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Related Articles from SNS
Kansas boy discovers 15-foot marine reptile fossil from 85 million years ago during geology field trip
A Kansas boy searching for fossils during a geology club field trip stumbled onto something far bigger than expected: the remains of a 15-foot-long marine reptile that swam an ancient sea 85 million years ago. Corbin Bullard was just 11 years old when he spotted several large vertebrae protruding from rock at a quarry near his hometown of Clearwater, Kansas, during a September 2025 outing with the Sedgwick County 4-H Geology Club."I didn't know what it was, but I knew that it was something...
GeoVolDiff: Taming 3D Geological Volumes with Latent Diffusion
arXiv:2606.03572v1 Announce Type: new Abstract: Deep learning has become a prevailing paradigm across a wide range of geophysical applications. Yet most existing studies concentrate on methodological refinements -- novel network architectures, physics-informed constraints, or taskspecific loss functions -- while paying comparatively little attention to a more fundamental challenge of any data-driven approach: the availability and representativeness of high-quality training data. This...
A Comparative Study of Deep Learning Models for Geological Carbon Sequestration
Announce Type: new Abstract: Numerical reservoir simulations are extremely computationally expensive, as they require the repeated solution of large nonlinear algebraic systems derived from the discretized governing equations. With growing demand for real-time optimization, uncertainty quantification, and history matching in digital twin applications, reducing computational cost has become essential. Deep learning (DL)--based surrogate models have emerged as an effective approach for...
SubsurfaceGen: Procedural Generation of Field-Scale Earth Models and Seismic Data
arXiv:2605.30541v1 Announce Type: new Abstract: Full waveform inversion (FWI) is the gold standard for subsurface imaging, with applications from carbon sequestration to energy and mineral exploration to earthquake hazard assessment. Machine learning approaches to FWI need field-scale, geologically diverse, and physically realistic training data, but existing resources such as Marmousi, SEAM, and OpenFWI fall short on spatial extent, temporal extent, geological diversity, and physical...
SubsurfaceGen: Procedural Generation of Field-Scale Earth Models and Seismic Data
arXiv:2605.30541v1 Announce Type: cross Abstract: Full waveform inversion (FWI) is the gold standard for subsurface imaging, with applications from carbon sequestration to energy and mineral exploration to earthquake hazard assessment. Machine learning approaches to FWI need field-scale, geologically diverse, and physically realistic training data, but existing resources such as Marmousi, SEAM, and OpenFWI fall short on spatial extent, temporal extent, geological diversity, and physical...
Scientists discover giant, fan-shaped structure deep beneath the East Antarctic Ice Sheet
Scientists discover giant, fan-shaped structure deep beneath the East Antarctic Ice Sheet A mysterious geological structure that resembles a human hand with outstretched fingers has been revealed beneath East Antarctica. The discovery shows the frozen continent still hides many geological secrets. Scientists have discovered a giant, fan-shaped structure that connects several well-known basins deep beneath the East Antarctic Ice Sheet — and it may have formed in the breakup of the ancient...
Learning and Inferring Multiphase Flow Dynamics in Porous Media using Scientific Machine Learning: Application to the "FluidFlower" CO2 Injection Experiment
arXiv:2606.05448v1 Announce Type: new Abstract: Accurate prediction and parameter identification of multiphase flow in porous media remain central challenges in geological carbon dioxide storage due to strong nonlinearities, high-dimensional parameter spaces, and limited observational data. We present a machine learning framework that integrates surrogate modeling and Bayesian inference to enable efficient forward prediction and inverse parameter estimation for CO2-brine flows in geological...
Learning and Inferring Multiphase Flow Dynamics in Porous Media using Scientific Machine Learning: Application to the "FluidFlower" CO2 Injection Experiment
Announce Type: replace Abstract: Accurate prediction and parameter identification of multiphase flow in porous media remain central challenges in geological carbon dioxide storage due to strong nonlinearities, high-dimensional parameter spaces, and limited observational data. We present a machine learning framework that integrates surrogate modeling and Bayesian inference to enable efficient forward prediction and inverse parameter estimation for CO2-brine flows in geological media. The...
Implicit Structural Modeling via Generative Diffusion Frameworks
Announce Type: new Abstract: Implicit structural modeling can support understanding subsurface spatial configurations, revealing patterns of geological evolution, and enabling quantitative simulation of geological processes, thereby offering substantial scientific and engineering value. Conventional approaches formulate it as an optimization problem or framework interpolation to fit a continuous scalar field, whereas machine learning methods typically adopt discriminative regression to...
UK village rocked by earthquake as homes rattled by 'hell of a bang'
UK village rocked by earthquake as homes rattled by 'hell of a bang' The British Geological Survey (BGS) confirmed a 2.2 magnitude tremor hit Silverdale on Saturday night, just weeks after it was struck by a 2.3-magnitude earthquake A UK village has been rocked by a second earthquake in less than a month as locals reported a huge thud that felt like "a distant explosion". The 2.2 magnitude tremor hit Silverdale, Lancashire, at 9.35pm on Saturday night, according to the British Geological...