MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202621098931 A) filed by Dr. D. Y. Patil Institute Of Technology, Pimpri, Pune -; and Dnyaan Prasad Global University, School Of Technology And Research, Pimpri, Pune - on August 16, 2026, for Ai-Based Conversion Of Seismic Signals Into Seismogram Images.
Inventors include Prof. Aditya Nandgirwar; Vedika Chavan; Shreya Gaikwad; and Srushti Jadahva.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: Seismic signals play a vital role in understanding the Earth’s subsurface structure and are widely used in earthquake detection, geological exploration, and disaster management. Traditional methods of seismic signal analysis rely heavily on manual interpretation and classical signal processing techniques such as Fourier Transform and wavelet analysis. These approaches are often time-consuming, computationally intensive, and prone to human error, especially when dealing with large-scale and noisy datasets. The motivation behind this project is to develop an intelligent and automated system that can efficiently process seismic time-series data and convert it into meaningful visual representations in the form of seismogram images. With the rapid advancement in Artificial Intelligence and deep learning, there is a strong need to integrate these technologies into seismic data analysis to improve accuracy, speed, and scalability. This project proposes an AI-based framework that utilizes Convolutional Neural Net works (CNNs) and Generative Adversarial Networks (GANs) to transform raw seis mic signals into high-quality seismogram images. The system performs preprocessing steps such as noise filtering and normalization, followed by feature extraction to cap ture important signal characteristics like amplitude, frequency, and phase. The CNN model learns patterns from seismic data, while the GAN enhances the visual quality and realism of the generated images.
Disclaimer: Curated by HT Syndication.
