Seismic data are an important source of information to guide and constrain reservoir modeling as it samples the subsurface in 3D away from wells. Seismic interpretations are used to constrain the structure of reservoir models. Different seismic attributes can support the identification and definition of stratigraphic features, and seismic inversion products can help constrain the rock properties. Different methods exist for integration of seismic data in the modeling process. Here, we present two new methods. The first method constrains facies definition and modeling with seismic data through a geobody earth modeling approach. The second method updates existing facies models with new seismic data using a Bayesian approach. Both methods are applied to a case study with good quality seismic data. The results show that the reservoir model becomes more consistent with the observed field seismic data when these fast and repeatable methods are applied (compared to not integrating seismic constraints or using time-intensive manual integration approaches), thus enabling more robust reservoir models and forecasts.