ThinkOnward’s Post

Check out this #Tecplot360 simulation showing a real-time Northeast Coastal Ocean forecast! With Tecplot, you can analyze large datasets, utilize georeferenced images, and visualize your data on the fly. Our team will be attending AGU this December. If you'd like to learn more about how Tecplot can optimize visualization for geoscience applications, let's connect! Learn more: https://bit.ly/3FFV5i1 #geoscience #oceanmodels #oceanforecasting #oceanprediction #cfd

Uncover Subsurface Secrets with Your Skills The Image Impeccable: Journey to Clarity challenge awaits your solution! With $20K on the line, use your prowess in computer vision to filter out noise from seismic data and illuminate what lies below. Check it out here: https://hubs.la/Q02Gv2jK0 #ComputerVision #NoiseRemoval #SeismicChallenge #DataScience

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

Three new data science challenges are now live on the Onward platform! Unbreak my Seismic and Reflection Connection are parts 3 and 4 of the Encoded Reality Series of challenges that puts >$100k of prizes up for grabs for the best computer vision and geophysics solutions. And as a seasonal surprise, we've launched a challenge titled, The Energy-Efficient Ghosts of Holiday Past. For this challenge, you'll assist Scrooge in determining the most cost-effective time to use electricity for his holiday celebration. If time-series problems are your specialty, you will want to take advantage of this challenge! Get started on these challenges today: https://hubs.la/Q02dxGCB0 #ThinkOnward #EnergyInnovation #EnergyTransition #DataScience

💙 I'm delighted to share, GEOVIA has partnered with AusIMM to deliver an insightful webinar for you. Explore how to apply machine learning algorithms in resource modelling to enhance model accuracy, improve orebody knowledge, and understanding of the controls on mineralization, with Dr. Min LIANG. 🚀 Dr. LIANG will start with a general introduction of machine learning algorithms, then present applications of machine learning in resource modeling, she will then showcase a case study of using geophysical data to improve resource estimation and reduce the core hole drilling, and another case study of optimizing mineral domain by geospatial clustering. ✅ Sign up - http://3ds.one/ck #GEOVIA #Webinar #MiningIndustry #MachineLearning #ResourceModelling

💙 I'm delighted to share, GEOVIA has partnered with AusIMM to deliver an insightful webinar for you. Explore how to apply machine learning algorithms in resource modelling to enhance model accuracy, improve orebody knowledge, and understanding of the controls on mineralization, with Dr. Min LIANG. 🚀 Dr. LIANG will start with a general introduction of machine learning algorithms, then present applications of machine learning in resource modeling, she will then showcase a case study of using geophysical data to improve resource estimation and reduce the core hole drilling, and another case study of optimizing mineral domain by geospatial clustering. ✅ Sign up - http://3ds.one/ck #GEOVIA #Webinar #MiningIndustry #MachineLearning #ResourceModelling

💙 I'm delighted to share, GEOVIA has partnered with AusIMM to deliver an insightful webinar for you. Explore how to apply machine learning algorithms in resource modelling to enhance model accuracy, improve orebody knowledge, and understanding of the controls on mineralization, with Dr. Min LIANG. 🚀 Dr. LIANG will start with a general introduction of machine learning algorithms, then present applications of machine learning in resource modeling, she will then showcase a case study of using geophysical data to improve resource estimation and reduce the core hole drilling, and another case study of optimizing mineral domain by geospatial clustering. ✅ Sign up - http://3ds.one/ck #GEOVIA #Webinar #MiningIndustry #MachineLearning #ResourceModelling

💙 I'm delighted to share, GEOVIA has partnered with AusIMM to deliver an insightful webinar for you. Explore how to apply machine learning algorithms in resource modelling to enhance model accuracy, improve orebody knowledge, and understanding of the controls on mineralization, with Dr. Min LIANG. 🚀 Dr. LIANG will start with a general introduction of machine learning algorithms, then present applications of machine learning in resource modeling, she will then showcase a case study of using geophysical data to improve resource estimation and reduce the core hole drilling, and another case study of optimizing mineral domain by geospatial clustering. ✅ Sign up - http://3ds.one/ck #GEOVIA #Webinar #MiningIndustry #MachineLearning #ResourceModelling

Learn how the leveraging of sparse node data, through an #interferometry approach and the use of elastic FWI, can enhance streamer seismic imaging in our article in the latest edition of EAGE (European Association of Geoscientists and Engineers) First Break. Download the PDF: https://lnkd.in/e9QxQnKm

Calculate this. Any other math fans out there? We've jut happened upon our newest favorite equation: 111,111,111 x 111,111,111 = 12,345,678,987,654,321 Didn't see that product coming? Go figure. Other important data: 25+. Please know that there are dozens of ways that we can help your team with field services. Want to know more? Visit Geotechnics.net. #Geotechnics #Tested