Measurements During Drilling Through an Innovative Microchip Technology to Determine Accurate Wellbore Properties for Efficient Drilling Operations

Zuyang Zhu, Jinhai Zhao, A. Mulunjkar, R. Rached, Eduardo Gramajo, Li Fengbo, Zhifa Wang, Zhaorui Shi, Wei Zhang, Weishu Zhao
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Abstract

The measurement of the drilling parameters such as temperature and pressure helps mitigate drilling-related issues and optimize drilling operations on a cost-effective basis. Multiple technologies can measure these parameters; however, the current tools suffer from low bandwidth, associated high cost, and limited measurement locations near the drill bit. This reduced accuracy and transmission rate while drilling can be improved using intelligent microchip tracers and micro-memory balls. These tools can measure the temperature and pressure across an entire wellbore. The proposed tracers include a microprocessor-based circuit board equipped with sensors, a communication antenna, and a rechargeable battery, all protected from the harsh downhole environment through a robust composite material. The advanced microchip tracers and micro-memory ball technologies were tested in the field and provided innovative measurement platforms. The field tests were conducted in various environments, including oil and gas wells, deviated wells, multiple hole sizes, varied fluid densities, and different BHA (Bottom Hole Assembly) geometries. During the operation procedures, the tracers travel in the drilling strings through the drill bit and return to the surface across the annulus. The data is then exported from the tracers for a quasi-real-time analysis. The results showed high success rates, four out of six microchips were successfully retrieved, and the data was made available for immediate analysis. This paper explains the challenges faced during the logging and interpretation of the data needed to define the wellbore characteristics for efficient drilling processes. The developed time-stepping algorithm correlates the measurement timestamp with the calculated depth. Lastly, the report summarizes the highlights of the tracers in terms of density, release mechanism, and collection method.
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通过创新的微芯片技术在钻井过程中进行测量,以确定准确的井眼特性,从而实现高效的钻井作业
温度和压力等钻井参数的测量有助于减轻钻井相关问题,并在经济有效的基础上优化钻井作业。多种技术可以测量这些参数;然而,目前的工具存在带宽低、成本高、钻头附近测量位置有限等问题。在钻井过程中,这种降低的精度和传输速率可以通过智能微芯片示踪剂和微存储球来改善。这些工具可以测量整个井筒的温度和压力。该示踪剂包括一个基于微处理器的电路板,配备传感器、通信天线和可充电电池,所有这些都通过坚固的复合材料保护,免受恶劣的井下环境的影响。先进的微芯片示踪剂和微记忆球技术在现场进行了测试,并提供了创新的测量平台。现场测试在各种环境下进行,包括油气井、斜井、多种井眼尺寸、不同流体密度和不同的底部钻具组合(BHA)几何形状。在作业过程中,示踪剂在钻柱中穿过钻头,然后穿过环空返回地面。然后从示踪剂中导出数据进行准实时分析。结果显示了很高的成功率,6个微芯片中有4个被成功回收,数据可以立即分析。本文解释了在测井和解释数据时所面临的挑战,这些数据需要定义有效钻井过程中的井眼特征。所开发的时间步进算法将测量时间戳与计算深度相关联。最后,从示踪剂的浓度、释放机制和收集方法等方面对其进行了综述。
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