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Geoplat AI 25.03 enables the conditioning of original seismic data using machine learning methods. The algorithm, like other our conditioning techniques, was trained on synthetic data. However, a distinctive feature here is the utilization of data with varying frequencies.

Geoplat AI 25.03 geoscience crack

This trained neural network is capable of enhancing the resolution of seismic data, enabling a more detailed observation of thin layers. These thin layers become more pronounced through this conditioning, resulting in a more detailed representation of the structural characteristics of the surveyed area.

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Российская компания «ГридПоинт Дайнамикс» – одна из ведущих компаний по разработке и технической поддержке программного обеспечения в области поиска, разведки и разработки месторождений нефти и газа. Основным продуктом компании является программная платформа Geoplat Pro, которая направлена на комплексное решение сразу нескольких задач: «сейсмическая интерпретация – геологическое моделирование – гидродинамическое моделирование».

Geoplat AI Software Introduction
Overview Geoplat AI is an AI-based integrated geoscience software platform that applies advanced machine learning technology to seismic data processing and geological interpretation. The platform is designed to streamline workflows for geoscientists and deliver faster, more accurate predictions for complex geological tasks.
Geoplat AI 25.03 Key Capabilities
Geoplat AI 25.03 Seismic Data Conditioning
Structure-Oriented Conditioning: Uses convolutional neural networks trained on hundreds of thousands of synthetic datasets to improve seismic image quality, enhance signal-to-noise ratio, and preserve vertical resolution
Mean Seismic Conditioning: Suppresses incoherent noise and enhances visibility of fault zones and geological structures
High-Resolution Conditioning: Enhances seismic data resolution to enable detailed observation of thin stratigraphic layers