Automated Workflow Based on Transient, Multiphase Technology Improves Well Control Planning Efficiency and Reduces Risk

Bjoern-Tore Anfinsen, I. Mosti, Waldemar Szemat-Vielma
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Abstract

The use of automated workflows for engineering calculations is significantly improving the efficiency of modern well planning systems. Current automated well control solutions are at large limited to single bubble considerations. Transient, multiphase technology has proven to be more accurate and reliable for well control planning, but it has been too complex to automate and integrate into automated engineering systems. The objective of this work is to improve well control planning efficiency by using an automated workflow that enables integration of transient multiphase technology into modern well-planning systems. The workflow is based around an advanced multiphase engine that covers all relevant physical processes in the wellbore including transient temperature and acceleration. The model has an accurate equations-of-state- (EOS) based pressure-volume-temperature (PVT) model with compositional tracking that, in combination with the transient temperature, can accurately predict the transition from dissolved to free gas - a key parameter in the development of a kick. The workflow is based on Driller's method and has been automated with a controller network that moves the simulation through the distinct phases of the driller's first circulation without any interaction from the user. High-performance cloud computing ensures the workflow performance. The drilling industry has focused on risk reductions after the Deepwater Horizon (BSSE 2010) accident. But the well-control risk is still high. In Norway, the reported incidents indicate a flat or increasing trend. Geological uncertainties and inaccurate mud density (static and circulating) have been identified as root causes for the majority of the reported incidents. Transient multiphase models are reducing well-control risk by accurately modeling downhole variations in fluid pressure as a function of operational mode, fluids, influx type, geometry, water depth, and pressure and temperature conditions. Such models have been regarded as expert tools because of the complexity and numerically demanding simulations. The automated workflow enables a well control engineer to run accurate multiphase simulations with the same user effort as single bubble kick tolerance tools. In special cases where more sensitivities are required, it is easy to transfer the project to the expert mode - where the automated simulation can be finetuned.
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基于瞬态多相技术的自动化工作流程提高了井控规划效率,降低了风险
工程计算自动化工作流程的使用显著提高了现代油井规划系统的效率。目前的自动化井控解决方案基本上仅限于单个气泡的考虑。事实证明,瞬态多相技术在井控规划方面更加准确和可靠,但它过于复杂,无法实现自动化,也无法集成到自动化工程系统中。这项工作的目标是通过使用自动化工作流程,将瞬态多相技术集成到现代井控规划系统中,从而提高井控规划效率。该工作流程基于先进的多相引擎,涵盖了井筒中所有相关的物理过程,包括瞬态温度和加速度。该模型具有精确的基于状态方程(EOS)的压力-体积-温度(PVT)模型,具有组分跟踪,结合瞬态温度,可以准确预测从溶解气体到游离气体的转变,这是井涌发展的关键参数。该工作流程基于司钻的方法,并通过控制器网络实现自动化,该控制器网络可以在司钻第一次循环的不同阶段进行模拟,而无需用户进行任何交互。高性能的云计算保证了工作流程的性能。在深水地平线(BSSE 2010)事故发生后,钻井行业一直致力于降低风险。但井控风险仍然很高。在挪威,报告的事件显示出持平或增加的趋势。地质的不确定性和不准确的泥浆密度(静态和循环)已被确定为大多数报告事故的根本原因。瞬态多相模型通过准确地模拟井下流体压力随作业模式、流体、流入类型、几何形状、水深、压力和温度条件的变化,降低了井控风险。由于模拟的复杂性和数值要求,这些模型被认为是专家工具。自动化的工作流程使井控工程师能够像使用单个气泡涌容差工具一样,进行精确的多相模拟。在需要更高灵敏度的特殊情况下,很容易将项目转移到专家模式-可以对自动模拟进行微调。
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