Automatic Simulation Data Update: A New Innovative Way to Expedite Historical Data Extension for Models

Abstract

\n Historical data in reservoir simulation models becomes outdated with time and the gap between the latest history matched model and the current situation increases. Time is essential, especially with escalated numbers of simulation models. Therefore, updating models in a frequent manner requires a new approach to maximize human resources and deliver timely answers. Engineers must also ensure that the existing quality checked input is secured and that data integrity is maintained during updates.\n In the conventional method of updating simulation model data, engineers go through several steps to acquire new data from corporate databases and fill the extended missing periods. This procedure involves interacting with many applications, which is very time-consuming. To expedite this process, a new methodology is applied that automates each of the single interactions together in a one-step procedure. A smart in-house tool connected to the corporate database extracts all necessary data and generates consistent inputs, including rates, pressures and well completions as data is developed. The tool then incorporates the new data into the existing simulation model s data input.\n The smart automation tool shows the positive impact of the one-step methodology in the updating process. As an example, the new tool was tested on a mega-field, where a vast number of wells were perfectly updated and extended to the current simulation date. The updating time was drastically reduced using the indroduced process and engineers were able to keep their existing files. In addition, the smart automation tool was able to connect to the corresponding geological model seamlessly to generate the specified perforation data after incorporating all trajectory and completion data automatically.\n This paper illustrates that the automation of the updating process is essential to increasing workflow efficiency. The opportunity for fast and frequent simulation model updates leads to a better understanding of reservoir behavior and improves forecasting.