subsurfaceAI software

interpAI is designed to enhance seismic interpretation productivity without replacing interpreters. interpAI learns from your interpretation experience and enables you to achieve remarkable productivity gains of 20-200 times. With our solution, you can complete large 2-D and 3-D seismic interpretation projects in days instead of months.

The subsurfaceAI for Geophysicists offers a suite of tools for comprehensive 2-D and 3-D seismic interpretation, designed to operate efficiently without relying on high-end graphics hardware. It features an integrated visualization environment with multiple types of 2-D and 3-D windows, supporting fast and interactive quality control. The software encompasses a thorough seismic interpretation workflow ranging from seismic horizon picking, strata-grid construction, and geobody extraction to advanced AVO attribute generation and velocity model building. This solution extends technical functionalities by integrating advanced AI capabilities, enabling geophysicists to perform accurate and consistent analyses. By incorporating machine learning frameworks like IntegrationAI, the software facilitates enhanced reservoir property prediction. Additionally, the package allows for the seamless conversion of time and depth domains and the generation of GeoTiff-format maps. Overall, subsurfaceAI aims to elevate subsurface exploration and optimize the utility of seismic data in the E&P industry.

UnconventionalAI by KzS stands as a pioneering software solution in the realm of unconventional resource development. This tool empowers geophysicists, geologists, and data scientists by providing advanced capabilities tailored to meet the unique challenges of subsurface exploration and production. UnconventionalAI facilitates rapid and efficient 2-D and 3-D seismic interpretation, multi-scale reservoir modeling, and the integration of machine learning for reservoir property predictions. It offers dynamic visualization and real-time monitoring with predictive analytics to ensure precise stimulated reservoir volume (SRV) estimation. The software also allows users to harness microseismic data for analytics and integrate AI-assisted interpretation of core photographs. With a focus on maximizing productivity, it seamlessly integrates well data and seismic attributes to map sweet spots and predict production in unconventional reservoirs. Its comprehensive, robust workflows are designed to optimize exploration and production activities, making it an indispensable asset in geologic modeling and reservoir characterizations.

SubsurfaceAI is a comprehensive software package designed to facilitate rapid and accurate subsurface interpretation in the E&P industry. Leveraging AI technologies, this solution significantly speeds up large-scale 2-D and 3-D seismic interpretation processes, claiming to be more than 20 times faster than traditional methods. It provides unique multi-scale reservoir modeling capabilities that integrate lamina and outcrop scale heterogeneity seamlessly with seismic scale reservoir models. The software also includes machine learning workflows to enhance reservoir property prediction using seismic inversions and well data. For core photo interpretation, SubsurfaceAI employs AI-assisted techniques to generate precise litho-facies, Vshale, porosity, and permeability logs. In addition, it offers advanced data analytics for microseismic data and complete solutions for CO2 geologic storage characterization. This integration mirrors traditional geological interpretation with the latest seismic attributes, ensuring a comprehensive and efficient workflow for geology and geophysics professionals.

geomodelingAI is an advanced software incorporated within the subsurfaceAI platform, designed to provide a comprehensive solution for reservoir modeling. This tool uniquely combines the capabilities of SBED and ReservoirStudio, allowing for multi-scale and cross-scale modeling of full-field reservoirs. The software offers a detailed workflow that includes horizon surface modeling, stratigraphic scenario modeling, facies analysis, near-wellbore modeling, and property simulation. It is particularly adept at handling geological heterogeneity and offers sophisticated AI-driven workflows for efficient data processing and uncertainty quantification. With features such as comprehensive template libraries, advanced upscaling techniques, and the ability to capture sub-seismic heterogeneity, geomodelingAI serves as an indispensable tool for geoscientists and reservoir engineers seeking to enhance their understanding and management of reservoir dynamics.