State of the art reservoir monitoring delivers numerous property data with high resolution. Especially the consistent interpretation of pressure data with different geophysical methods requires multi-physical modelling and inversion workflows. Such a workflow is developed based on the reservoir monitoring concept of the Ketzin pilot site for CO₂ storage, Germany. The workflow consists of three physical models, (i) a single phase hydraulic model, (ii) a multiphase CO₂ migration model and (iii) a geoelectrical model. Calibration is carried out to match observation data groups hydraulic pressure, CO₂ pressure, CO₂ arrival time and geoelectrical cross-hole observations. Calibration parameters are spatially distributed hydraulic permeability and porosity, compressibility, the relative permeability function and the geoelectrical saturation exponent. Geoelectrical measurements with low coverage that cannot be inverted with traditional methods could be included, since the multiphysical reservoir model acts as physical regularisation. The indirect nature of geophysical data is overcome by implementation of petrophysical relations between permeability and porosity and between CO₂ saturation and electrical resistivity. Stability against field data is increased by reducing the impact of structural noise through preprocessing the observation data. Stability against the overparameterisation is added by Tikhonov regularisation and singular value decomposition, the latter combined with super parameter definition reducing the problem dimensions and simulation time by three quarters. A synthetic case study demonstrates that the model resolves the spatial permeability and identifies the petrophysical relation between CO₂ saturation and electrical resistivity. The weighting scheme balances different observation data groups and measurement intervals. The model to measurement misfit is reduced proprotionally for all observation data groups, while the geoelectrical data are most difficult to match.

最先进的水库监控技术可提供高分辨率的众多属性数据。特别是用不同的地球物理方法对压力数据进行一致的解释需要多物理模型和反演工作流程。基于德国Ketzin CO ₂储存试点的储层监测概念开发了这样的工作流程。工作流程由三个物理模型组成：（i）单相水力模型，（ii）多相CO ₂迁移模型和（iii）地电模型。进行校准以匹配观察数据组的液压，CO ₂压力，CO ₂到达时间和地电跨孔观测。校准参数是空间分布的水力渗透率和孔隙率，可压缩性，相对渗透率函数和地电饱和指数。由于多物理储层模型可以作为物理调整，因此可以包括传统方法无法逆转的低覆盖率的地电测量。通过实现渗透率和孔隙率以及CO ₂之间的岩石物理关系，可以克服地球物理数据的间接性质。饱和度和电阻率。通过预处理观测数据来减少结构噪声的影响，从而提高了针对现场数据的稳定性。Tikhonov正则化和奇异值分解增加了针对过参数化的稳定性，后者与超参数定义相结合，将问题尺寸和仿真时间减少了四分之三。综合案例研究表明，该模型可解决空间渗透率并确定CO ₂之间的岩石物理关系。饱和度和电阻率。加权方案平衡了不同的观察数据组和测量间隔。对于所有观测数据组，测量失配模型都会按比例减少，而地电数据最难匹配。