ThinkOnward’s Post

Transform Chaos into Clarity! Dive into our latest competition with a prize pool of $20K! We're looking for sharp minds to denoise 3D seismic volumes and reveal hidden geological features. If you have what it takes for precision and efficiency in data processing, this is your call! Learn more here: https://hubs.la/Q02DWxS60 #ComputerVision #NoiseRemoval #SeismicChallenge #DataScience

PAGravf4.5 is always free and open. www.zcyphygeodesy.com/en/ PAGravf4.5 sets up the scientific gravity field approach system with the spatial domain integration algorithms based on boundary value theory and the spectral domain radial basis function approach algorithms to realize the all-element analytical modelling on gravity field in whole space on or outside the geoid from various heterogeneous observations in the different altitudes, cross-distribution and land-sea coexisting cases.

The seismic landscape of Italy and its neighborhood is a testament to the dynamic forces that shape our planet. My latest map reveals over 16,000 earthquakes with magnitudes exceeding 2.5, occurring from 1923 to 2023, offering a window into the region’s geological activity. Can you identify the most seismically active areas? Grasping these seismic patterns is crucial for fostering resilience in the face of natural disasters. For those captivated by geospatial data and eager to visualize such intricate patterns, my tutorial provides the perfect starting point. Discover how to harness the power of R programming and data visualization to bring these seismic insights to life. Access my comprehensive guide here: https://lnkd.in/efMWszzH #EarthquakeAwareness #Italy #GeospatialAnalysis #rstats #DataVisualization

Another interesting land seismic data example! Note how the wavelet from a 50-feet depth source is very different from that at 100 feet and 5 feet. This shows how the thin near surface has a big impact on the data. A vibrator will have a bigger effect from the near surface. Understanding this helps acquisition and processing. More information is in my free SEG Distinguished Lecture, May 23: https://lnkd.in/gZU5zkXz

Fourier transform is a mathematical beauty that has a pivotal role in seismic wave travel time analysis. The Fourier decomposition plays a crucial role in differentiating s and p waves. Understanding the importance of Fourier transform is essential to describe seismic wave travel time analysis. #FourierTransform #Mathematics #SeismicWave #TravelTimeAnalysis video ref: ##https://lnkd.in/e6s7N5vx

A raster plot approach for time-series can yield multiple patterns. Here is a physical oceanographic example of 1-minute interval tide levels for the 2016 year (526,099 individual points). Sloping blue lines are tied to the Moon's orbit. Solar influence seen by red regions after sunrise and sunset (line shift from summer time change). Compare this to the Excel graph. Both have the same data but the Surfer plot, from Golden Software, has much more information.

Learn how Scalable Earth Modeling, a DecisionSpace® 365 application helps deliver a gridless approach to modeling, providing results that can be visualized and analyzed at multiple scales and resolutions. Meet us at EAGE to learn more >> https://bit.ly/3UsnvD3 #Halliburton #EAGE2024 #DecisionSpace365 #ScalableEarthModeling

What is a gridless models? How can I derive sub-models at varying scales and resolutions from a single base model, ensuring the preservation of statistical properties and trends (consistency)? Meet us at EAGE 2024.

🌍 Exciting News in Statistical Seismology! 🌍 I'm thrilled to share that our latest research paper, "Assessing the Predictive Power of GPS‐Based Ground Deformation Data for Aftershock Forecasting," has been published in the Seismological Research Letters special issue on statistical seismology. In our study, we explored a novel machine learning approach to forecast aftershock locations using ground surface deformation data from GPS stations recorded on the day of the mainshock. Our findings highlight the potential of this method, despite challenges such as the density of GPS stations and the inherent complexity of the data. Key Highlights: 🔹 Innovative use of GPS data for aftershock prediction. 🔹 Demonstrated ability to limit overfitting even with a limited dataset. 🔹 Significant implications for improving aftershock forecasting accuracy. I’m incredibly proud of the collaborative effort that made this research possible. A huge thank you to Vincenzo Maria Schimmenti for his outstanding work, as well as to Alberto Rosso and Francois P. Landes for their invaluable contributions. Read the full paper here: https://lnkd.in/gRBtUqbh #Seismology #EarthquakeResearch #MachineLearning #AftershockForecasting #GPSData #Research #Science

🛰 A single satellite image can cover thousands of square kilometers. That's a lot of data to interpret! Thankfully, cutting-edge online platforms (say, EOSDA LandViewer) and human expertise are teaming up to unlock the secrets hidden in these cosmic snapshots. From crop monitoring to disaster response, satellite imagery interpretation reveals previously unseen patterns. Curious about how it all works? Head to our blog for an insider's look at the tools and tricks used to interpret views from above: https://bit.ly/3MvcHAD