巴林油田Nahr Umr油藏优化及监测挑战

A. Al-Muftah, M. Hameed, M. Mansoor
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摘要

巴林油田的Nahr Umr储层包括三个储层(Cab、Cc和Cd),从钙质粉砂岩到砂岩。它们是巴林油田的第二大产油区,上覆Mauddud灰岩储层,由8 - 10′页岩隔开。所有这些储层自30年代初以来一直在生产,Mauddud储层自1938年以来一直在注气。这些储层具有不同的流体含量和不同的水动力系统,通过广泛的断裂相互沟通。动态模型表明,由于在Mauddud储层断层顶部进行了重力抽采注气工程,已经从Mauddud储层向Cab输送了大量的通量。此外,Nahr Umr Cab储层的高采收率表明,在某些地区,它在压差的支持下充当了Mauddud的排水点。对于这些具有较长生产历史的成熟油藏来说,识别旁路油、欠发达区、连通区、定位填充井和提升储量是一项具有挑战性的任务。本文介绍了一个实际应用过程(1)开发了一个系统的生产优化和储层分析工作流程;(2)识别和突出储层趋势、模式和异常;(3)找出表现不佳的井/区域,并提出解决方案。(4)确定总体开发计划中考虑的基本模式。挑战在于如何在短时间内以具有成本效益的方式评估大型数据集。该技术使用了一个简化的油藏评估流程,该流程需要通过将数据与与油藏静态和动态模型相关的几个过程相结合来收集、格式化和验证数据。对这些模型的快速解释可以生成机会区域、重新完井候选区域以及储层中的新填充潜力。基于在Nahr Umr区域运行的过程,可以了解储层的动态以及与油田开发相关的主要问题。利用这些技术,适当地采用了最近完成的开发钻井方案,以实现有效的油藏管理过程,以开发油田,降低递减率,提高采收率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reservoir Optimization and Monitoring Challenges in Nahr Umr Reservoirs of Bahrain Field
Nahr Umr reservoirs in Bahrain Field consist of three reservoirs (Cab, Cc and Cd) that vary from calcareous silt stones to sand stones. They are the second major producing zones in Bahrain Field and are overlain by Mauddud limestone reservoir separated by 8 - 10' shale. All these reservoirs have been on production since early thirties and Mauddud reservoir has been under gas injection since 1938. These reservoirs with diverse fluid contents and hydro-dynamically different systems communicate with each other through the extensive faulting. Based on a dynamic model, it shows significant amount of flux already had transfered from the Mauddud reservoir to Cab due to gravity drainage gas injection project in the faulted crestal part of the Mauddud reservoir. Furthermore, the high recovery in Nahr Umr Cab reservoir indicates of acting as drainage point from Mauddud supported by the differential pressure in some areas. For such mature reservoirs with a long production history, identifying by-passed oil, underperforming areas, areas under communication, locating infill wells and upgrading the reserves are challenging tasks. This paper describes the application of a practical process (1) Development of a systematic workflow for production optimization and reservoir analysis; (2) Identifying and highlighting reservoir trends, patterns and anomalies; (3) Locating the under performing wells/areas, and recommend solutions (4) Identifying essential patterns for consideration in overall development plan. The challenge was to evaluate large data sets in a short time and cost-effective manner. The technique uses a streamlined workflow of reservoir assessment processes, which require data gathering, formatting and validation through combining the data with several processes associated with both the static and the dynamic model of the reservoir. Quick interpretations of these models generate opportunity regions, re-completion candidates, and new infill potential in the reservoir. Based on the processes run in the Nahr Umr zones it was possible to understand the reservoir performance and main issues associated with field development. Utilizing these techniques, the recently completed development drilling program was suitably adopted to realize an efficient reservoir management process for developing the field with the objectives of decreasing decline rate and increasing the recovery.
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