基于PERT图的LMRP集油罩深水井喷应急作业设计

底部隔水管总成(LMRP)集油罩可高效回收深水井喷海底漏油,为有效支持应急演练和事故现场救援的开展,基于计划评审技术(PERT)进行LMRP集油罩应急作业设计。面向1500m水深事故场景,将LMRP集油罩作业分为15项子作业并编制应急作业PERT图,计算LMRP集油罩应急作业在不同规定期限内的完成概率。结果表明:PERT图可直观定量描述深水井喷应急作业,得到LMRP集油罩作业关键路线总时长为575h并给出作业优化建议。LMRP集油罩作业在规定期限45、50、55、60、65、70h内完成的概率分别为00002、00174、02420、07580、09826和09998。随着规定期限时间延长,应急作业完成概率提高,且在关键路线总时长附近增长率最大。     

新疆油田钻井井喷风险分级及井控管理

为了减少新疆油田钻井溢流井喷事件,杜绝井喷失控事故,在统计新疆油田影响钻井井喷风险的地质环境因素的基础上,利用模糊数学理论建立了油田基于地质环境因素的钻井井喷风险分级模型,对各个区块的钻井井喷风险程度进行了分级,结果表明南缘山前构造勘探开发区块及克拉美丽气田的钻井井控风险值最高。建议对新疆油田钻井井控进行分级管理,针对不同的钻井井喷风险等级,制定了针对性的井控对策,建议在井控设计时考虑钻井井喷风险分级设计。     

基于马尔可夫方法的水下防喷器可靠性研究

水下防喷器是保障海上钻井安全的关键设备,对其可靠性进行定量评价对井控作业有重要的指导意义.为了弥补现有水下防喷器可靠性评价方法的不足,将水下防喷器的工作状态分为四种,包括无故障可用、关井、井控关键失效及关井时失效.利用Markov方法建立了水下防喷器的Markov模型.通过水下防喷器系统的状态转换图找出了各工作状态的转换关系.通过分析墨西哥湾83口深水井水下防喷器的失效数据,定义了影响水下防喷器可靠性的井控关键失效,并对深水钻井水下防喷器防喷功能的可靠性进行了定量计算.将计算结果与不考虑关井期间的井控关键失效相比较发现,防喷器的防喷失效概率增加了65％.因此传统的定量评价方法可能会得出相对乐观的结论,应在实际生产中给予重视.     

钻井井喷失控因素分析及预防对策

井喷失控是钻井中的灾难性事故,有必要开展井喷失控研究,找到井喷失控发生的原因和提出防止井喷失控的对策。在统计分析1970年到2009年间中石油发生在钻进过程中的48例井喷失控事故的基础上,通过对防喷器、节流压井管汇、套管、井喷后爆炸起火等井喷失控因素分析,并利用MLS法对上述各种井喷失控因素危险值进行评估。最后,根据井喷失控因素分析和危险值评估结果,结合现有的钻井井控设计,提出了防止钻井井喷失控的对策。     

Risk analysis of deepwater drilling operations using Bayesian network

Deepwater drilling is one of the high-risk operations in the oil and gas sector due to large uncertainties and extreme operating conditions. In the last few decades Managed Pressure Drilling Operations (MPD) and Underbalanced Drilling (UBD) have become increasingly used as alternatives to conventional drilling operations such as Overbalanced Drilling (OVD) technology. These newer techniques provide several advantages however the blowout risk during these operations is still not fully understood. Blowout is regarded as one of the most catastrophic events in offshore drilling operations; therefore implementation and maintenance of safety measures is essential to maintain risk below the acceptance criteria. This study is aimed at applying the Bayesian Network (BN) to conduct a dynamic safety analysis of deepwater MPD and UBD operations. It investigates different risk factors associated with MPD and UBD technologies, which could lead to a blowout accident. Blowout accident scenarios are investigated and the BNs are developed for MPD and UBD technologies in order to predict the probability of blowout occurrence. The main objective of this paper is to understand MPD and UBD technologies, to identify hazardous events during MPD and UBD operations, to perform failure analysis (modelling) of blowout events and to evaluate plus compare risk. Importance factor analysis in drilling operations is performed to assess contribution of each root cause to the potential accident; the results show that UBD has a higher occurrence probability of kick and blowout compared to MPD technology. The Rotating Control Devices (RCD) failure in MPD technology and increase in flow-through annulus in UBD technology are the most critical situations for kick and blowout.     

