GIS与数模支持下的油气田环境风险预警系统研究

简要介绍了油气田在建设与生产过程中对环境的影响,构建并开发了基于GIS与数模的油气田环境风险预警系统。系统包含大气污染模拟模型、地表水污染模拟模型和地下水污染模拟模型,实现了环境监测数据的管理、实时监测预警和污染模拟、快速应急响应三大功能。介绍了油气田环境风险预警系统的设计及基本功能,探索了将地理信息系统与数学模型相结合运用于油气田环境风险预警的方法。实践表明,以GIS技术为平台,结合数学模型为辅助进行环境风险预警是可行的。     

油污染土壤气体抽排去污模型及影响因素

为了开展适合我国实际情况的有机污染土壤气体抽排净化技术研究,在对油污染土壤的通风去污过程机理进行分析的基础上,建立了一个简化机理模拟模型.以华北地区典型土壤为实验土样,油污染物为例,通过一维土柱实验,研究了抽排气体流速、土壤含水率和土质对去污过程的影响.实验表明抽排气体流速存在最佳值,土壤含水率对不同土质土壤净化时间影响不同,对粉砂土,含水率升高,净化效率增强;而对粘质土壤,结果正好相反.对模型预测结果进行实验验证表明,本文建立的模拟模型在实验限定条件范围内是准确和适用的.     

Oil dependency,political institutions,and urban–rural disparities in access to electricity in Africa

In line with the resource curse literature, this paper examines the effect of oil dependency on the disparities in access to electricity between urban and rural areas in Africa, conditional on the quality of political institutions. Based on data from 36 African countries over the period 2000–2017, our investigation suggests that oil rents (% of GDP) increase urban–rural disparities in access to electricity. However, the quality of institutions shapes the effect of oil dependency on these disparities. Specifically, a 10% increase in the institutional quality score reduces the adverse effects of oil rent on electricity access disparity by around 19%, and the negative impact of oil dependency on urban–rural disparities is reversed when institutional quality reaches a score of 52% on a scale from 0 to 100. The robustness tests support these results and call for strengthening the quality of institutions to overcome the resource curse in Africa.     

Evaluation of the spontaneous combustion characteristics of coal of different metamorphic degrees based on a temperature-programmed oil bath experimental system

Research on the micro- and macrocharacteristics of different metamorphic degrees of coal helps improve the control and protection techniques used during spontaneous combustion. Nine coals with different properties were thoroughly investigated in this study. Fourier transform infrared spectroscopy and a self-designed temperature-programmed oil bath experimental system were adopted to analyze the molecular structure and macrocharacteristic parameters of the spontaneous combustion of coal. Additionally, the influence of particle size on spontaneous combustion was considered. Various functional groups were employed as microcharacteristic parameters to capture the principal active groups in oxidation. The gas production rate, oxygen consumption rate, gas concentration, heat energy release rate, and characteristic temperatures were evaluated as macrocharacteristic parameters to investigate the changes in coal during oxidation. The results establish that the microcharacteristics of coal molecules determine the degree of spontaneous combustion based on intrinsic properties and that changes in the macrocharacteristics of the spontaneous combustion of coal reflect the microstructural changes. The contents of the hydroxyl groups, carbonyl groups, alkyl ether and aryl ether in the coal molecules gradually decrease with the metamorphic increase. Oxygen-containing functional groups have higher reactivities and easily react with oxygen, causing the macroparameters, such as the oxygen consumption rate, the gas generation rate and the heat energy release rate, to consistently decrease with the increase of the metamorphic degree. Small-particle-size coal molecules have more active aliphatic hydrocarbons, oxygen-containing functional groups and a larger specific surface area, increasing the chances of adsorbing the oxygen of active groups and promoting the reaction between coal and oxygen. The experimental results indicate that coal samples with higher metamorphic degrees or larger sizes exhibit lower tendencies toward spontaneous combustion. Evaluation of the spontaneous combustion of coal based on a temperature-programmed oil bath experimental system is of great practical importance for preventing the spontaneous combustion of coal during storage, processing and utilization and can serve as a convenient reference for production safety in mining applications.     

