oa Improving Quality of Simulation Modeling Using Assisted History Matching Workflows – A Case Study of Zubair Formation

In order to obtain a reliable dynamic model, a typical history matching process involves minimizing the difference between measured data and simulated value. In a conventional history matching process, uncertain parameters that are considered to have significant impact on the solution space of the model are manually perturbed in order to minimize the difference. This method is widely used in the industry as it gives the engineers the flexibility to vary parameters based on their judgement and experience. However due to multidimensional nature of the problems in reservoir simulation, manually spanning the range of uncertainty simultaneously becomes unmanageable. Thus Assisted History Matching (AHM) methods are being employed to partially “automate” the process.