基于FLACS的海上钻探平台井喷爆炸事故后果模拟分析*

为研究海上钻探平台井喷燃爆事故后果,运用FLACS软件对某深海钻探平台井喷爆炸事故进行模拟,研究在不同事故场景下气云爆炸发展过程及平台荷载分布规律,讨论井喷速率、风向、点火位置等对爆炸超压的影响。研究结果表明:随泄漏速率增加,爆炸强度和爆炸范围均增大,爆炸严重程度不仅与井喷速率密切相关,同时也受平台结构影响;点火位置会对爆炸超压产生影响,在可燃气体与空气混合气体比例为化学理论当量比处点燃气体,生活区承受的爆炸超压最大;在设施及建构筑物分布较为密集、拥塞度较高的地方产生的爆炸超压更大。研究结果可为可为平台的阻隔防爆性能设计与应急响应提供指导。     

A safety barrier-based accident model for offshore drilling blowouts

Blowout is one of the most serious accidents in the offshore oil and gas industry. Accident records show that most of the offshore blowouts have occurred in the drilling phase. Efficient measures to prevent, mitigate, and control offshore drilling blowouts are important for the entire offshore oil and gas industry. This article proposes a new barrier-based accident model for drilling blowouts. The model is based on the three-level well control theory, and primary and secondary well control barriers and an extra well monitoring barrier are established between the reservoir and the blowout event. The three barriers are illustrated in a graphical model that is similar to the well-known Swiss cheese model. Five additional barriers are established to mitigate and control the blowout accident, and event tree analysis is used to analyze the possible consequence chains. Based on statistical data and literature reviews, failures of each barrier are presented. These failures can be used as guidance for offshore drilling operators to become aware of the vulnerabilities of the safety barrier system, and to assess the risk related to these barriers. The Macondo accident is used as a case study to show how the new model can be used to understand the development of the events leading to the accident. The model can also be used as an aid to prevent future blowouts or to stop the escalation of events.     

基于模糊数学钻井井喷概率计算模型研究

针对目前钻井井喷风险主要是单因素定量分析或者多因素的事故树定性分析,不够全面,定量性差等问题,基于层次分析法和模糊综合评价法,建立了钻井井喷的多因素定性定量分析方法.通过层次分析法对影响钻井井喷的地质、井型井别、钻井参数和人员资质等因素进行分析,根据各因素在钻井井喷中作用大小,采用“1-9”标度法确定各因素的权重.基于模糊数学理论,采用不同的隶属度函数确定方法,建立了适合不同因素的隶属度函数,在此基础上形成了钻井井喷概率计算方法.通过实例计算表明,此模型可以预测钻井井喷的概率,符合现场实际情况,对钻井过程中预防井喷具有一定的指导借鉴作用.     

电机驱动式井下环空防喷器的研制及密封性能分析

针对钻井工艺的复杂性及井型、井段的适应性,研制了一种电机驱动式井下环空防喷器,对其结构、控制方式、工作原理进行了介绍;采用有限元的方法对胶筒座封过程中胶筒与套管不同间距的情况进行仿真分析,得到了胶筒的应力变化规律及“快速密封”的座封方式;利用防喷器实验台架模拟井下溢流的方法测得此防喷器的最大封隔压差以及密封过程中的形态变化,测得硬度为90的胶筒在最大压缩量的时候可以封隔25 MPa压差。此电机驱动式井下环空防喷器结构简单,动作迅速,无需频繁起出钻柱进行防喷器更换,能够重复使用,降低总成本,具有较强的实用性。     

基于DEMATEL/ISM的深水井喷风险影响因素研究*

为提高深水井喷事故风险管理水平,提出研究深水井喷风险影响因素的分析方法。从技术、人员、环境和管理4个方面,识别深水井喷事故风险致因因素,建立深水井喷事故风险评价指标体系;运用矩阵决策实验室分析法（DEMATEL）,研究风险因素之间的相互影响关系,计算不同风险因素的中心度和原因度,确定关键风险因素;进一步基于解释结构模型（ISM）划分不同影响因素的层次结构,分析风险因素之间的综合影响关系,建立深水井喷事故风险影响因素模型。结果表明:层级1为近邻致因,可直接导致井喷事故的发生;层级2~7为过渡致因,在风险传递过程中起到桥梁作用,对井喷事故的直接影响较小;而层级8则为本质致因,重视本质致因的改善有利于从根源上降低井喷事故的风险。研究结果可为深水井喷事故风险的预防和控制提供理论依据。     

