experiences with automated history matching

Matching the historical performance of a reservoir is a time-consuming exercise with an uncertain outcome. Manual matching is subjective, and quality of the match depends largely on the experience of the team members involved in a study and to the quality and quantity of various input and observed data. This study entailed validating production data and matching single-well and full-field performances by use of two automated-history-matching (AHM) approaches. Results showed that both AHM approaches reduced the time required for a study and preserved the objectivity of a history match.