Emerging conservation challenges and prospects in an era of offshore hydrocarbon exploration and exploitation

Globally, extensive marine areas important for biodiversity conservation and ecosystem functioning are undergoing exploration and extraction of oil and natural gas resources. Such operations are expanding to previously inaccessible deep waters and other frontier regions, while conservation‐related legislation and planning is often lacking. Conservation challenges arising from offshore hydrocarbon development are wide‐ranging. These challenges include threats to ecosystems and marine species from oil spills, negative impacts on native biodiversity from invasive species colonizing drilling infrastructure, and increased political conflicts that can delay conservation actions. With mounting offshore operations, conservationists need to urgently consider some possible opportunities that could be leveraged for conservation. Leveraging options, as part of multi‐billion dollar marine hydrocarbon operations, include the use of facilities and costly equipment of the deep and ultra‐deep hydrocarbon industry for deep‐sea conservation research and monitoring and establishing new conservation research, practice, and monitoring funds and environmental offsetting schemes. The conservation community, including conservation scientists, should become more involved in the earliest planning and exploration phases and remain involved throughout the operations so as to influence decision making and promote continuous monitoring of biodiversity and ecosystems. A prompt response by conservation professionals to offshore oil and gas developments can mitigate impacts of future decisions and actions of the industry and governments. New environmental decision support tools can be used to explicitly incorporate the impacts of hydrocarbon operations on biodiversity into marine spatial and conservation plans and thus allow for optimum trade‐offs among multiple objectives, costs, and risks.     

油气长输管道作业分级定量风险评价方法研究及应用

为客观掌握油气管道生产运营岗位主要作业风险,实现油气长输管道企业作业风险管理,提出一种作业分级定量风险评价方法。首先,辨识油气管道系统主要危险作业类型和引起作业事故的危险有害因素;然后由作业分级法确定事故发生的可能性与严重性;最后建立基于作业分级的风险矩阵,得到各作业活动的风险级别。将该方法应用于某管道公司,以该公司生产区内部高处作业为例,对作业过程中的危险有害因素进行识别与评价,得出高处作业过程中各步骤的风险程度。结果表明该评价方法具有一定的可操作性,可反映各类危险作业过程中的风险程度,为后期有针对性的风险控制提供指导,有助于公司的风险管理。     

成品油站场工艺管道风险辨识与评价

为保障成品油站场工艺管道的安全平稳运行,在充分辨识风险因素的前提下,提出了一种基于KENT法和RBI的风险评价方法。首先,以风险机理分析为基础,采用SHEL模型从导致风险上升的直接原因（风险内因）和间接原因（风险外因）2个角度辨识了风险因素,并细化各因素指标项;然后借鉴KENT法,对各指标项进行评分量化;依据RBI法,采用风险外因体系修正风险内因体系的方式确定失效可能性;综合环境后果、人员后果与商业后果,明确失效后果的评价体系与计算方法;最后,结合失效可能性与失效后果进行风险评价,从风险等级和风险排序2方面为检维修决策提供依据。应用表明:该评价方法便于工艺管道风险评价的基层实施,可为基于风险的检维修决策提供有效技术支撑。     

大落差原油管道投产油顶水过程研究

为了探究隔离球在大落差原油管段投产过程中的影响作用,以某大落差“U”型起伏原油管线为实际案例（其最大高差达1 490 m）,基于OLGA多相流瞬态模拟方法,对大落差原油管段油顶水过程进行仿真研究。分析隔离球对原油顶水过程中的混油影响,同时对不同输量、管内积液量条件下隔离球在大落差管段中的运动特性进行研究,得到了清管器的平均运行速度、管中压力、持液率的变化趋势以及清管过程中的段塞行为等。结果表明:当输量为900~2 500 m3/h时,隔离球的加入能够降低混油量84.2%~93.7%;同时,还能减少投产过程中由于油品轻质组分汽化所产生的气体,并将更多管内气体带走,减少管中段塞流,提高原油投产效率,为工程实际投产过程提供有效依据。     

陆上原油长输管道泄漏爆炸事故情景构建研究

以某陆上原油长输管道为例,设定了陆上原油长输管道泄漏爆炸事故情景背景信息及演化过程,从预防、准备、预警、响应、恢复等阶段,梳理分析了事故情景应对全过程的任务及职责主体;针对各项任务从计划预案、人员队伍、装备物资、培训演练、运行机制等方面开展了情景应对能力评估;并针对存在的差距和不足,从企业和政府2个层面提出了针对此类情景的应急能力提升对策建议。该研究可为相关政府及企业加强油气长输管道事故应急准备能力建设提供参考。     

水势与用氮量对土壤中石油降解的影响

研究了石油降解过程中，土壤有效氮的动态变化，不同用氮水平在两种土壤上对石油降解速率的影响，以及石油降解的土壤水势条件。结果表明，石油对土壤的污染没有影响土壤水势；在土壤水势为－１００～－２０ｋＰａ范围内，水势的降低没有影响石油分解，而当土壤水势为－１０００ｋＰａ时，石油降解速率与对照相比下降了１０％～３５％。在壤土上，肥料氮添加在碳（石油中碳）氮（肥料中氮）比为９０时，石油降解最快；过多施用肥料氮会降低石油的分解速率。