仪器故障的后期现场管理。利用历史现场数据对海底凝析气系统进行建模预测和成功验证

L. Lau, Kun An, Wu Jun Tong, Song Wang, Z. Yue, Jiang Nan Duan
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引用次数: 0

摘要

油藏压力降低、含水率增加、系统整体产量下降导致的液含率增加是典型的晚期凝析气生产系统面临的主要挑战。本文阐述了晚期海上海底凝析气系统的建模细节,以及如何利用实际现场数据实施和验证这些发现,以获得成功的结果。目前只有一口海底油井仍在运行,其海底管线相对较长。随着水下压力和温度传感器的设计寿命接近尾声,水下压力和温度传感器将不再使用。在这种情况下,流量保证团队采用建模方法,以最小化成本和最大化价值。建立了详细的瞬态多相热工模型,并根据现场数据进行了基准测试。利用过去两年的历史现场数据来预测井产量和水气比(WGR)等关键参数的趋势。模拟矩阵包括对整个流道的段塞流流态的预测,从井底油藏特征描述到上部段塞流捕集器的流态分析。确定了低风险、中风险和高风险生产阶段的三类运行特征。据预测,该系统将在2个月后开始进入段塞流状态,最终生产结束日期为10个月后。这将与更广泛的团队共享,以便操作和基地管理团队了解剩余生产寿命内的预测多相流特性。因此,天然气供应接替计划可以及时执行,以确保不间断的下游商业协议。作业团队的反馈表明,该分析的准确预测,包括与流量和压力波动相关的段塞流现象,与研究预测的一样,在现场观察到。更重要的是,生产截止日期可以提前10个月准确预测,精度在±1周内。该研究展示了如何将历史现场数据与详细的瞬态多相热工力学模型相结合,用于海上凝析气藏后期产量预测。没有传感器和/或虚拟计量数据馈送,可以根据关键参数分析准确预测生产结束日期。这对于供应接替计划特别有价值,被认为是一个成功的案例研究,具有显著的积极成果,可以作为其他凝析气藏资产的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Late Life Field Management with Instrumentation Failure. Modelling Predictions and Successful Validations of Late Life Subsea Gas Condensate System Using Historical Field Data
Depleting reservoir pressure, increasing water cut and decreasing overall system production leading to increased liquid holdup are among the key challenges for typical late life gas condensate production system. This paper elucidates modelling details of a late life offshore subsea gas condensate system and how the findings are implemented and validated with actual field data for successful outcomes. There is only one subsea well remain in operation with relatively long subsea flowlines. Subsea pressure and temperature transducers are out of service as the asset approaches the end of design life. In this context, flow assurance team has taken the modelling approach in order to minimize cost and to maximize values. Detailed transient multiphase thermohydraulics models are developed and benchmarked against field data. Historical field data over the past two years are utilized in order to predict the trend for key parameters such as well production rates and water to gas ratio (WGR). Matrix of simulation including the predictions of slugging flow regimes are carried out for the entire flow path, from reservoir characteristics descriptions at bottom hole, through flow regimes analysis at topsides slug catcher. Three categories of operation characteristics, namely the low risk, medium risk, and high risk production periods are identified. It is predicted that the system would start to fall into slugging flow regimes from 2 months onwards with final production end date of after 10 months. This is shared with wider team such that operations and base management teams are informed with predicted multiphase flow characteristics for the remaining production life. As such, gas supply succession plan can be executed in time to ensure uninterrupted downstream commercial agreement. Feedbacks from operations team revealed accurate predictions of such analysis, including slugging flow phenomenon which was associated with flow and pressure fluctuations, was observed in field as predicted by the study. More importantly, the production cut-off date is accurately predicted 10 months ahead and within the accuracy of ± 1 week. This study demonstrated how historical field data, coupled with detailed transient multiphase thermohydraulics modelling, can be utilized for offshore gas condensate production predictions during late life. Without transducers and/or virtual metering data feed, production end date can be accurately predicted based on key parameters analysis. This is particularly valuable for supply succession planning and is deemed a successful case study with significant positive outcomes which can be used as reference for other gas condensate assets.
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