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.

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Categories

Reservoir Modeling, Deep Learning, Long Short-Term Memory Network, Surrogate Modeling

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