History-matched simulation modeling can be used to estimate field dynamic reservoir properties and connectivity between wells. However, results are less accurate away from the well locations where the field data are obtained. 4-D seismic data can help improve the accuracy between wells and across the field. This study used data from an oil field undergoing active CO₂ injection for enhanced oil recovery and associated CO₂ storage. The change in seismic amplitude, changes in inverted P-wave velocity, and impedance in the reservoir layer are in turn correlated with the pore volume scaled changes in the dynamic reservoir properties at well locations. Impedance and velocity changes yielded the most robust correlations. The correlated linear relations at three injectors were used to invert for the pore volume scaled changes in saturations and pressure between wells and across the field. Validation at the producer yielded 69% accuracy. By tying the 4-D seismic with the reservoir properties at the injectors using repeat pulsed-neutron log data and the simulation models, a good level of confidence is established in the inverted pore volume scaled changes in the dynamic reservoir properties in the interwell spaces. The inverted reservoir properties can be used to further history-match the simulation model to improve the interwell prediction of the long-term fate of the associated CO₂ storage.

历史匹配的模拟模型可用于估算现场动态储层属性和井之间的连通性。但是，如果远离获得现场数据的井眼位置，结果的准确性就会降低。4-D地震数据可以帮助提高井间和整个田间的精度。这项研究使用了来自进行主动CO ₂注入的油田的数据来提高采油量和相关的CO ₂贮存。地震振幅的变化，反向P波速度的变化以及储层中的阻抗又与井眼位置动态储层性质中孔隙体积的变化相关。阻抗和速度变化产生最强的相关性。使用三个注入器的相关线性关系来反演井间和整个油田的孔隙体积的饱和度和压力的比例变化。在生产者处进行的验证产生了69％的准确性。通过使用重复脉冲中子测井数据和模拟模型将4-D地震与注入器处的储层性质联系起来，井间空间中动态储层性质的倒孔体积规模变化建立了良好的置信度。_2个存储。