首页> 外文期刊>Journal of Energy Resources Technology >Kick Detection Using Downhole Accelerometer Data
【24h】

Kick Detection Using Downhole Accelerometer Data

机译:使用井下加速度计数据挖掘检测

获取原文
获取原文并翻译 | 示例
       

摘要

The high-frequency downhole vibration data include a greater amount of hidden information than the low-frequency surface data. This paper proposes the monitoring of high-frequency acceleration data for early kick detection. The trend of accelerator sensor values is monitored, rather than processed. When the gas, fluid, or oil kick occurs, the fluid influx reduces the viscosity of the fluid in annulus, which causes the degradation of the damping factor. The sensor installed on the drillpipe detects the velocity/acceleration change that results in the damping factor change. This approach includes an analytical model to calculate the effect of the damping ratio on the acceleration calculations. The fluid influx and migration in the wellbore strongly affect the damping factor. The paper presents a method of deconvoluting the sensor values that uses a combination of minimum entropy deconvolution and Teager-Kaiser energy operator to remove the noise, unwanted sensor values, and likelihood of false prediction. It is then proposed to calculate instantaneous jerk and jerk intensity at each depth. The trend of the final intrinsic mode functions (IMF) at each depth is continuously monitored to predict the formation influx, if any. A novel concept of monitoring the incremental IMF and IMF energy at each depth is introduced. This technique is shown to reveal a wealth of information and simplifies the process of monitoring and analyzing the vast amount of available data. The methodology developed is applied to extract the essential information from high-frequency vibration data to make real-time data monitoring straightforward, reliable, and fast.
机译:高频井下振动数据包括比低频表面数据更大的隐藏信息。本文提出了监测早期踢球检测的高频加速度数据。监控加速器传感器值的趋势,而不是加工。当发生气体,流体或油踢时,流体流入降低了环空中的流体的粘度,这导致阻尼因子的降解。安装在钻筒上的传感器检测到导致阻尼因子变化的速度/加速度变化。该方法包括分析模型,以计算阻尼比对加速度计算的影响。井筒中的流体流入和迁移强烈影响阻尼因子。本文介绍了一种解构使用最小熵解卷积和Teadger-kaiser能量运营商的组合的传感器值的方法,以去除噪声,不需要的传感器值和假预测的可能性。然后提出在每个深度下计算瞬时混蛋和混蛋强度。每次深度的最终内在模式功能(IMF)的趋势被连续监测,以预测形成涌入,如果有的话。介绍了在每个深度处监测增量IMF和IMF能量的新颖概念。此技术显示出揭示大量信息,并简化了监视和分析大量可用数据的过程。开发的方法应用于从高频振动数据中提取基本信息,以使实时数据监控直接,可靠,快速。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号