Bringing Flexibility and Automation to Well Testing Operations Through Wireless Telemetry - Case Study

Elias Temer, Deiveindran Subramaniam, Y. Kaipov, Carlos Merino, Vladimirovich Latvin, Alexanderovich Barylnik
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Abstract

Dynamic reservoir data are a key driver for operators to meet the forecasted production investments of their fields. However, many challenges during well testing, such as reduced exploration and capex budgets, complex geologic structures, and inclement weather conditions that reduce the well testing time window can prevent them from gathering critical reservoir characterization data needed to make more informed field development planning decisions. To overcome these challenges, a live, downhole reservoir testing platform enabled the most representative reservoir information in real time and connected more zones of interest in a single run for appraisal wells in the Sea of Okhotsk, Russia. This paper describes the test requirements, the prejob planning, and automated execution of wirelessly enabled operations that led to the successful completion of the well test campaign in very hostile conditions, a remote area, and restricted period. The use of a telemetry system to well testing in seven zones enabled real-time control of critical downhole equipment and acquired data at surface, which in turn was transmitted to the operator's office in town in real time. Various operation examples will be discussed to demonstrate how automated data acquisition and downhole operations control has been used to optimize operations by both the service company and the operator.
通过无线遥测技术为试井作业带来灵活性和自动化-案例研究
动态油藏数据是作业者实现油田生产投资预测的关键驱动因素。然而,在试井过程中存在许多挑战,例如勘探和资本支出预算的减少、复杂的地质结构和恶劣的天气条件,这些都减少了试井时间窗口,这些都阻碍了他们收集关键的油藏特征数据,从而无法做出更明智的油田开发规划决策。为了克服这些挑战,在俄罗斯鄂霍次克海,一个实时的井下油藏测试平台实现了最具代表性的油藏实时信息,并在一次下入评评井中连接了更多感兴趣的区域。本文介绍了测试要求、作业前计划以及无线作业的自动执行,这些都使得在非常恶劣的条件下、偏远地区和有限的时间内成功完成了试井作业。使用遥测系统进行七个区域的试井,实现了对关键井下设备的实时控制,并在地面采集数据,然后将数据实时传输到镇上的作业者办公室。本文将讨论各种作业实例,以展示自动化数据采集和井下作业控制是如何被服务公司和运营商用于优化作业的。
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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