logo
ResearchBunny Logo
Learning-Based Seismic Velocity Inversion with Synthetic and Field Data

Earth Sciences

Learning-Based Seismic Velocity Inversion with Synthetic and Field Data

S. Farris, R. Clapp, et al.

Discover how deep learning is revolutionizing acoustic subsurface velocity modeling in complex geological regions, as explored by Stuart Farris, Robert Clapp, and Mauricio Araya-Polo. Their groundbreaking study demonstrates the potential of DL techniques to enhance industrial exploration workflows, offering insights that could reshape our understanding of subsurface structures.

00:00
00:00
~3 min • Beginner • English
Citation Metrics
Citations
2
Influential Citations
0
Reference Count
0
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Profiles of learners based on their cognitive and metacognitive learning strategy use: occurrence and relations with gender, intrinsic motivation, and perceived autonomy support
Education

Profiles of learners based on their cognitive and metacognitive learning strategy use: occurrence and relations with gender, intrinsic motivation, and perceived autonomy support

D. Kwarikunda, U. Schiefele, et al.

Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease
Medicine and Health

Population Pharmacokinetic and Exposure–Response Analysis of Finerenone: Insights Based on Phase IIb Data and Simulations to Support Dose Selection for Pivotal Trials in Type 2 Diabetes with Chronic Kidney Disease

N. Snelder, R. Heinig, et al.

Lunar impact crater identification and age estimation with Chang'E data by deep and transfer learning
Space Sciences

Lunar impact crater identification and age estimation with Chang'E data by deep and transfer learning

C. Yang, H. Zhao, et al.

Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms
Engineering and Technology

Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms

M. A. Khan, B. Asad, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny