The Open Lab Module is aimed at publishing software development challenges and opportunities in a collaborative approach, based on the availability of source codes and data by Petrobras on GitHub, a global platform for hosting open-source projects.
Anyone with development expertise can collaborate with the codes published in the oil and gas area. Access Petrobras on GitHub and learn about the Open Lab Module opportunities.
Connections for Innovation | Module Open Lab | Petrobras | Technology and Inovation
Module Open Lab
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Module Open Lab
target audience
Developers, engineers, data scientists and other technology professionals, as well as startups and science and technology institutions from around the world.
challenges
Challenges in the oil, gas and energy sector with potential from collaborative software development, from data and open-source codes.
opportunities
Access open-source projects published by Petrobras on GitHub focused on solving O&G industry challenges.
benefits
Contribute to global challenges in the oil and gas industry, competitively entering the sector.
Share knowledge and learn with people around the world in a “hands on” approach
Gain access to strategic industry data that can result in the development of high-impact solutions
Work collaboratively and agilely to solve critical industry challenges that can lead to disruption.
Opportunities
Open Opportunities
3w
It promotes the experimentation of Machine Learning based approaches and algorithms for specific problems related to undesirable events that occur in offshore oil wells.
WPRAutoencoders
It contains a well pressure response generator, a dataset of 20,000 synthetic pressure responses, and an autocoder neural network capable of clustering this data based on transmissibility and reservoir geometry.
Petrobras on Github
Access Petrobras on GitHub and learn about the Open Lab Module opportunities.
ROSS
ROSS is a Python library for rotordynamic analysis, enabling the construction of rotor models and their numerical simulation. The shaft elements are modeled using Timoshenko beam theory, which considers shear and rotational inertia effects, and discretized using the Finite Element Method. The tool allows for rotor geometry visualization and the execution of simulations such as static analysis, modal analysis, undamped critical speed, frequency response, unbalance response, time response, and more.
CCP
CCP is a python library for calculation of centrifugal compressor performance. It uses CoolProp/REFPROP for the gas properties calculations.
Frequently Asked Questions
How to collaborate with available source codes?