic development, while resource curse theory holds that natural resources usually obstruct economic increase. This debate needs further exploration. In most of empirical studies on resource curse theory, the economic development of an area is mainly evaluated by the Gross Domestic Product （GDP）, however, the social and cultural contents of economic development are seldom considered. Thus, the Human Developing Index （HDI） was chosen to describe the comprehensive developing situation of an area in our study. Based on the panel data from the year of 2000 to 2011, the relationship between Human Developing Index and resource exploitation degree （RED） of 30 provinces in China （Tibet, Tai- wan, Hong Kong and Macao were not included because of the restriction of data acquisition） was investigated by correlation coefficient analysis and regression analysis. We found that resource curse did exist over the entire country and its effect on 30 provinces were not exactly the same. According to the effects of resource curse, these provinces could be classified into four types： no resource curse prov- inces, slight resource curse provinces, severe resource curse provinces, and extreme resource curse provinces. Testing from two short time periods 2000-2005, and 2006-2011, the resource curse effect was not prominent. However, testing from the entire period of 2000-2011, the effect was obvious among each province.     

Vulnerability of natural ecosystem in China under regional climate scenarios：An analysis based on eco-geographical regions

Assessment of vulnerability for natural ecosystem to climate change is a hot topic in climate change and ecology,and will support adapting and mitigating climate change. In this study,LPJ model modified according to features of China's natural ecosystems was employed to simulate ecosystem dynamics under A2,B2 and A1B scenarios. Vulnerability of natural ecosystem to climate change was assessed according to the vulnerability assessment model. Based on eco-geographical regions,vulnerability of natural ecosystem to climate change was analyzed. Results suggest that vulnerability for China's natural ecosystems would strengthen in the east and weaken in the west,but the pattern of ecosystem vulnerability would not be altered by climate change,which rises from southeast to northeast gradually. Increase in ecosystem vulnerable degree would mainly concentrate in temperate humid/sub-humid region and warm temperate humid/sub-humid region. Decrease in ecosystem vulnerable degree may emerge in northwestern arid region and Qinghai-Tibet Plateau region. In the near-term scale,natural ecosystem in China would be slightly affected by climate change. However,in mid-term and long-term scales,there would be severely adverse effect,particularly in the east with better water and thermal condition.     

Does the Social Capital in Networks of “Fish and Fire” Scientists and Managers Suggest Learning?

Patterns of social interaction influence how knowledge is generated, communicated, and applied. Theories of social capital and organizational learning suggest that interactions within disciplinary or functional groups foster communication of knowledge, whereas interactions across groups foster generation of new knowledge. We used social network analysis to examine patterns of social interaction reported in survey data from scientists and managers who work on fish and fire issues. We found that few fish and fire scientists and managers interact with one another, suggesting low bridging social capital and thus, limited opportunity for generation of new knowledge. We also found that although interaction occurs among scientists—suggesting modest bonding social capital—few managers interact with other managers, indicating limited opportunity for communication of scientific knowledge for the purposes of application. We discuss constraints and opportunities for organizational learning evident in these patterns of social interaction among fish and fire scientists and managers.