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Experimental assessment of pore fluid distribution and geomechanical changes in saline sandstone reservoirs during and after CO2 injection

机译:CO2注入过程中和注入CO2砂岩储层孔隙流体分布及地质力学变化的实验评价

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摘要

Responsible CO2 geosequestration requires a comprehensive assessment of the geomechanical integrity of saline reservoir formations during and after CO2 injection. We assessed the geomechanical effects of CO2 injection and post-injection aquifer recharge on weakly cemented, synthetic-sandstone (38% porosity) sample in the laboratory under dry and brine-saturated conditions, before and after subjecting the sample to variable pore pressure brine-CO2 flow-through tests (∼170 h). We measured ultrasonic P- and S-wave velocities (Vp, Vs) and attenuations, electrical resistivity and volumetric strain (εv). Vs was found to be an excellent indicator of mechanical deformation during CO2 injection; Vp gives mechanical and pore fluid distribution information, allowing quantification of the individual contribution of both phenomena when combined with resistivity. Abrupt strain recovery during imbibition suggests that aquifer recharge after ceasing CO2 injection might affect the geomechanical stability of the reservoir. Static and dynamic parameters indicate the sample experienced minor geomechanical changes during CO2 exposure, with an increase of Δεv <3% and a drop in ΔVs ∼1%. In contrast, due to brine-induced hydro-mechanical alteration, Δεv increased by ∼10% and ΔVs by ∼6%. This study provides a multiparameter, thermo-hydro-mechanical-chemical database needed to validate monitoring tools and simulators, for prediction of the geomechanical behaviour of CO2 storage reservoirs.
机译:负责任的二氧化碳地质封存需要对二氧化碳注入期间和注入之后盐储层的地质力学完整性进行全面评估。我们在干燥和盐水饱和的条件下,对样品进行可变孔隙压力盐水处理前后,评估了CO2注入和注入后含水层补给对弱水泥,合成砂岩(孔隙度为38%)样品的地质力学影响。 CO2流通测试(约170小时)。我们测量了超声波P波和S波的速度(Vp,Vs)以及衰减,电阻率和体积应变(εv)。发现Vs是注入CO2时机械变形的极佳指标; Vp提供机械和孔隙流体分布信息,允许结合电阻率量化两种现象的单独贡献。吸水过程中应变的突然恢复表明,停止注入CO2后的含水层补给可能会影响储层的地质力学稳定性。静态和动态参数表明样品在暴露于CO2期间经历了较小的地质力学变化,Δεv<3%的增加和ΔVs的降低约1%。相反,由于盐水引起的水力机械变化,Δεv增加约10%,ΔVs增加约6%。这项研究提供了用于验证监测工具和模拟器所需的多参数,热-水-力学-化学数据库,以预测CO2储层的地质力学行为。

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