首页> 外文会议>The Urgency of Building Competitiveness to Attract Oil and Gas Investment in Indonesia >AN ANALYTICAL MODEL TO ALLOCATE LAYERED HISTORICAL PRODUCTION DATA TO ENHANCE RESERVOIR MANAGEMENT IN A MATURE WATERFLOOD: THE MINAS FIELD CASE
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AN ANALYTICAL MODEL TO ALLOCATE LAYERED HISTORICAL PRODUCTION DATA TO ENHANCE RESERVOIR MANAGEMENT IN A MATURE WATERFLOOD: THE MINAS FIELD CASE

机译:分配分层历史生产数据以增强成熟洪水中储层管理的分析模型:MINAS油田案例

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Allocating production data among sand layers has always been a problem in managing a multi-layer asset with commingled production. Having a production profile by sand will enhance reservoir management. This study demonstrates that integrating petrophysical and production/completion data into an analytical model is an inexpensive and practical solution to obtain allocated production data by sand layer in Minas Field, Indonesia. The Minas Field has been waterflooded since early 1970's. As technology advancements were made in the area of integrating production and petrophysical data, the opportunity naturally lent itself to Minas. An analytical reservoir model was developed by combining the radial steady-state Darcy equation, material balance, fractional flow concept and Buckley-Leverett Frontal Advance Theory, adopting all associated assumptions. Reliable formation evaluation data are critical for the model. The model analytically simulates waterflooding conditions where reservoir pressure is kept relatively constant and assumes the oil relative permeability profile is responsible for declining oil production. A mechanical skin factor was calculated to represent partial-perforation effects using the Kuchuk-Kirwan formula. Buckley-Leverett was used to estimate post-breakthrough performance. The model runs through 50+ years of completion histories on over 1450 wells. The technique helps to obtain more reliable estimates of production data allocated by sand and also the approximate value of historical average oil saturation by sand. The calculation results were verified by comparing with 36 observed Production Logging Tool (PLT) data. This method has been widely used in Minas and, when combined with diagnostic maps, played a key role in screening and identifying dozens of new candidates. The technique identified the best layers for water injection in the northern area of Minas, which subsequently resulted in a reserves increase of 2.5 MMBO. We believe this technique offers improvements over conventional reservoir flow capacity, kh, techniques and wish to share it for review, comments and suggestions.
机译:在砂层之间分配生产数据一直是混合生产中管理多层资产的问题。通过砂子进行生产可以提高油藏管理水平。这项研究表明,将岩石物理和生产/完井数据整合到一个分析模型中,是一种廉价而实用的解决方案,可以通过印度尼西亚米纳斯油田的砂层获得分配的生产数据。自1970年代初以来,米纳斯油田已注水。随着在整合生产和岩石物理数据方面的技术进步,这种机会自然地赋予了米纳斯。采用所有相关假设,通过组合径向稳态达西方程,物料平衡,分数流概念和Buckley-Leverett额叶超前理论,建立了一个分析储层模型。可靠的地层评估数据对于模型至关重要。该模型分析性地模拟了注水条件,在该条件下油藏压力保持相对恒定,并假设油的相对渗透率曲线导致油产量下降。使用Kuchuk-Kirwan公式计算了机械表皮因子,以表示部分穿孔效应。 Buckley-Leverett被用来评估突破后的表现。该模型在1450多口井上经历了50多年的完井历史。该技术有助于获得更可靠的由砂土分配的生产数据估计,以及获得砂土历史平均含油饱和度的近似值。通过与36个观察到的生产测井工具(PLT)数据进行比较,验证了计算结果。此方法已在米纳斯(Minas)中广泛使用,并且与诊断图结合使用时,在筛选和识别数十个新候选人中起着关键作用。该技术确定了米纳斯北部地区注水的最佳层,随后使储量增加了2.5 MMBO。我们认为该技术相对于常规油藏流量,kh,技术提供了改进,并希望将其共享以供审查,评论和建议。

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