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  1. ResSimpy is a Python API for automating reservoir simulation workflows, allowing the user to read, manipulate and write reservoir simulation input decks.

  2. ReservoirPy is a simple user-friendly library based on Python scientific modules. It provides a flexible interface to implement efficient Reservoir Computing (RC) architectures with a particular focus on Echo State Networks (ESN).

  3. Local upscaling with fixed pressure boundary conditions; Fine grid and Coarse grid generation for structured TPFA simulations. It is built on top of Python, and uses the ELLIPTIc library to handle the internal mesh data structure, and matrix solving.

  4. pypi.org › project › ResSimpyResSimpy - PyPI

    31 Οκτ 2024 · ResSimpy is a Python API for automating reservoir simulation workflows, allowing the user to read, manipulate and write reservoir simulation input decks. Whilst it was created by staff at BP, we welcome contributions from anybody interested, whether it is by raising pull requests, or simply suggesting features / raising bugs in the GitHub issues .

  5. 20 Οκτ 2021 · Part I covers basic input/output operations and key components of reservoir models. Part II explains how make data ready to use in Pytorch. Today we will study how to calculate production rates...

  6. 26 Ιουλ 2021 · Step-by-step we will proceed from simple questions on how to read and save data to how to train a neural network model to simulate reservoir dynamics and perform reservoir adaptation...

  7. 5 Απρ 2024 · I tested this idea and developed PyMRST, a simulator that can run compressible and incompressible simulations on heterogeneous reservoir models.