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首页> 外文期刊>International Journal of Greenhouse Gas Control >How well can time-lapse seismic characterize a small CO2 leakage into a saline aquifer: CO2CRC Otway 2C experiment (Victoria, Australia)
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How well can time-lapse seismic characterize a small CO2 leakage into a saline aquifer: CO2CRC Otway 2C experiment (Victoria, Australia)

机译:时间流逝地震如何表征小二氧化碳渗漏到盐水含水层:Co2CRC Otway 2C实验(维多利亚,澳大利亚)

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摘要

Injection of CO2 into brine-saturated reservoir rocks reduces their elastic moduli and thus changes the seismic response. However, estimation of the stiffness reduction and 3D plume morphology have large uncertainty for regular Signal-to-Noise Ratio (SNR) and amount of prior geological information. This paper examines achievable accuracy of the time-lapse seismic inversion based on Stage 2C of the CO2CRC Otway Project, which was specifically designed to test the sensitivity of seismic monitoring. Thanks to rich geological dataset, we could build a set of adequate subsurface models to optimise the inversion workflow and assess its capability. Firstly, 1D stochastic simulations and analytical models are used to estimate the effects of imperfect repeatability and limited bandwidth of the seismic (SNR approximate to 4). Then, we test a prototype inversion workflow on a virtual seismic survey - full-scale time-lapse synthetic seismic produced by 3D simulations in a detailed full-earth model. This test shows that the errors associated with approximate nature of the seismic inversion algorithm reduces SNR to 2.1. Furthermore, detectable thickness of the plume reduces to 10 m when the plume is laterally finite. The key findings of the synthetic study help design the inversion workflow for the Stage 2C field data. Inverted parameters of the CO2 plume agree well with independent measurements, including repeat pulsed-neutron logging, in- and above-zone pressure monitoring and borehole seismic. To extract the plume body from the noisy inversion output, we use a Neyman-Pearson detector augmented by a spatial connectivity constraint. The proposed extraction criterion is then employed to compare history-matched reservoir with the monitoring data. For the simulated CO2 distribution, the proposed workflow would detect 70% of the plume areal footprint. The missed samples correspond to thin parts of the plume with low saturation, and hence their effect on the estimated total mass of CO2 in the reservoir is minimal.
机译:将CO 2注入盐水饱和储层岩石中降低了它们的弹性模量,从而改变了地震反应。然而,刚度降低和3D羽状形态的估计对于常规信噪比(SNR)和现有地质信息的量具有大的不确定性。本文介绍了基于CO2CRC OTWay项目阶段2C的时间流逝地震反演的可实现准确性,专门设计用于测试地震监测的敏感性。由于丰富的地质数据集,我们可以构建一套充足的地下模型,以优化反转工作流程并评估其能力。首先,1D随机模拟和分析模型用于估计不完全重复性和地震带宽的影响(SNR近似为4)。然后,我们在虚拟地震勘测中测试原型反转工作流 - 在详细的全地模型中通过3D模拟生产的全级延时合成地震。该测试表明,与地震反转算法的近似性质相关的误差将SNR降低至2.1。此外,当羽流横向有限时,羽流的可检测厚度降低至10μm。合成研究的主要发现有助于设计阶段2C现场数据的反转工作流程。 CO2羽毛的倒置参数与独立的测量相同,包括重复脉冲 - 中子测井,在和上方的压力监测和钻孔地震下。要从嘈杂的反转输出中提取羽流体,我们使用的是由空间连接约束增强的Neyman-Pearson检测器。然后采用所提取的提取标准来将历史匹配的储层与监测数据进行比较。对于模拟的CO2分布,所提出的工作流程将检测70%的羽流量占地面积。错过的样品对应于血液的薄部分,其饱和度低,因此它们对储存器中估计的CO 2的估计总质量的影响最小。

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