About the job
**About the Role:** We are seeking a skilled Machine Learning Engineer to develop and deploy Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations for oil and gas pipeline and well networks. This is a hands-on role for someone who can build high-fidelity neural network models that replace computationally expensive reservoir and network simulators. **Key Responsibilities:** - Design and implement Neural Network architectures to model flow dynamics in interconnected pipeline networks. - Build surrogate models that accurately predict pressure distributions, flow rates, and network behavior under varying operational scenarios. ...
Requirements
- Machine Learning
- Graph Neural Networks
- Neural Networks
- Python
Preferred Technologies
- Machine Learning
- Graph Neural Networks
- Neural Networks
- Python
About the company
beBeeMachineLearning is a company focused on harnessing machine learning technology to solve complex problems across various domains. They aim to develop innovative solutions and leverage advanced algorithms in their projects.
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