3D DAS-VSP照明建模在马来西亚沙捞越近海CO2羽流迁移监测

P. Tiwari, Zoann Low, P. A. Patil, D. Das, P. Chidambaram, R. Tewari
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引用次数: 0

摘要

在枯竭的碳酸盐岩储层中监测CO2羽流迁移是一项具有挑战性的工作,需要全面和开创性的监测技术。四维时移地震显示了地质储层内CO2羽流的迁移,但在受气体烟囱影响的区域,由于信噪比较差,使得CO2羽流识别和解释的不确定性增大。利用分布式声学传感器(DAS)技术进行高分辨率三维垂直地震剖面(VSP)测量,可以获得详细的地下图像,包括CO2羽流迁移、储层结构、次地震断层和裂缝网络以及盖层。将定量地球物理和动态模拟与照明建模相结合,增强了三维DAS-VSP监测CO2羽流迁移的能力。对储层进行了详细的研究,并进行了综合耦合动态模拟,将模拟结果与地震正演模拟相结合,研究了CO2羽流在储层中的迁移及其对地震振幅的影响。通过综合储层和覆盖层解释、声波测井和地震速度进行三维VSP照明建模,以说明储层顶部的地下覆盖面积。基于不同的源毯尺寸,模拟了几种采集测量几何形状,以获得有效的地表源对地下照明的贡献,并对结果进行了分析,以设计用于早期CO2羽流迁移监测的3D VSP测量。通过结合拟井照明分析,将照明模拟与3D DAS-VSP的CO2羽流全现场监测动态模拟相结合。分析了综合耦合动力模拟结果和四维地震可行性,选择了部署多光纤传感器系统(M-FOSS)技术的最佳井位。分析了碳酸盐岩储层顶部近、中、远角度叠组合成AVO(振幅与偏移量)集束在生产前和注前储层条件下的振幅响应。通过四维时移地震观测,可以识别出衰竭储层25-30%的CO2饱和度,展望了三维DAS-VSP采集技术的应用前景。对三维VSP照明建模结果的源斑分析表明,6km×6km的源毯足以在油藏顶部产生最大直径约2km的地下照明。拟井照明分析结果表明,目前计划的注水井可能能够监测早期的二氧化碳注入,但为了进行全油田监测,需要额外的监测井或VSP和地面地震的混合调查。综合建模方法确保了4D地震在地下CO2羽流监测中的鲁棒性。通过3D DAS-VSP监测压力升高将降低相关风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D DAS-VSP Illumination Modeling for CO2 Plume Migration Monitoring in Offshore Sarawak, Malaysia
Monitoring of CO2 plume migration in a depleted carbonate reservoir is challenging and demand comprehensive and trailblazing monitoring technologies. 4D time-lapse seismic exhibits the migration of CO2 plume within geological storage but in the area affected by gas chimney due to poor signal-to-noise ratio (SNR), uncertainty in identifying and interpretation of CO2 plume gets exaggerated. High resolution 3D vertical seismic profile (VSP) survey using distributed acoustic sensor (DAS) technology fulfil the objective of obtaining the detailed subsurface image which include CO2 plume migration, reservoir architecture, sub-seismic faults and fracture networks as well as the caprock. Integration of quantitative geophysics and dynamic simulation with illumination modelling dignify the capabilities of 3D DAS-VSP for CO2 plume migration monitoring. The storage site has been studied in detailed and an integrated coupled dynamic simulation were performed and results were integrated with seismic forward modeling to demonstrate the CO2 plume migration with in reservoir and its impact on seismic amplitude. 3D VSP illumination modelling was carried out by integrating reservoir and overburden interpretations, acoustic logs and seismic velocity to illustrate the subsurface coverage area at top of reservoir. Several acquisition survey geometries were simulated based on different source carpet size for effective surface source contribution for subsurface illumination and results were analyzed to design the 3D VSP survey for early CO2 plume migration monitoring. The illumination simulation was integrated with dynamic simulation for fullfield CO2 plume migration monitoring with 3D DAS-VSP by incorporating Pseudo wells illumination analysis. Results of integrated coupled dynamic simulation and 4D seismic feasibility were analyzed for selection of best well location to deploy the multi fiber optic sensor system (M-FOSS) technology. Amplitude response of synthetic AVO (amplitude vs offsets) gathers at the top of carbonate reservoir were analyzed for near, mid and far angle stacks with respect to pre-production as well as pre-injection reservoir conditions. Observed promising results of distinguishable 25-30% of CO2 saturation in depleted reservoir from 4D time-lapse seismic envisage the application of 3D DAS-VSP acquisition. The source patch analysis of 3D VSP illumination modelling results indicate that a source carpet of 6km×6km would be cos-effectively sufficient to produce a maximum of approximately 2km in diameter subsurface illumination at the top of the reservoir. The Pseudo wells illumination analysis results show that current planned injection wells would probably able to monitor early CO2 injection but for the fullfield monitoring additional monitoring wells or a hybrid survey of VSP and surface seismic would be required. The integrated modeling approach ensures that 4D Seismic in subsurface CO2 plume monitoring is robust. Monitoring pressure build-ups from 3D DAS-VSP will reduce the associated risks.
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