New Approach of Synergizing Advanced Well Test Deconvolution, Rate Transient Analysis and Dynamic Modeling in Evaluating Reservoir Compartmentalization Uncertainty at K Field in Sarawak Basin; A Case Study

Aliya Azlan, W.M.S. B Wan Muda, A. Mubaraki, Khairul Ezee Azreen M. Khir, Norhayati M Sahid, Amran B M Zakei
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Abstract

This paper presents the result of synergizing advanced well test deconvolution, rate transient analysis and detailed reservoir modeling to answer the compartmentalization uncertainty demonstrated by downhole pressure data in K field located offshore Sarawak, Malaysia. The gas reservoir is well distributed within approximately 10 × 20 km area and divided into two fault blocks, east and west. The development only focused at eastern area. Based on earlier assessment during Field Development Plan (FDP) stage, no fault has been seen from seismic data interpretation within east area. However, the six years actual performance of the field address different understanding which suggesting possible compartmentalization. Several assumptions were made to reconcile the connected hydrocarbon initially in–place estimated from conventional material balance and static volumetric calculation, however it has led to inconclusive results. The paper draws on the strength of an integrated reservoir engineering studies that include analytical and numerical analysis. The general framework covers advanced well test deconvolution analysis which multiple Pressure Build Ups (PBUs) and flowing duration were interpreted. This helps in guiding reservoir characterization understanding further from the well and type of fault setting within the reservoir. In addition, Rate Transient Analysis (RTA) has been conducted to estimate the connected volume. Several interesting findings will be shared in this paper as well. The combination of these deconvolution and RTA works enhanced the understanding of reservoir compartmentalization which guided the history matching process done through dynamic model. The newly established workflow has reduced the efforts required in history matching process and gave clearer picture of the uncertainty of reservoir compartmentalization.
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砂拉越盆地K油田超前试井反褶积、速率瞬态分析与动态建模协同评价储层划分不确定性的新方法案例研究
本文介绍了先进的试井反褶积、速率瞬态分析和详细的油藏建模协同作用的结果,以回答马来西亚沙拉越海上K油田井下压力数据所显示的分区不确定性。气藏在约10 × 20 km范围内分布良好,分为东、西两个断块。发展只集中在东部地区。根据油田开发计划(FDP)阶段的早期评估,在东部地区的地震资料解释中未发现断层。然而,该领域六年的实际表现涉及不同的理解,这表明可能存在划分。通过常规的物质平衡和静态体积计算,研究人员做出了几个假设,以调和最初在原位估计的连通碳氢化合物,但结果并不确定。本文借鉴了综合油藏工程研究的优势,包括分析和数值分析。总体框架包括先进的试井反褶积分析,其中解释了多个压力累积(PBUs)和流动持续时间。这有助于从井和储层内断层设置类型进一步指导储层特征的理解。此外,还进行了速率暂态分析(RTA)来估计连接容量。本文还将分享一些有趣的发现。这些反褶积和RTA工作的结合增强了对储层分区的理解,从而指导了通过动态模型进行历史匹配的过程。新建立的工作流程减少了历史匹配过程的工作量,更清晰地反映了储层划分的不确定性。
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