Developing safety indicators for preventing offshore oil and gas deepwater drilling blowouts

An important question with respect to the Macondo blowout is whether the accident is a symptom of systemic safety problems in the deepwater drilling industry. An answer to such a question is hard to obtain unless the risk level of the oil and gas (O&G) industry is monitored and evaluated over time. This article presents information and indicators from the Risk Level Project (RNNP) in the Norwegian O&G industry related to safety climate, barriers and undesired incidents, and discusses the relevance for deepwater drilling. The main focus of the major hazard indicators in RNNP is on production installations, whereas only a limited number of incident indicators and barrier indicators are related to mobile drilling units. The number of kicks is an important indicator for the whole drilling industry, because it is an incident with the potential to cause a blowout. Currently, the development and monitoring of safety indicators in the O&G industry seems to be limited to a short list of “accepted” indicators, but there is a need for more extensive monitoring and understanding. This article suggests areas of extensions of the indicators in RNNP for drilling based on experience from the Macondo blowout. The areas are related to schedule and cost, well planning, operational aspects, well incidents, operators’ well response, operational aspects and status of safety critical equipment. Indicators are suggested for some of the areas. For other areas, more research is needed to identify the indicators and their relevance and validity.     

基于系统动力学的井喷事故仿真研究

为动态预测井喷事故发展过程,在分析导致井喷事故主要因素的基础上,结合系统动力学的相关原理,构建井喷事故系统仿真流图,并运用系统动力学仿真软件Vensim对井喷事故的整体流程进行仿真,实现了对油气井安全水平的动态监测和预警。结果表明:井喷事故的发生是由人为因素、管理因素、环境因素、设备因素和法律法规因素四大子系统的交叉耦合作用而导致整个油气井系统的安全水平低于井喷事故的安全临界点所造成的。     

CFD simulation study on gas dispersion for risk assessment: A case study of sour gas well blowout

Compared with general blowout, the process of sour gas well blowout is more complex. The exchange of gas state is affected by many factors, and the consequences of the accident are serious. It is difficult to find out the rule of gas dispersion and predict the distribution of toxic gas. Fluent code was used to model the sour gas dispersion in the atmosphere after well blowout. The “12.23” sour gas well blowout, which was happened in Kai County, Chongqing, Sichuan, China, was the research background. The blowout accident model was set up to simulate the real process. Models were built based on real topography. Wind speed and atmospheric stability of the day which the accident happened were set as the operation conditions, and the composition, injection rate, and temperature of the gas at the actual time were set as the boundary conditions of numerical simulation. The analysis of gas dispersion based on simulation results conducted from two aspects, height and dispersion time. A comparison of field data with simulation data demonstrated that CFD technology can be an effective aid to describe the process of sour gas dispersion and can also predict the tendency of gas dispersion and gas distribution. Furthermore, it can provide guidance on design emergency response zone (ERZ).     

天然气钻井井口安全距离研究分析

分析天然气钻井井场可能发生的事故类型及事故的破坏程度,选择适合的事故后果模型,对天然气井井喷失控后可能发生的蒸气云爆炸及硫化氢扩散的后果进行量化分析,根据超压-冲量准则、热剂量准则和硫化氢扩散行为规律,计算出爆炸波、爆炸火球及硫化氢扩散的危害范围。笔者建立了天然气钻井井口安全距离的计算模型,并提出一种确定安全距离的方法。通过计算给出不同无阻流量、不同硫化氢体积含量的20种条件下的天然气钻井井口安全距离,并应用该模型对某含硫气井井口安全距离进行了计算。实例表明,该方法具备实用性,值得在天然气井选址规划中推广和使用。     

石油井下作业井喷风险预警分级模型研究

结合石油井下历史事故资料和井下高危作业风险辨识资料,依据SMART原则,从企业应用角度,建立井喷风险预警分级评价指标体系,评价指标包括固有风险频率、事故严重度、监控与监测措施3方面;对各指标给出相应的权重和分值,并在风险原理的基础上设计风险评价分级数学模型,建立石油井下作业井喷风险预警分级标准。根据分级模型得到的风险分级结果可以对石油井下作业井喷风险进行有针对性的防范和控制,避免井喷事故的发生。     

