复杂多址场景下射孔性能模拟

Thomas Earl Burky, G. Craddock, J. Lavery
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引用次数: 1

摘要

在桥塞弃井(P&A)作业中,常见的一种方法是使用空心钢载体射孔枪系统部署的炸药聚能药,将射孔射入单个或多个同心套管柱中,为隔离流体(如水泥或树脂)提供流动通道,从地面泵入环空空间,提供永久压力密封,防止流体流动。在规划这些选择性射孔作业时,有两个关键的性能结果对预测至关重要:(1)确定射孔通道是否会穿透最外层套管柱的管壁,从而有可能释放流体/阻止压力控制;(2)确定每个套管柱的入口孔径(在井周周围形成的每个孔),包括通过多个同心套管柱,以确保有足够的流动面积(和流速),以便在挤压作业中成功泵送水泥,或在清洗作业中为水泥挤压准备环空空间。由于需要考虑所有套管特性的影响以及环空材料的定位,因此该贯深估算远远超出了API RP-19B公布的数据范围。一种校准和现场可用的模拟方法已经开发出来,以帮助弥合已知渗透数据和新场景之间的差距。计算引擎基于井筒材料,分为6类;每种类型的射孔器装药都有三个参数:最大穿透深度、穿透效率的动力操作器和井眼尺寸效率的动力操作器。此外,该模拟过程还能够利用大射孔(BH)装药在长射孔间隙中的复杂行为,在极具挑战性的弃井作业中预测有限侵彻的结果。通过使用实际井筒材料进行的近2000次历史射孔器装药测试,对每个射孔器装药的24个系数值进行了校准。由此产生的工具可以预测从一层到六层不同厚度和强度的钢材的穿透深度和孔尺寸。此外,该工具还可以在厚达几英寸的环空空间中处理流体或混凝土。对这些函数使用幂算符,可以在多层中真实地复制非线性穿透事件,并在长间隙中使用双曲函数来表示BH性能。虽然在这些复杂的射孔场景中,从装药设计类型中得出的一般系数可以产生合理的性能估计,但通过使用不同材料的实际测试进行校准有助于改进这些预测。本文详细介绍了一种新方法,该方法用于评估高度复杂、多工况下的射孔器性能,类似于封堵弃井作业中常见的情况。该方法充分认识到,穿透结果沿射流路径是非常非线性的,并且随着电荷设计和材料的不同而变化。使用大量实际测试数据对方法进行校准,增加了结果的真实感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perforation Performance Simulation in Complex Multicasing Scenarios
A common procedure within plug-and-abandonment (P&A) application is to use explosive shaped charges deployed by hollow steel carrier perforating gun systems to perforate holes into single or multiple concentric casing strings to allow a flow path for isolation fluids such as cement or resin to be pumped from surface into annular spaces to provide a permanent pressure seal to prevent the flow of fluids. When planning these selective perforating operations, there are two key performance results which are crucial to predict: (1) determine whether or not the perforation tunnel will penetrate through the wall of the outer most casing string, thereby risking a release of fluids/preventing pressure containment; (2) determine the entrance hole diameter (of each hole created around the circumference of the well) into each casing string – including through multiple concentric casing strings – to ensure that adequate flow area (and flow velocity) are present for the successful pumping of cement in a squeeze operation, or for a washing operations to prepare an annular space for a cement squeeze. With the need to consider the effects of all casing characteristics and positioning of annulus materials, the penetration estimate is far outside of the scope of published API RP-19B data. A calibrated and field-usable simulation method has been developed to help bridge the gap between known penetration data and novel scenarios. The calculation engine is built on wellbore materials categorized into six classes; each class having three parameters for each perforator charge: maximum penetration depth, a power operator for efficiency of penetration, and a power operator for efficiency of hole size. Further, this simulation process has been able to leverage the very complex behavior of big hole (BH) charges in long gun clearances to predict limited penetration results in very challenging P&A scenarios. Together, 24 coefficient values for each perforator charge are calibrated using a database of nearly 2,000 historical perforator charge tests conducted with actual wellbore materials. The resulting tool can predict penetration depth and hole size for scenarios ranging from one to six layers of steel of varying thickness and strength. In addition, the tool can handle fluids or concrete in annular spaces of up to several inches thick. The use of power operators for these functions enables the realistic replication of nonlinear penetration events in multiple layers, as well as hyperbolic functions for BH performance in long clearances. Although generic coefficients derived from a charge's design type were observed to produce reasonable performance estimates in these complex perforation scenarios, calibration by actual testing using varying materials helps to improve these predictions. This paper provides details about a novel approach used to estimate perforator performance in highly complex, multicasing scenarios that are similar to those often found in P&A operations. The approach leverages the understanding that penetration results are extremely nonlinear along the jet path and vary by charge design and materials. The calibration of the method using a large set of actual test data adds valuable realism to the results.
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