Analysis and Mitigation of High-Pressure and High-Temperature Well Completion Design of Elkin/Franklin Fields in the North Sea

Luay Hameed Shaheed
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Abstract

The development of High-Pressure and High-Temperature (HP/HT) wells is accompanied by high risk, and still represents one of the greatest technological challenges for the oil and gas industry related to the equipments used and their ability to sustain these conditions. The results analysis of data is key to investigating reasons for bad performances and failures of well completion design and detecting at an early stage potential downhole events.This paper applies machine learning to the results of real data analysis of deep and deviated well in the HP/HT environment. It presents techniques used to analyze design limits for the tubing string of the well with different rates of production and water injection, and predict pressure and temperature when multiple operations are applied to the tubular string during the well's lifetime. It also analyzes the most important parameters that impact the tubular string, such as temperature effect, safety factors, and tubing length change. A simulation model for a well has been developed to accomplish the objective of this work by using WellcatTM software modules (Prod & Tube) based on real data from the Elgin/Franklin fields in the North Sea. Two designs of tubular string were used to analyze design limits; the first included a tubing size of 4 ½ in and a latched permanent packer, and the second was identical to the first one but included an expansion joint tool to allow free movement of the tubing, and it was used to mitigate the first well completion design failure. Based on the results of this paper, three load cases (produce-6 months, tubing leak, and water injection) failed in the first design when the rates of oil production and water injection were increased to 12000 bbl/d and 5000 bbl/d respectively, whilst all load cases fell into the triaxial envelope and met the axial criteria in the second design. Furthermore, the predicted results of pressure and temperature for the tubing and surroundings indicate the tubular string could be exposed to buckling problems and serious thermal expansion in the annulus. As well, tubing length can be changed (elongated or shortage) owing to thermal effects during multiple load cases.
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北海Elkin/Franklin油田高压高温完井设计分析及对策
高压高温(HP/HT)井的开发伴随着高风险,并且仍然是石油和天然气行业最大的技术挑战之一,涉及到所使用的设备及其维持这些条件的能力。数据的结果分析是研究完井设计性能不佳和失效原因以及早期发现潜在井下事件的关键。本文将机器学习应用于高温高压环境下深井和斜井的实际数据分析结果。它介绍了用于分析不同产量和注水速度下油井管柱的设计极限的技术,以及在油井生命周期内对管柱进行多次操作时预测压力和温度的技术。它还分析了影响管柱的最重要参数,如温度效应、安全系数和油管长度变化。利用WellcatTM软件模块(Prod & Tube),基于北海Elgin/Franklin油田的真实数据,开发了一口井的模拟模型,以实现这项工作的目标。采用两种管柱设计分析设计极限;第一个包括4.5英寸的油管和一个锁紧的永久封隔器,第二个与第一个相同,但包括一个伸缩节工具,允许油管自由移动,并用于减轻第一次完井设计失败。根据本文的研究结果,在第一次设计中,当产油量和注水量分别增加到12000桶/天和5000桶/天时,3种载荷情况(生产6个月、油管泄漏和注水)都失败了,而在第二次设计中,所有载荷情况都进入三轴包络线,并满足轴向标准。此外,对油管和周围环境的压力和温度的预测结果表明,管柱可能会出现屈曲问题,并在环空出现严重的热膨胀。此外,由于多种负载情况下的热效应,油管长度可能会发生变化(拉长或缩短)。
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