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An Evidence-Based Approach to Well Integrity Risk Management

机译:基于证据的良好诚信风险管理方法

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The Paris Basin(France)is a particularly challenging setting for oil production:besides lying under a metropolis of 12 million people,it is also exploited for low-temperature geothermal energy and is crossed by a deep,high-quality drinking water aquifer of strategic importance,the Albian-Neocomian.Vermilion, the biggest producer in the area,undertook in 2012 a basin-wide well integrity risk management project with the goal of understanding and minimizing the risk of fresh water aquifer pollution. The Paris Basin operations comprise 20 fields for a total of 289 active wells,more than half of which have been drilled in the 1980’s.The objectives of the leakage risk assessment are twofold:first identify high-risk scenarios and“must act”wells that require immediate intervention;second,adopt lean(i.e. eliminating waste)prevention and mitigation measures that satisfy the local regulator. The risk assessment methodology is based on scenarios,i.e.ways in which the hazards,brines or hydrocarbons,can cause damage to targets,the fresh water aquifers.Each scenario involves the failure of a number of barriers whose function is to prevent or mitigate damage.In this approach evidence from in-depth failure analysis is used to build and calibrate scenarios,as well as to validate degradation mechanisms and understand their dynamics.Evidence considered is not limited to drilling report and wireline logs,but comprises all observations,measurements and weak signals that can be used to test assumptions on the presence,absence or aging of well integrity.Evidence-based scenarios are comple-mented by known failure mechanisms thus reducing the risk of“black swans”,very improbable but catastrophic events,even though their probability is constrained by observed behavior during the 4,000 well-years of operations in the basin. The criticality(product of probability and severity)of each applicable scenario is then computed using an exhaustive database of the characteristics of each well,resulting in a complete risk profile for the basin. The risk assessment process revealed that casing corrosion caused by brine injection is the biggest driver of well integrity risk;it also allowed tailoring effective prevention and mitigation actions:for instance,the criticality of scenarios is reduced to an acceptable level if the time between tubing failure and injection stop is kept to three months or less.Furthermore,the analysis helps define the role of periodic logging and thus reduce possible waste,i.e.actions that do not contribute to understanding,preventing or mitigating risk. The evidence-based approach,since applied to another French basin,has proved effective for managing risk at the basin level,by cutting a middle way between universal checklists and the excessively narrow focus of well-by-well analysis:the former are too large and hazy and may hide real dangers among hardly applicable generalities,whereas the latter tends to be expensive,unsystematic and miss recurring patterns. Heavy-duty analytics and modeling are used most efficiently on focused and specific failure analyses to understand the dominant phenomena,which can then be used to paint a quantitative and consistent picture at the level of a field or basin.
机译:巴黎盆地(法国)是用于石油生产特别具有挑战性的环境:除了说谎的1200万人口的大都市下,它也利用低温地热能,并通过战略深,高品质的饮用水含水层跨越Albian-Neocomian.vermilion是该地区最大的生产国,在2012年进行了一个盆地纯粹的诚信风险管理项目,其目标是理解和最小化淡水污染污染的风险。巴黎盆地的操作包括20场共计289口井,其中一半以上已在泄漏风险评估的1980's.The目标已钻有二:一是确定高风险场景和“必须采取行动”口井需要立即干预;第二,采用贫民(即消除废物)预防和减缓措施,满足当地监管机构。风险评估方法基于场景,ieways其中的危害,盐水或烃类,可能会导致目标造成伤害,淡水aquifers.Each方案涉及了许多,其功能是防止或减轻损害障碍的失败。在这种方法中,来自深入失败分析的证据用于构建和校准场景,以及验证劣化机制,并理解他们的动力学。所考虑的优雅不限于钻探报告和有线日志,而是包括所有观察,测量和弱可用于测试假设的存在,不存在或有据可依integrity.Evidence情节老化信号由已知的失效机制从而减少“黑天鹅”的风险,很不可思议,但灾难性事件COMPLE-mented,即使他们在盆地中4,000井业务期间观察到的行为受到概率。然后使用每个孔的特征的详尽数据库计算每个适用场景的临界性(概率和严重程度),导致盆地的完全风险概况。风险评估过程揭示了盐水注入引起的套管腐蚀是良好的诚信风险的最大驱动因素;它还允许定制有效的预防和缓解动作:例如,如果管道故障之间的时间是可接受的水平,情况会降低到可接受的水平并注入停机保持到三个月或less.Furthermore,分析有助于确定定期记录的作用,从而减少可能的浪费,ieactions无助于理解,预防或减轻风险。以来,以来的循证方法已被申请于另一个法国盆地,证明了通过削减通用清单之间的中间方式,并在普遍的清单之间的中间方式和良好的井分析的过度缩小:前者太大了而朦胧,可能隐藏在几乎不适用的一般性之间的真正危险,而后者往往是昂贵的,不系统的和错过重复模式。重型分析和建模,使用最有效的针对性和具体的故障分析,以了解显性现象,则可以使用在野外或盆地的水平画一个定量的和一致的画面。

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