Data-Driven Performance Analysis for Candidate Recognition: A Case Study in a Giant Heterogeneous Carbonate Reservoir

Liang Sun, Bohong Wu, Yan Gao, Yong Li, Y. Jiao, Chenji Wei, Shuzhe Shi
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Abstract

In the whole lifecycle of reservoir development, periodic intervention in wells is the daily work of reservoir management, which is essential to production maintenance and workover activity. The identification of actionable plan at well-by-well level is time consuming and inefficient, especially for reservoirs with a considerable amount of wells. Over-reliance on engineer experience also increase uncertainties over reliable plan. The workflow for candidate screening provides a systematic and efficient approach to dealing with this issue. Prior to commencing the process, reservoir static model and dynamic model were updated to meet recent reservoir performance. The first step was to identify potential wells in two ways, including the typical diagram indicating the relationship between production performance and reservoir properties, and the modified heterogeneity index method introduced by Del Castillo et al. After completing candidate recognition, diagnostic analysis was conducted to determine root causes through dynamic analysis of injection/production performance at well/pattern level. Finally, comprehensive evaluation and forecast for workover activities were carried out in terms of technical and economic aspects, which will facilitate appropriate decision making. This workflow has successfully been applied to a giant heterogeneous carbonate reservoir with gas cap. The identified candidates can be categorized into four types. The whole/partial gas cusping wells with a sharp/gradual increasing trend in gas-oil ratio (GOR) are influenced by gas cap. The gas channeling wells with uneven sweep efficiency are attributed to the injected gas overriding in heterogeneous reservoir. The water cusping wells with medium water cut are influenced by bottom aquifer. Accordingly, an integrated optimization plan is proposed to mitigate the outlined risks. The recompletion strategy with Autonomous Inflow Control Device (AICD) and sliding sleeves is recommended for gas/water cusping wells, and results are phenomenal in terms of segmented isolation of high GOR/water cut intervals and delaying gas/water breakthrough. The converting from gas injection to tapered water-alternating-gas (TWAG) through increasing the ratio of water-to-gas in a step wise process has been implemented for gas channeling wells, and an improved conformance is observed. The TWAG project appears to be promising because of high gas/water utilization efficiency and reduced gas cost. This methodological approach provides a generic workflow for conducting an integrated analysis of workover candidates screening and plan making. Reservoir performance will be monitored and maintained in order to ensure efficient reservoir management practice.
数据驱动的候选物识别性能分析:以大型非均质碳酸盐岩储层为例
在油藏开发的整个生命周期中,定期修井是油藏管理的日常工作,对生产维护和修井活动至关重要。在每口井的层面上确定可行的计划既耗时又低效,特别是对于井数相当多的油藏而言。对工程师经验的过度依赖也增加了可靠计划的不确定性。筛选候选人的工作流程为处理这一问题提供了一种系统而有效的方法。在开始之前,需要更新油藏静态模型和动态模型,以满足油藏的最新动态。第一步是通过两种方法识别潜在井,包括生产动态与储层物性关系的典型图,以及Del Castillo等人引入的改进的非均质性指数方法。在完成候选识别后,进行诊断分析,通过动态分析井/网层的注入/生产性能来确定根本原因。最后,从技术和经济两个方面对修井作业进行综合评价和预测,为合理决策提供依据。该工作流程已成功应用于具有气顶的大型非均质碳酸盐岩储层。已确定的候选储层可分为四种类型。整体/局部气顶井的气油比(GOR)呈陡增/渐增趋势,受气顶的影响,波及效率不均匀的气窜井归因于非均质储层的注气上覆。中等含水的水顶井受底部含水层的影响。据此,提出了一种综合优化方案来降低概述的风险。自动流入控制装置(AICD)和滑套的再完井策略被推荐用于气/水尖顶井,在分段隔离高GOR/含水层段和延迟气/水突破方面效果显著。在气窜井中,通过逐步提高水气比,实现了从注气到锥形水-气交替(TWAG)的转变,并观察到一致性的改善。由于高气/水利用效率和降低天然气成本,TWAG项目看起来很有前景。该方法为进行修井备选方案筛选和计划制定的综合分析提供了通用的工作流程。为了确保有效的油藏管理实践,将监测和维护油藏的动态。
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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