Understanding AICD Gravel Packing

C. Pedroso, Kesavan Govinathan, I. Mickelburgh, Philip Wassouf, C. Latini
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Abstract

In recent years, it has become common practice for operating companies to make a significant effort in the planning of gravel pack installations, especially in their most important wells. Typically, the placement of the gravel pack is accurately modelled, and multiple contingencies developed for potential alternative scenarios to reduce the overall risk of execution. After the pack has been placed, the use of down-hole gauge data enables the gravel pack to be fully evaluated in order to confirm success and investigate any issues or failures. This understanding feeds into improved designs and ever higher success rates for future completions. The most challenging gravel packs Operators are installing today are those placed in long horizontal open holes, around screens fitted with Inflow Control Devices (ICDs) or Autonomous Inflow Control Devices (AICDs). Simulating gravel pack placement in wells such as these requires the effective modelling of unusually dynamic and complex flow paths. Until recently, no simulator could adequately model these treatments. Most jobs have also been done without the downhole gauges necessary for a complete job evaluation, which has resulted in a lack of data for job evaluation and understanding. Consequently, completions requiring the pack to be placed around ICD/AICD screen assemblies have, until recently, been done without the assurance of pre-job gravel pack placement modelling. The lack of an adequate simulator has also meant that, even on these complex and valuable wells, Operators have been restricted to simple volumetric evaluation of their success. With no way to understand actual packing mechanisms or investigate root causes of failures, the assumptions made on how packing occurs in these complex wells have remained unconfirmed. Recent evolution of gravel pack simulators has made the effective pre-job simulation, and post-job evaluation, of gravel packs placed around ICD/AICDs a reality. This paper presents the results of the first evaluation of a multi-proppant deep water horizontal alpha beta gravel pack around AICD screens. It facilitates the understanding of how such gravel packs are placed, validates the packing efficiencies, and illustrates the benefits of using multiple gravels for packing.
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了解AICD砾石充填
近年来,对于运营公司来说,在砾石充填装置的规划上投入大量精力已成为一种普遍做法,尤其是在最重要的井中。通常情况下,砾石充填的位置是精确建模的,并且为潜在的替代方案开发了多种突发事件,以降低执行的总体风险。充填完成后,使用井下测量数据可以对砾石充填进行全面评估,以确认是否成功,并调查任何问题或失败。这种理解有助于改进设计,提高未来完井的成功率。目前,作业者安装的最具挑战性的砾石充填是在长水平裸眼井中,在装有流入控制装置(icd)或自动流入控制装置(aicd)的筛管周围。在此类井中模拟砾石充填需要对异常动态和复杂的流动路径进行有效的建模。直到最近,还没有模拟器能够充分模拟这些治疗方法。大多数作业都是在没有完整作业评估所需的井下仪表的情况下完成的,这导致了作业评估和理解数据的缺乏。因此,直到最近,需要在ICD/AICD筛管组合周围放置砾石充填的完井作业都没有进行作业前砾石充填放置建模。由于缺乏足够的模拟器,即使在这些复杂而有价值的井中,作业者也只能通过简单的体积评估来评估成功与否。由于没有办法了解实际的充填机制或调查失效的根本原因,因此对这些复杂井中如何发生充填的假设仍然没有得到证实。砾石充填模拟器的最新发展使得ICD/ aicd周围砾石充填的有效作业前模拟和作业后评估成为现实。本文介绍了围绕AICD筛管的多支撑剂深水水平α - β砾石充填的首次评价结果。它有助于理解砾石充填的放置方式,验证充填效率,并说明使用多种砾石进行充填的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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