采油井采油树腐蚀根源的整体研究

Amit Kumar, Ahmed Al Dahmani, Shaheen Kunhi, Asif Iqbal, M. Amad, T. Morrow
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引用次数: 0

摘要

在对阿布扎比某大型海上油田的圣诞(X-mas)采油树进行现场检查时,据报道,在X-mas采油树的出口,有一小部分井被严重腐蚀,由于可能失去密封装置,这给HSE带来了很高的风险。通过对X-mas采油树进行整体分析,确定腐蚀的根本原因,并提出补救措施计划,以控制未来的腐蚀损害,降低HSE风险。利用先进的建模工具和实验室测试分别分析了流动特性和现场样品。采用先进的建模技术,分析了无机结垢潜力,确定了流动状态,并计算了X-mas采油树的腐蚀速率,以与作业条件相关联。利用先进的显微镜技术分析了X-mas树的固体样品,以确定元素组成和相。水样也被分析以检查细菌含量。历史操作条件、建模和实验室分析结果的可用数据被分为有利因素和不利因素,以确定每种机制的潜在腐蚀根源。建模结果与实际现场数据(如腐蚀特征形态、历史操作条件等)结合使用,以评估腐蚀损害。根据腐蚀特征形态,将井分为不同的组,将流动行为和操作条件与观察到的腐蚀模式进行比较。通过对腐蚀特征、形态和操作条件的深入分析,发现流动诱发局部腐蚀(FILC)是严重腐蚀X-mas采油树腐蚀的根本原因。X-mas采油树的设计、流体性质和井口压力(WHP)、井口温度(WHT)和流量等操作参数是加速腐蚀的关键因素。计算流体力学(CFD)模拟结果表明,由于流动方向和重力作用的变化,X-mas采油树水平段比垂直段暴露出更高的湍流、水润湿和瞬态气泡形成/坍塌现象。为了控制X-mas采油树法兰区域的腐蚀,降低X-mas采油树法兰泄漏的可能性,采用了几种缓解策略。这项工作的发现导致了基于Excel的工具的开发,该工具可用于根据操作条件评估和预测X-tree的腐蚀风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Holistic Study to Identify Root-Cause of Corrosion in Christmas Trees of Oil Producer Wells
During field inspection of Christmas (X-mas) trees in a giant oil offshore field in Abu Dhabi, a small subset of wells were reported to be severely corroded on X-mas tree studded outlets imposing high HSE risks due to possible loss of containment. A holistic analysis was conducted to identify corroded X-mas trees, establish the root-cause of corrosion and recommend a remedial action plan to control future corrosion damage and reduce HSE risk exposure. Advanced modeling tools and lab tests were used to analyze the flow behavior and field samples, respectively. Advanced modeling was performed to analyze inorganic scale potential, identify flow regimes and calculate corrosion rates in the X-mas trees to correlate with operating conditions. Solid samples from X-mas trees were analyzed using advanced microscopy techniques to identify the elemental composition and phases. Water samples were also analyzed to check bacteria content. Available data on historical operating conditions, modeling and lab analysis results were segregated into in-favor and against factors for each of the mechanisms to identify the potential root-cause of corrosion. Modeling results were used in conjunction with actual field data such as corrosion feature morphology, historical operating conditions, etc. to evaluate corrosion damage. Based on corrosion feature morphology, wells were categorized into different groups to compare the flow behavior and operating conditions with observed corrosion patterns. A thorough analysis of corrosion feature morphology and operating conditions identified flow-induced localized corrosion (FILC) as the root-cause of corrosion in severely corroded X-mas trees. X-mas tree design, fluid properties and operating parameters such as well head pressure (WHP), wellhead temperature (WHT) and flow rate were found to be key contributing factors of accelerated corrosion. Results of computational fluid dynamics (CFD) modeling showed that the horizontal section of X-mas tree is exposed to higher turbulence, water wetting and transient gas bubble formation/collapse phenomena than the vertical section due to changes in flow direction and gravity effects. Several mitigation strategies were implemented to control corrosion in the X-mas tree flange area, and reduce likelihood of leakage through the X-mas tree flange. Findings from this work led to development of an Excel based tool which can be used to assess and predict the corrosion risks to X-tree based on operating conditions.
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