Fast Evaluation of Reservoir Connectivity via a New Deep Learning Approach: Attention-Based Graph Neural Network for Fusion Model
Tariq Saihood,
Ahmed Saihood,
Mohamed Adel Al-Shaher
et al.
Abstract:The goal is to estimate the injector-to-producer connectivity from injection-production history data by implementing an attention-based graph neural network for fusion model (AGFM). The AGFM can identify the complex relationships between the injectors and producers, ensuring the spatially dense estimated injector-to-producer connectivity. The model is trained and tested on a dataset containing two types of injecting fluids: carbon dioxide (CO2) and water. The AGFM model correlates the relationships between eve… Show more
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