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Optimizing Sand Control Treatments Using Gauge Data

机译:使用仪表数据优化沙子控制处理

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While the importance of pre-job design has always been appreciated,detailed post-job evaluation of gravel pack execution data(both surface and downhole)is equally valuable as it provides a means to learn from past treatments,calibrate models,and improve future designs. Traditionally,post-job analysis has been limited to high-level pack evaluation and failure investigation but has a much wider range of applications in the confirmation of success,better understanding of downhole mechanisms and validation of simulation models. Downhole data analysis techniques can be used to isolate sections of the flow path and develop a more detailed understanding of each stage of the treatment from running in the hole(RIH)to pulling out of the hole(POOH). Detailed post-job evaluation is often skipped due to the significant effort involved in data handling as well as the lack of a defined workflow and an integrated software tool. This paper provides an overview of the evaluation and calibration of surface and downhole data along with the steps,workflow and tools required to process the data in the easiest and most efficient manner,enabling faster,more detailed and more accurate analysis of operations. Various case studies are used to demonstrate how post-job evaluation using downhole gauges can be used to efficiently analyse the various stages of the operation including wellbore displacements,reverse and circulating step rate tests and gravel packing operations. A variety of important phenomena are identified and quantified,such as friction pressures,packing mechanisms,fluid displacements,screen plugging and roping,which may otherwise be missed. The paper further illustrates how the defined workflow can maximize the likelihood of success by using post-job evaluation results to better identify and minimize risks during prejob design stages while reducing the need for excessive safety factors within the operational window. The analysis workflows introduced here will maximize the value of downhole gauge data and serve as a reference to practicing completion engineers in the efficient processing,analysis and interpretation of postjob data. It can be used to revisit and better understand historical sand control treatments,and continuously improve future treatments.
机译:虽然预先设计的重要性始终得到了理解,但是对砾石包执行数据(表面和井下)的详细工作后评估同样有价值,因为它提供了从过去处理,校准模型和改善未来设计的方法。传统上,后勤分析仅限于高级包装评估和失败调查,但在确认成功,更好地了解井下机制和仿真模型的验证方面具有更广泛的应用。井下数据分析技术可用于隔离流动路径的部分,并在孔(RIH)中沿着孔(POOH)拉出处理的每个阶段的更详细了解。由于数据处理中涉及的大量努力以及缺少定义的工作流程和集成软件工具,通常会跳过详细的后记评估。本文概述了表面和井下数据的评估和校准以及以最简单和最有效的方式处理数据所需的步骤,工作流程和工具,实现更快,更详细更准确地分析操作。各种案例研究用于展示使用井下仪表的工作后性评估如何用于有效地分析包括井筒位移,反向和循环速率测试和砾石填料操作的操作的各个阶段。鉴定和量化了各种重要的现象,例如摩擦压力,包装机构,流体位移,筛选和绳索,否则可能会错过。本文进一步说明了所定义的工作流程如何通过使用后职业评估结果来最大化成功的可能性,以便更好地识别和最小化Prejob设计阶段期间的风险,同时减少操作窗口内的过度安全因子。这里介绍的分析工作流程将最大化井下计数据的值,并作为参考PostJob数据的有效处理,分析和解释的实践工程师。它可用于重新审视和更好地了解历史防治处理,并不断提高未来的治疗方法。

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