马来西亚近海Sarawak盆地枯竭碳酸盐岩礁储层的亚地震尺度储层结构建模

Z. Cai, A. Widyanita, P. Chidambaram, E. A. Jones
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摘要

建立一个基于有限数据的静态油藏数值模型,以表征与地质概念模型相对应的油藏结构,仍然是一个挑战。礁体静态储层数值模型已经从过于简化的罐式模型、简单的多层模型发展到更能真实表征复杂储层的复杂多层模型。在CO2储层开发计划(SDP)研究中,采用了一个简单的多层模型,并采用比例分层方案,作为最可能匹配地质复杂性的情景。利用测量、监测和验证(MMV)技术,可以在CO2注入阶段进行模型细化,跟踪CO2羽流分布。所选储层为中-晚中新世碳酸盐礁杂岩,礁体发育有3个阶段:1)基底海侵期、2)下堆积期、3)上堆积期。三维地震反射数据确定了3个年代地层面作为带边界,并将其划分为子带和层。比较了“比例法”、“跟顶法”、“跟底法”和“跟顶参考面法”四种分层方法。三维静态储层模型的基本情况选择比例分层法,其他方法用于不确定性分析。根据不确定性和风险评估的结果,建立了CO2注入作业的风险缓解模型,并优化了3个CO2注入井的位置。根据模拟的CO2羽流模式与MMV结果之间的差异,油藏结构模型将在未来得到更新和完善。
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Reservoir Architecture Modeling at Sub-Seismic Scale for a Depleted Carbonate Reef Reservoir for CO2 Storage in Sarawak Basin, Offshore Malaysia
It is still a challenge to build a numerical static reservoir model, based on limited data, to characterize reservoir architecture that corresponds to the geological concept models. The numerical static reef reservoir model has been evolving from the oversimplified tank-like models, simple multi-layer models to the complex multi-layer models that are more realistic representations of complex reservoirs. A simple multi-layer model for the reef reservoir with proportional layering scheme was applied in the CO2 Storage Development Plan (SDP) study, as the most-likely scenario to match the geological complexity. Model refinement can be conducted during CO2 injection phase with Measurement, Monitoring and Verification (MMV) technologies for CO2 plume distribution tracking. The selected reservoir is a Middle to Late Miocene carbonate reef complex, with three phases of reef growth: 1) basal transgressive phase, 2) lower buildup phase, and 3) upper buildup phase. Three chronostratigraphic surfaces were identified on 3D seismic reflection data as the zone boundaries, which were then divided into sub-zones and layers. Four layering methods were compared, which are ‘proportional’, ’follow top’, ‘follow base’ and ‘follow top with reference surface’. The proportional layering method was selected for the base case of the 3D static reservoir model and the others were used in the uncertainty analysis. Based on the results of uncertainty and risk assessment, a risk mitigation for CO2 injection operation were modeled and three CO2 injection well locations were optimized. The reservoir architecture model would be updated and refined by the difference between the modeled CO2 plume patterns and The MMV results in the future.
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