Traditional analytical algorithms, such as Coherence, often fall short in complex geological settings and struggle to manage the massive routine workload involved in seismic fault interpretation. These methods can be time-consuming, subjective, and may overlook subtle or complex fault structures that are critical for accurate subsurface modeling.

In this webinar, you will learn how Deep Convolutional Neural Networks (DCNN) integrated within Geoplat AI offer a transformative solution by automating and accelerating the process of seismic structural interpretation. This cutting-edge AI technology significantly reduces human bias and manual errors, enabling faster, more consistent, and highly accurate fault detection even in the most challenging geological environments.

Our team of experts will guide you through the entire workflow, including pre-training 3D geological models on carefully tailored datasets designed to capture diverse fault characteristics. We will demonstrate the performance of our model on real-world case studies where Geoplat AI-driven techniques have not only improved interpretation accuracy and enhanced structural insights but also optimized interpretation outcomes through automatic fault extraction.

Join us to explore the future of seismic interpretation — where artificial intelligence meets geological expertise for smarter, faster, and more confident fault detection. Don’t miss the chance to elevate your interpretation skills and stay ahead in the rapidly evolving field of geosciences.