How to optimize numbers of variables for Assisting History Match Project

When do we have to deal with large and complex reservoir, the employment of assisting history match technology” AHM” become very essential to boost dynamic model quality and representation without local adjustment, however most the AHM tools are preferring to use limited numbers of variables to reduce total numbers of the require runs before achieved acceptable results.

So, in case of existing dynamic model with multi millions grid cells; how can we define the optimum variables to accelerate tweaking the model to improve history match!! Therefore; in order to overcome the problem in practical matter to reduce numbers of the variables that needs to regulate them, I would recommend the following steps:

(A)   To create “Well_Region_Body” as integer parameter value per each well based on well spacing distance between the wells and RRT’s, and then to expert this parameter to dynamic models as “MULTNUM”.

(B)   To create “Layer_Interval” as integer parameter value per each dynamic layer and to expert this parameter to dynamic models as “OPERNUM”

Those two elements shall assist you basically to modify all the grid cells that are located in each of them in different way laterally and vertically in very simple perception with large effects on objective function “OF”. In additional to those 3D integer parameters, you can add minimum permeability value to create cells connectivity’s, global permeability multiplier adjustment, and maximum overall permeability cap value.

The below script can be used with Eclipse, Intersect and tNavigator simulators