Aspen SeisEarth™
Fast, multi-survey structural and stratigraphic interpretation and visualization, enabling multiple users to collaborate in a single shared environment.
A One-Stop Shop for Interpreters
One Platform for Both Simple and Advanced Interpretation
Informed, Collaborative Decision Making
Enhanced Productivity and Efficiency
Efficient Data Management and Interoperability
Connectivity to OSDU™ open platform and third-party databases enables quick project start with minimal preparation.
Predict Rock Property Volumes from
Seismic Attributes
Aspen SeisEarth features a workflow for interpreters that uses a neural network to predict log properties away from existing wells.
- Fast: Reduces inversion project turn over compared to traditional amplitude inversion methods
- Efficient: Generates multiple rock property volumes simultaneously, directly from seismic attribute volumes
- Easy: Requires no QI expertise
Aspen SeisEarth is a one-stop shop for interpreters. This integrated solution suite provides fast, multi-survey structural and stratigraphic interpretation and visualization from regional to reservoir, enabling multiple users to collaborate in a single shared environment.
Case Study
Mapping carbonate mounds in the Brazilian pre-salt fields is a major challenge for geoscientists, due to the complexity of the seismic image generated.
Case Study
A customer in Eastern Europe needed an accurate assessment of effective oil-saturated thicknesses in a major development project. This case study explains how machine learning-based algorithms were us...
Video
This video shows a series of automated, chained workflows that offer unique, best-in-class technologies in the same integrated platform where day-to-day interpretation is performed. This helps reduce ...
Article
This article shows how a machine-learning workflow based on a Self-Growing Neural Network (SGNN) was used by Aspen SeisEarth™ as an efficient and unbiased scanning tool for carbon capture and storage ...
Article
There has been growing interest in the use of machine learning technologies for processing and interpreting seismic data. Many procedures that traditionally have been performed using deterministic met...
Article
Discover how seismic volume-based unsupervised facies classification associated with advanced visualization and detection helps delineate the prospect’s potential, increase drilling success and reduce...
Brochure
Carbon Capture Utilization and Storage (CCUS) has the potential to play a key role in reducing emissions, and permanently storing the captured CO2 in the subsurface makes it an essential part of the s...