蒸汽驱井口温度预测与应用及生产动态监测

Zhengming Yang
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引用次数: 0

摘要

生产管线温度(FLT)可以通过紧急关闭系统(ESD)上的热敏电阻自动测量,也可以通过手持式装置在管线的指定位置手动测量。为了蒸汽驱油藏管理的目的,通常可以绘制测量到的地层温度分布图(Hong, 1994)。同时,预测蒸汽驱作业中流线温度的长期变化趋势,对于设计地面油脱水/分离设施和采出水回收设施都是必要的。该预测温度也将适用于生产性能监控。除了FLT,井口温度(WHT)是另一个地面温度。为了预测井口温度,Hasan、Kabir和Wang(2009)导出了一个稳态解析解,用于在等温初级枯竭过程中,在多段斜井流动条件下,根据井底温度(BHT)计算井底温度(WHT),在给定总速率下,WHT和BHT都与时间无关。该稳态解析解已被扩展到从BHT(两者都是时间相关的)计算蒸汽驱油产生器的WHT,方法是将WHT和FLT测量的月平均值连续近似为稳态解。月平均海拔高度随季节变化,夏季7 - 9月较高,冬季12 - 2月较低。wht(如果测量)和月平均FLT测量都取决于达到未受干扰地温所需深度内的年环境温度周期(通常为30-50英尺,Gwadera, Larwa和Kupiec, 2017)。然而,由于无法描述地热梯度中季节性未扰动的深度,WHT预测仅依赖于过程而不是季节变量。因此,利用实测夏季月热通量的月平均值可以对WHT预测进行验证。这种分析方法中的bht由Lauwerier的分析模型(1955)预测,并通过使用可用的油藏模拟模型或几年的蒸汽驱响应时间的FLT测量进行校准来改进。以南贝尔里奇硅藻土蒸汽驱为例进行了现场研究。将WHT预测与FLT测量相比较,用于诊断和了解生产动态,如水或蒸汽早窜、水驱对蒸汽驱边界产层的干扰以及与注汽目标速率相关的FLT变化。这种诊断分析方法与基于Buckley-Leverett理论的驱替效率分析以及注入压力和速率信号相结合,将有助于提高对驱替细节的理解,并形成优化生产性能的决策基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting and Applying Wellhead Temperatures for Steamflood Field Operation and Production Performance Monitoring
Producer flow line temperatures (FLT) can be measured automatically with a thermistor on an emergency shut-down system (ESD), or manually on a specified spot on flow line with a hand-held unit. Measured FLTs can usually be mapped to represent the formation temperature distribution for steamflood reservoir management purposes (Hong, 1994). In the meantime, predicting the long-term flow-line temperature trend in steamflood operation is necessary for designing surface facilities for both oil dehydration/separation and produced water recycling. This predicted temperature will also be applicable for production performance monitoring. In addition to FLT, wellhead temperature (WHT) is another surface temperature. FLT and WHT are comparable for their close typical distance of 5-10 ft. To predict the wellhead temperature, Hasan, Kabir and Wang (2009) derived a steady state analytical solution for calculating WHT from bottom hole temperature (BHT) under flowing conditions of a multiple section slant wellbore for the isothermal primary depletion process with both WHT and BHT being time independent for a given gross rate. This steady-state analytical solution has been extended to calculate steamflood producer WHT from BHT (both are time-dependent) by approximating WHT and monthly average of FLT measurements to a steady state solution consecutively. The monthly averaged FLTs are seasonally variable and higher in the summer months of July to September and lower in the winter months of December to February. Both WHTs (if measured) and monthly averaged FLT measurements depend on an annual ambient temperature cycle within the depth needed for reaching undisturbed ground temperature (typically 30-50 ft, Gwadera, Larwa and Kupiec, 2017). WHT prediction, however, are only process dependent and not seasonally variable due to the inability in describing seasonally undisturbed depth in the geothermal gradient. Therefore, WHT prediction can be validated with the monthly average of measured summer month FLTs. BHTs in this analytical approach is predicted by Lauwerier's analytical model (1955) and improved by calibrating with the available reservoir simulation model or several years’ FLT measurements for steamflood response timing. A field case study for the South Belridge diatomite steamflood was investigated. WHT prediction is compared with FLT measurement for diagnosing and understanding the production performances such as water or steam premature breakthrough, interference by the waterflood on the steamflood boundary producers, as well as the FLT variation related to steam injection target rates. This diagnostic analysis approach combined with the Buckley-Leverett theory based displacement efficiency analysis, and injection pressure and rate signal, will help to develop an improved understanding of the displacement detail and form a decision base to optimize the production performance.
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