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Perforation Performance Simulation in Complex Multicasing Scenarios

机译:复杂多种式方案中的穿孔性能模拟

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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.
机译:插头和放弃(P&A)应用中的常见程序是使用中空钢载体穿孔枪系统展开的爆炸性电荷,以使孔穿孔成单个或多个同心套管串,以允许流动路径用于隔离流体,例如水泥或树脂将从表面泵入环形空间以提供永久性压力密封,以防止流体流动。规划这些选择性穿孔操作时,有两个关键性能结果对于预测是至关重要的:(1)确定穿孔隧道是否将穿透外壳柱的壁,从而冒着流体释放/防止压力储存;(2)确定进入每个套管的入口孔直径(围绕井周围产生的每个孔) - 包括通过多个同心套管串 - 以确保存在足够的流量区域(和流速)以挤压水泥的成功泵送操作,或用于洗涤操作以制备用于水泥挤压的环形空间。在需要考虑所有套管特性和环形材料定位的效果,所以渗透估计远远超出发布的API RP-19B数据的范围已经开发了校准和现场可用的仿真方法,以帮助弥合已知的渗透数据和新颖场景之间的差距。计算引擎基于分为六个类的井筒材料;每个班级为每个穿孔器充电有三个参数:最大穿透深度,用于渗透效率的动力操作员,以及孔尺寸的效率的动力运营商。该模拟过程已经能够利用大孔(BH)电荷的长孔间隙的非常复杂的行为,以预测在非常具有挑战性的P&A场景中的有限渗透率。使用近2,000个历史穿孔器的数据库校准每个穿孔电荷的24个系数值用实际井筒材料进行电荷测试。所得到的工具可以预测从一个到不同厚度和强度的一到六层钢的场景的穿透深度和孔尺寸。此外,该工具可以在长达几英寸厚的环形空间中处理流体或混凝土。电力的使用用于这些功能的操作员可以实现多层中的非线性穿透事件的现实复制,以及长途通行中的BH性能的双曲函数。虽然观察到从电荷的设计类型导出的通用系数,以在这些复杂的穿孔场景中产生合理的性能估计,使用不同材料进行实际测试校准有助于改善这些预测。本文提供了有关用于估算高度复杂的穿孔性能的新方法的详细信息,这些方法类似于P&A操作中经常发现的那些类似的多种方式。该方法利用了透过沿喷射路径极为非线性的理解,并因充电设计而变化和材料。使用大集实际测试数据的方法的校准为结果增加了宝贵的现实主义。

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