... a proprietary geostatistical inversion and how it is integrated into the dynamic model will be shown. upstream oil & gas model 2 reservoir characterization injector seismic acquisition waterflooding seismic data dynamic model sandstone producer injection acoustic impedance change intra...

... data, including production data and time-lapse seismic data. The toolkit enables users to create customized images that highlight important aspects of data and models, helping the team to decide how to proceed. Images that drive decisions are referred to as actionable insights. The toolkit is also used...

... parameters. Among them, production data are the most used in history matching, but others also provide valuable complementary information. In this work, we take inter-well tracer and 4D seismic data as the extra sources of information for their high potentials for improving the understanding of reservoir...

... in getting the representation coefficients and the built-in capacity in estimating noise levels (in terms of standard deviations) of observed seismic data AI° through wavelet-based denoising ( Luo and Bhakta, 2017 ). On the other hand, wavelet basis functions are independent of the dataset under...

... because of irregular channel patterns. With the accessibility of 3D or 4D seismic data, there has been great interest in using machine learning models for seismic reservoir characterization such as facies classification and determining the nonlinear relationship between reservoir properties and seismic...

... Abstract This work presents the use of Dictionary Learning methods for a sparse representation of 4D seismic data in history matching. We consider a trade-off between the number of coefficients retained in the sparse data representation, the computational cost, and how well we can capture...

... reservoir monitoring (PRM) system was installed in 2014. By today seven PRM acquisitions have been completed. The data that is used in this study includes both 3D and 4D seismic data, production logging tool data (PLTs), pressure data and production history data. A cross-disciplinary history matching...

... data in use. In contrast, correlation-based localization not only works well to prevent ensemble collapse, and also renders good history matching results. machine learning Artificial Intelligence history matching Upstream Oil & Gas data mismatch model variable seismic data localization...

... Abstract In this work we propose an ensemble 4D seismic history matching framework for reservoir characterization. Compared to similar existing frameworks in reservoir engineering community, the proposed one consists of some relatively new ingredients, in terms of the type of seismic data...

... promising data assimilation techniques employed in the industry is the ensemble Kalman filter (EnKF) because of its ability to deal with non-linear models at reasonable computational cost. In this paper we study the use of crosswell seismic data as an alternative to 4D seismic surveys in areas where...