A Case Study on Identification & Mitigation of Surges in a Cluster of Composite Well Flow Line Network

M. Gupta, J. Sukanandan, V. Singh, R. Bansal, A. S. Pawar, B. Deuri
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Abstract

This paper discusses a case study of one of the onshore field of ONGC where while processing well fluid, frequent surge has been observed leading to shutdown of the SDVs creating severe operational problems and loss of production. It was imperative to find out the problematic wells/lines located in clusters which contribute for surge formation and mitigation approach with minimum modifications. A transient complex network of sixty five wells flowing with a different lift mode such as intermittent gas lift, continuous gas lift etc were developed in a dynamic multiphase flow simulator OLGA. Time cycle of each well were introduced for intermittent lift wells. Simulation study reveals pulsating transient trends of liquid flow, pressure which was matched with the real time data of the plant and hence confirms the accuracy of the model. After verifying the results, different scenarios were created to determine the causes of surge formation. After finding the cause, a low cost approach was considered for surge mitigations. An integrated rigorous simulation was carried out in OLGA, by feeding more than 12,000 data points to obtain model match. Several scenarios were also created such as optimization of lift gas quantity, optimization of elevation and size. Trend obtained after each scenario was pulsating behaviour and it matched with the real time data appearing in the SCADA system of the field. After rigorous simulation with each scenario, it was established that the cause of surge forming wells/pipelines. Once the root cause of surge has been confirmed then quantum of liquid generated due to surge was determined. Adequacy checks of the existing separators were carried out to estimate the handling capacity of the existing separators at prevalent operating condition. After adequacy check it was found that existing separators cannot handle the surge generated in that time interval leading to cross the high-high safety level, resulting closure of shut down valve (SDV). After establishment of root cause of the surge, a low cost solution with small modification in pipelines and control system/valves was adopted to arrest the surges. It was first of its kind simulation carried out for a huge network of wells/ pipelines by feeding more than 12,000 data to analyze the surge formation cause and capture its dynamism owing to wide array of suspected causes. This will help to address the challenges of efficiently reviewing the entire pipeline network while designing new well pad/GGS and will also help to arrest surge by adopting a low cost solution wherever such situation arises.
复合井流线网络簇中浪涌识别与缓解的实例研究
本文讨论了ONGC的一个陆上油田的案例研究,该油田在处理井液时,观察到频繁的浪涌导致sdv关闭,造成严重的操作问题和生产损失。必须找出问题井/管线,这些井/管线位于集群中,可能会导致井涌的形成,并采取最小修改的缓解措施。在动态多相流模拟器OLGA中建立了65口不同举升方式(间歇气举、连续气举等)的瞬态复杂网络。介绍了间歇式举升井每口井的时间周期。仿真研究揭示了液体流量、压力的脉动瞬态变化趋势,与工厂的实时数据相匹配,从而证实了模型的准确性。在验证结果后,创建了不同的场景来确定浪涌形成的原因。在找到原因后,考虑了一种低成本的方法来缓解浪涌。在OLGA中进行了综合严格仿真,通过输入超过12000个数据点获得模型匹配。建立了举升气量优化、标高和尺寸优化等方案。每个场景后得到的趋势都是脉动行为,与现场SCADA系统中出现的实时数据相匹配。经过对每种情况的严格模拟,确定了井/管线喘振形成的原因。一旦确定了浪涌的根本原因,就可以确定浪涌产生的液体量。对现有分离器进行了充分性检查,以估计现有分离器在普遍运行条件下的处理能力。经过充分性检查,发现现有分离器无法处理在该时间间隔内产生的浪涌,从而越过高-高安全级别,导致关闭阀关闭。在确定浪涌的根本原因后,采用了一种低成本的解决方案,只需对管道和控制系统/阀门进行少量修改即可阻止浪涌。这是第一次对一个巨大的油井/管道网络进行此类模拟,通过提供超过12,000个数据来分析涌浪形成的原因,并捕获由于各种可疑原因而产生的动态。这将有助于解决在设计新井台/GGS时有效审查整个管网的挑战,并通过采用低成本的解决方案,在出现这种情况时有助于遏制井喷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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