考虑油藏流态的自动产量估算流程——科威特集成数字油田

Y. Al-salali, Mansour Al-Awadhi, Abrar A. Hajjeyah, Muna Al-Shuaib, Alaa Al-Saleh, M. Useche, C. Vargas, Aditya Saxena, Osaretin Greg Idele
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摘要

本文提出了一种自动化的工作流程,可以利用高频数据估计一口井的油气产量,区分储层在瞬态流动和伪稳态流动条件下的行为。新方法通过调整井底压力,将井模型的井口压力与SCADA系统报告的当前值相匹配。对于瞬态流动,它考虑了流入动态关系的响应作为时间的函数。对于拟稳态流动,考虑了储层压力的递减。每隔15分钟估算一次产量,根据有效流动时间计算每日总产量。为了评估新的井速估计工作流的准确性,使用两个不同的标准来评估工作流的输出。首先,将估计的油气产量与实际试井数据进行比较,作为质量控制点。其次,考虑到流体性质随时间保持稳定(含水率和气油比),通过节流阀的临界流量定义了历史生产趋势,用于量化估定值的偏差。作为新的工作流应用程序的结果,估计和测量速率之间的差异从10%减少到3%。新方法的新颖之处在于,它减少了根据实际油藏压力变化估计油气产量的误差,为不同油藏的工程分析提供了更精确的数据。
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Automatic Production Rate Estimation Workflow Considering the Reservoir Flow Regime - Kuwait Integrated Digital Oilfield
This paper presents an automated workflow that can estimate the oil and gas rates of a well, with the high frequency data, distinguishing the behavior of the reservoir under transient flow and pseudo steady state flow conditions. The new approach matches the wellhead pressure of a well model with the current value reported by a SCADA system, by adjusting the bottomhole pressure. For transient flow, it considers the response of the inflow performance relationship as a function of time. For pseudo steady state flow, it considers the declination of the reservoir pressure. The estimation of the production rate is carried out every 15 minutes, and the total daily produced volume is calculated based on the effective flowing time. To evaluate the accuracy of the new well rate estimation workflow, the output of the workflow is evaluated using two different criteria. Initially, the estimated oil and gas productions are compared with data from a real well test that is used as a quality control point. Secondly, considering that the fluid properties remain stable over time (water cut and gas-oil ratio), the critical flow through a choke valve defines a historical production trend that is used to quantify the deviation of the estimated values. As a result of the new workflow application, the difference between the estimated and measured rates decreased from 10% to 3%. The novelty of the new method is that it reduces the error of the estimated oil and gas production rates using the actual reservoir pressure behavior and provides more precise data for the different reservoir engineering analyzes.
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