New generation of Well-based SRM established on streamline database.
Published: 10 May 2023| Version 1 | DOI: 10.17632/wpc3ph8hrv.1
Contributors:
Behzad Saberali,
,
Description
This data batch consists of several items as follows: - The code extracts grid data from the restart output file of FrontSim software (unified, formatted file with FUNRST Suffix). The function takes two parameters: the file location and the required Keyword. (for example, SWAT, which means grid water saturation). - The main code of the introduced Well_based SRM. - The jpg file illustrates the training process. - Tree statistic criteria (AARD, ARD, R2) - Excel files containing tabular results. - txt data files containing statistics Note: The main program needs several sub-codes and functions for the application, so it can not be run independently. But the SRM structure and features can be reused from this source.
Files
Categories
Reservoir Modeling, Deep Learning, Long Short-Term Memory Network, Surrogate Modeling