Abstract: A method may include obtaining model data for a reservoir region of interest. The model data may include flow property data based on streamlines. The method may further include generating a multilevel coarsening mask describing various coarsening levels that correspond to different flow values among the flow property data. The method may further include generating a coarsened grid model using the model data and the multilevel coarsening mask. The method may further include performing a reservoir simulation of the reservoir region of interest using the coarsened grid model.

Abstract: A method may include generating three-dimensional (3D) reservoir simulation data regarding a subsurface formation. The 3D reservoir simulation data may correspond to a plurality of reservoir properties at a predetermined timestep within a reservoir simulation. The method may include generating a 3D pixel dataset using the 3D reservoir simulation data. Each pixel of the 3D pixel dataset may be determined based on a plurality of reservoir property values. Each pixel of the 3D pixel dataset may include a red value, a green value, and a blue value that corresponds to three different reservoir property values out of the plurality of reservoir property values. The method may include generating a two-dimensional (2D) pixel dataset using the 3D pixel dataset. The 2D pixel dataset may correspond to a single video frame within various video frames.

Abstract: A method may include obtaining well activity data regarding various wells in a reservoir region of interest. The method may further include determining a predetermined well assignment for various parallel processing stages using a bin-packing problem algorithm and the well activity data. The predetermined well assignment may assign the wells to the parallel processing stages. A respective parallel processing stage among the parallel processing stages may perform a portion of a reservoir simulation using a respective computer processor and a well among the wells. The method may further include simulating the reservoir region of interest based on the wells being simulated according the predetermined well assignment for the parallel processing stages.

Abstract: A method may include obtaining model data for a reservoir region of interest. The model data may include flow property data based on streamlines. The method may further include generating a multilevel coarsening mask describing various coarsening levels that correspond to different flow values among the flow property data. The method may further include generating a coarsened grid model using the model data and the multilevel coarsening mask. The method may further include performing a reservoir simulation of the reservoir region of interest using the coarsened grid model.

Abstract: A method may include obtaining a property mask based on model data for a reservoir region of interest. The method may further include adjusting a grid region within the property mask to produce an expanded grid region. The method may further include performing an edge smoothing operation to the expanded grid region to produce a smoothed grid region. The method may further include generating a coarsened grid model using the model data, a lookup operation, and an adjusted property mask including the smoothed grid region. The method may further include performing a reservoir simulation of the reservoir region of interest using the coarsened grid model.

Abstract: A method may include generating three-dimensional (3D) reservoir simulation data regarding a subsurface formation. The 3D reservoir simulation data may correspond to a plurality of reservoir properties at a predetermined timestep within a reservoir simulation. The method may include generating a 3D pixel dataset using the 3D reservoir simulation data. Each pixel of the 3D pixel dataset may be determined based on a plurality of reservoir property values. Each pixel of the 3D pixel dataset may include a red value, a green value, and a blue value that corresponds to three different reservoir property values out of the plurality of reservoir property values. The method may include generating a two-dimensional (2D) pixel dataset using the 3D pixel dataset. The 2D pixel dataset may correspond to a single video frame within various video frames.

Abstract: A method may include obtaining well activity data regarding various wells in a reservoir region of interest. The method may further include determining a predetermined well assignment for various parallel processing stages using a bin-packing problem algorithm and the well activity data. The predetermined well assignment may assign the wells to the parallel processing stages. A respective parallel processing stage among the parallel processing stages may perform a portion of a reservoir simulation using a respective computer processor and a well among the wells. The method may further include simulating the reservoir region of interest based on the wells being simulated according the predetermined well assignment for the parallel processing stages.