Tatweer Petroleum Services ’s Post

Heavy Oil Pre-Steam and Steam Injection Mathematical Petrophysical Models #Python #PetrophysicalModel #HeavyOil #OilSands #RockPhysics #Petrophysicist #Geologist #FluidReplacement #Gasssmann #TimeLapse

Discover the secrets of the Earth with Python! Just released a beginner’s guide on using geochemical analysis for mineral exploration. Dive in to see how data science transforms our understanding of geology! #Geochemistry #Python #DataScience #MineralExploration

If you are interested in machine learning & drilling data, you can join the free webinar with the topic of "Machine Learning Application for Drilling Engineering Using Python" on 23rd of January 2025. You can register by following the link in the shared post. Petroleum Engineers Association #drilling #Python #MachineLearning #DrillingEngineering #Digitalization #Automation

Machine learning application DomainMCF and fault modelling tools in GeologyCore helped GMEK to develop a realistic geological model for a complex gold deposit. The software was critical to solving the challenging dataset that included uneven sample intervals, gaps in data and potential contamination from previous workings https://loom.ly/LUF3iMg #Maptek #MachineLearning #CreateTomorrow

Harness the power of Python for 3D geophysical inversion! From gravity and magnetic to resistivity, IP, EM, and seismic inversion, open-source tools offer incredible potential for subsurface modeling and exploration. Transform your geophysical data into actionable insights. #Geophysics #Python #OpenSource #DataScience #Inversion #SubsurfaceModeling #Exploration

👉 Free live workshop on Machine Learning in Drilling Engineering with Dr. Behzad Elahifar! Date: January 23, 2025 Where: Online Learn how Digitalization, AI, and ML are transforming the Drilling industry with hands-on Python apllications. #Digitalization #MachineLearning ##DrillingEngineering #FreeWorkshop

No smoke, no mirrors, just the future of seamless collaboration - while perhaps the hype of GenAI is well underway, we’re focused on the real challenge—bringing geophysics, geology, reservoir and production engineering even closer. #FFGT 💙💚 At #tNavigator, we know AI and GenAI have a role to play, and we're actively planning how to best incorporate these technologies in ways that truly add value. Our priority is delivering real-world impact, not flashy promises. Version 24.3 is almost here, and it’s set to revolutionise subsurface management with the only software that truly and seamlessly integrates all disciplines, with Python and custom code access for those who want to take workflow customisation to the next level. 📸 The picture? That’s Marcus Duffy celebrating our next journey into integrated geophysics and geology with a more parallelised approach using #tNavigator. #MakingThingsHappen

Great opportunity to learn how Machine Learning can be applied to Drilling Data🚀📢 FREE webinar will be presented by Dr.Behzad Elahifar, associated professor at NTNU University ,with the topic of "Machine Learning Application for Drilling Engineering Using Python" on 23rd of January 2025. 📣💡 You can register by following the link in the shared post.🚀🤩

After three weeks of dedicated work and debugging on this application, now you can create geological models online with Gempy. Know more on this tutorial: Basic tutorial of online geological modeling with Gempy in AquiferApp Give it a like! https://lnkd.in/eRVzh6im

Thrilled to announce the publication of our latest open-access publication in the journal Ore Geology Reviews! Collaborating with Ahmed Morad Eleish (Carnegie Science & Rensselaer Polytechnic Institute), Shaunna Morrison (Carnegie Science & Rutgers University), and Jens Klump (CSIRO) on this project has been a fantastic journey. Together, we've introduced a new geological interpolation method and developed a powerful Python package, IRWPy, to bring it to life. ✨ Flashback to a few years ago, when I was deep into developing anomaly classification methods. With Eric Grunsky's insightful advice, I shifted from passive geological interpretations to actively integrating geological features into models. That shift paved the way for what we’re now presenting: the Inverse Radius Weighting (#IRW) interpolation method, a technique that thoughtfully incorporates topography. 🔍 This method isn't just for exploration geochemistry—it's also highly applicable for urban and environmental geochemistry, and any project where contamination, mobility, transportation, and such features are crucial. UNSW Fulbright Australia #interpolation #number_of_neighbors #MonteCarloSimulation #error #uncertainty #topography #datascience #python #geochemistry #InverseRadiusWeighting #MeanAbsoluteError (#MAE) and #RootMeanSquareError (#RMSE) Dive into our work and explore the possibilities: