Improving carbonate reservoir characterization by applying rock typing methods: a case study from the Nam Con Son Basin, offshore Vietnam

Man Quang Ha, H. M. Nguyen, Dung Viet Bui, Hong Viet Nguyen, Hoa Khac Truong, N. Pham
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Abstract

Understanding the permeability-porosity relationships is the key to improving reservoir prediction and exploitation especially in carbonate reservoirs, which are known for their complex textural and diagenetic variation. Rock type classifications have long been proven to be an effective technique for establishing permeability- porosity relationships, enhance the capability to capture the various reservoir flow behavior and prediction for uncored reservoir zones. This study highlights some of those practical and theoretically-correct methods, such as Hydraulic Flow Unit (HFU); Global hydraulic element (GHE), Winland’s R35 method, Pittman method, Lucia method. They are proposed and tested for identification and characterization of the rock types using a database of 555 core plugs from the Miocene carbonate reservoir in the Nam Con Son basin. It is a large isolated carbonate build-up structure which were deposited within a shallow marine platform interior and are dominated by coral, red algal and foraminiferal packstones, wackestones and grainstones. Hydrocarbons in this reservoir have been found in the upper most part of the late Miocene formation. Conventional core data were first used to define and display the cross plot of permeability and porosity. Different charts and cutoff thresholds were used to classified, defined number of rock type and the linear and non-linear equations were established. The predicted core permeability was calculated using different methods and compared with the actual core permeability for each rock type. The predicted reservoir rock type and permeability predictions of HFU method was recognized to give better matching of measured core permeability with coefficient of more than 89%.
应用岩石分型方法改善碳酸盐岩储层表征——以越南近海Nam Con Son盆地为例
了解渗透率-孔隙度关系是提高储层预测和开发水平的关键,尤其是碳酸盐储层,因为碳酸盐储层具有复杂的结构和成岩变化。岩石类型分类长期以来被证明是建立渗透率-孔隙度关系,提高捕捉各种储层流动行为和预测无芯储层的能力的有效技术。本研究重点介绍了一些实用和理论正确的方法,如液压流量单元(HFU);全局液压元件(GHE), Winland’s R35法,Pittman法,Lucia法。利用南con Son盆地中新世碳酸盐岩储层555个岩心塞的数据库,提出并测试了这些方法,用于识别和表征岩石类型。它是沉积在浅海台地内部的大型孤立碳酸盐堆积构造,以珊瑚、红藻和有孔虫包岩、微晶岩和颗粒岩为主。该储层的油气分布在晚中新世上部。首先使用常规岩心数据来定义和显示渗透率和孔隙度的交叉图。采用不同的图表和截止阈值对岩石类型进行分类,定义岩石类型数量,建立线性和非线性方程。采用不同的方法计算预测岩心渗透率,并与实际岩心渗透率进行比较。HFU方法预测储层岩石类型和渗透率预测结果与实测岩心渗透率拟合较好,拟合系数达89%以上。
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