Production Performance Analysis of Western Siberia Mature Waterflood with Prime Diagnostic Metrics

A. Aslanyan, A. Margarit, A. Popov, I. Zhdanov, E. Pakhomov, M. Garnyshev, D. Gulyaev, R. Farakhova
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Abstract

The paper shares a practical case of production analysis of mature field in Western Siberia with a large stock of wells (> 1,000) and ongoing waterflood project. The main production complications of this field are the thief water production, thief water injection and non-uniform vertical sweep profile. The objective of the study was to analyse the 30-year history of development using conventional production and surveillance data, identify the suspects of thief water production and thief water injection and check the uniformity of the vertical flow profile. Performing such an analysis on well-by-well basis is a big challenge and requires a systematic approach and substantial automation. The majority of conventional diagnostic metrics fail to identify the origin of production complications. The choice was made in favour of production analysis workflow based on PRIME metrics, which automatically generates numerous conventional production performance metrics (including the reallocated production maps and cross-sections) and additionally generates advanced metrics based on automated 3D micro-modelling. This allowed to zoom on the wells with potential complications and understand their production/recovery potential. The PRIME analysis has also helped to identify the wells and areas which potentially may hold recoverable reserves and may benefit from additional well and cross-well surveillance.
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西西伯利亚成熟注水生产动态初步诊断指标分析
本文介绍了西西伯利亚某成熟油田的生产分析实例,该油田井存量大(100万桶),正在进行注水开发。该油田的主要生产问题是产水不足、注水不足和垂直波及剖面不均匀。该研究的目的是利用常规生产和监测数据分析30年的开发历史,识别盗窃产水和盗窃注水的嫌疑人,并检查垂直流动剖面的均匀性。在每口井的基础上进行这种分析是一个很大的挑战,需要系统的方法和大量的自动化。大多数常规诊断指标不能确定生产并发症的起源。最终选择了基于PRIME指标的生产分析工作流程,该流程可以自动生成许多常规生产性能指标(包括重新分配的生产图和横截面),还可以基于自动3D微建模生成高级指标。这可以放大具有潜在复杂情况的井,并了解其生产/采收率潜力。PRIME分析还有助于识别可能拥有可采储量的井和区域,并可能从额外的井和井间监测中受益。
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