Intellegens’ Post

🌊💻 metocean-api is an #opensource #Python tool designed to: • extract time series 📈 of #metocean data from various sources, such as global 🌍, regional, and coastal 🏖️ hindcasts and reanalysis. • save 💾 data in CSV format or NetCDF for further analysis and usage 📊 Available datasets in metocean-api: ✓ NORA3 (North Atlantic atmospheric, wave, and storm surge data), ✓ ERA5 (Global wind and wave data), ✓ NORKYST (ocean currents along the Norwegian coast) ✓ NORAC (coastal wave data for Central Norway using an unstructured grid). ✓ ECHOWAVE 🆕, a coastal wave🌊 hindcast for North Atlantic areas, developed by Marine Renewable Energies Lab (MREL), Delft University of Technology. Dataset: https://lnkd.in/dHbUms_u For installation and information about the available datasets in metocean-api see: https://lnkd.in/dqPfYP97 #SFIBlues Lasse Bjermeland Birgitte R.

T-minus 6 days until SeerAI gets to debut our new software feature at #EsriUC! But in other exciting news... 🚀 ExxonMobil engineers Richard Alois and Brian Wala will be presenting how SeerAI has revolutionized their pipeline monitoring initiatives. Stay tuned for the exact date and time! 📍 Visit booth 212 for a unique opportunity to network and uncover your next business breakthrough. 💡 Follow us to stay updated. #exxon #exxonmobil #png #lng #datafusion #geospatial #geospatialdata #ai #geoint #python #arcgis #arcpro #esri #esriuc #data #dataanalysis #spatiotemporal #datamesh #knowledgegraph #jupyter #jupyternotebooks #datascience #innovation

Tried to build up my self-initiated project, a Directional Drilling Well Profile/Trajectory Calculator developed using #Python and the #Streamlit library. Directional drilling is a critical technique in the petroleum industry, enabling efficient resource extraction by precisely targeting subsurface locations. Leveraging the directional drilling knowledge from my college curriculum, I have tried to transform the theoretical concepts into a practical, industry-relevant tool and #Streamlit offers a phenomenal interface for deploying such applications. This web-based tool allows to visualize the trajectories of various directional well profiles and display different parameters at any point/measured depth on the drill path. As I embark on my journey to learn the use of data science and machine learning in the petroleum field, i see this project as an important milestone in my learning path. I am eager to share a brief screencast demonstrating the functionality of the software and would greatly appreciate your feedback and insights that will be invaluable as I continue to develop my skills and knowledge in this dynamic field!. Link to the application: https://lnkd.in/g5hQdAWh #datascientist #oilandgas #machinelearning #streamlit #drilling

Do you also wonder what are the specs of the "partially assembled" Raptor 3? With my open-source tool, RocketCycles, you can make a pretty good estimate. For example, to increase combustion chamber pressure from 300 bar to 350 bar, SpaceX engineers had to *probably* ramp up fuel pump pressure to insane 900 (!) bar. I have just added a number of new features to RocketCycles, like Oxygen Rich Staged Combustion and Closed Catalyst cycles or support for RP-1. There are examples too. ORSC has a PropaLOX engine with performance similar to Raptor - a choice driven by the popularity of the BBQ gas for rocket engines among European companies like Isar or Orbex, as well as lack of MN class ORSC LREs on our continent. Meanwhile, Closed Catalyst has an example that attempts to model Ursa Major' Draper engine utilizing H2O2, the next green storable propellant. It offers a very simple closed cycle, and with the vacuum Isp of ~310 seconds, it offers an interesting alternative to kerolox open cycles. You can find the library here: https://lnkd.in/drE6svMK

📢 Discover #ESTECO latest enhancements 𝟮𝟬𝟮𝟰𝗥𝟮! The latest release of #VOLTA and #modeFRONTIER is now accessible. Learn more about the new features 👇

📢 Discover #ESTECO latest enhancements 𝟮𝟬𝟮𝟰𝗥𝟮! The latest release of #VOLTA and #modeFRONTIER is now accessible. Learn more about the new features 👇

📢 Discover #ESTECO latest enhancements 𝟮𝟬𝟮𝟰𝗥𝟮! The latest release of #VOLTA and #modeFRONTIER is now accessible. Learn more about the new features 👇

🚀 Project Showcase: Reservoir Characterization for Oil & Gas Exploration 🌍⛽ I'm thrilled to share my latest project, where I dove deep into the fascinating world of Reservoir Characterization! This project leverages machine learning and data analysis to classify geological formations (facies) and predict reservoir properties, a critical step in optimizing exploration and production in the oil and gas industry. 🌟 Project Highlights: 📊 Data Analysis: Preprocessed well log data to uncover insights from subsurface formations. 🧠 Machine Learning: Built a classification model to accurately predict facies, helping identify potential hydrocarbon-rich zones. 🔍 Reservoir Insights: Focused on understanding geological patterns and reducing misclassification risks for real-world applications. 💻 Tools & Techniques: Python, Pandas, Seaborn, and Matplotlib were key to creating this solution. 📂 Check out the project on my GitHub: https://lnkd.in/gVb5m-mq 📊 Explore my portfolio for more projects: https://lnkd.in/gXnru3s4 I’m excited to hear your thoughts and feedback! #MachineLearning #OilAndGas #DataScience #Python #ReservoirCharacterization

In this video, Leo provide a detailed solution to the popular LeetCode problem #23: Merge k Sorted Lists, using Java. https://lnkd.in/eC7Nxx3G

I'm happy to announce that the code for calibrating our new PV temperature model, presented at EUPVSEC 2024 in the paper titled "A Data-Driven Calibration of the FEM Temperature Model with Wind Direction Input", is now available on GitLab! Check it out here:  https://lnkd.in/dQijmQ-m You can easily copy and run the Python notebook on your own data to explore the model's performance. We’d love to hear your feedback—please share your results and let us know how accurate the model is with your dataset! #DataScience #PVModeling #RenewableEnergy #Python #EUPVSEC2024