深水钻井热交换作用下的井壁稳定性分析

为了研究深水钻井过程中热交换作用对井壁稳定性的影响规律,建立了钻井液、钻柱、海水和地层各介质热交换作用下温度控制方程,根据热弹性理论计算温度变化对井周应力的影响,结合地层强度准则与拉伸破坏准则确定深水井壁坍塌压力与破裂压力。结果表明,钻井液循环对地层产生的冷却作用能够降低井壁坍塌压力与破裂压力,但破裂压力降低幅度比坍塌压力的降低幅度稍大。因此,尽管钻井液的冷却效果能够抑制井壁坍塌,但应注意低温度的井壁更易形成诱导缝,甚至引发地层漏失。计算结果对深水钻井作业具有指导意义。     

我国的劳动安全监察制度与压力容器事故预防

分析了压力容器事故的主要原因 ,介绍了劳动安全监察制度 ,研究了该制度对减少压力容器事故所起的作用 ,为预防压力容器事故 ,对劳动安全监察制度的发展 ,提出了自己的见解与看法。     

基于AMESim的带压作业防喷器关闭性能仿真

针对带压作业防喷器关闭时易发生井涌、管柱失稳和闸板胶芯磨损等问题,基于AMESim软件分析了防喷器闸板关闭过程中的位移和速度特性,揭示了防喷器操作压力和井筒压力2个因素对于闸板动作响应的影响规律;利用Abaqus软件分析了防喷器关闭时闸板胶芯与管柱的接触应力及其分布;结合防喷器闸板关闭过程中的位移、速度特性,得到了不同井筒压力时防喷器闸板操作压力的推荐值。研究结果表明:根据不同的井筒压力精确控制防喷器闸板的操作压力,既能迅速关闭闸板有效密封井筒,又能防止防喷器闸板关闭后胶芯与管柱间的接触力过大,从而减小胶芯的磨损和起下管柱阻力。以此方法确定的防喷器闸板操作压力推荐值,可为PLC引入带压作业装置控制系统,实现防喷器操作的精确控制提供依据。     

“Everything was fine”*: An analysis of the drill crew's situation awareness on Deepwater Horizon

PurposeInvestigation reports into the Deepwater Horizon drilling rig disaster identified issues with the drill crew's situation awareness (SA). The aim was to (1) apply the Driller's Situation Awareness (DSA) model to the cognitive data extracted from accident reports from this event to determine if it could help to explain why the crew erroneously concluded that the well was stable, which would (2) provide a preliminary evaluation of the model's validity.MethodThe DSA model was used for a content analysis of the SA components in the accounts of the crew's actions during two Negative Pressure Tests (NPT), in the hours before the blowout.ResultsThe analysis provided (1) insight into the crew's likely cognitive processes before the blowout. In particular, it revealed issues with their interpretation and mental models of the well state, as well as possible influencing factors including expectation, distraction and experience, emphasising the impact that SA can have on process safety. The categorisation has (2) initially suggested that the DSA model does contain the appropriate components.LimitationsThere are limited first hand reports of this event and thus cognitive processes have to be inferred with a degree of caution.Practical implicationsThe findings give a preliminary validation of the DSA model for further use in training and in investigation of well control events. Recommendations based on the findings are offered for assisting driller SA and consequently, for supporting safe and efficient drilling operations. There is also the opportunity to adapt the DSA model and apply the recommendations from the analysis to similar monitoring positions, where SA is essential, within the process industries.     

Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures

A subsea blowout preventer (BOP) stack is used to seal, control and monitor oil and gas wells. It can be regarded as a series–parallel system consisting of several subsystems. This paper develops the dynamic Bayesian network (DBN) of a parallel system with n components, taking account of common cause failures and imperfect coverage. Multiple error shock model is used to model common cause failures. Based on the proposed generic model, DBNs of the two commonly used stack types, namely the conventional BOP and modern BOP are developed. In order to evaluate the effects of the failure rates and coverage factor on the reliability and availability of the stacks, sensitivity analysis is performed.