Connectivity to OSDU™ open platform and third-party databases enables quick project start with minimal preparation.
Aspen SeisEarth features a workflow for interpreters that uses a neural network to predict log properties away from existing wells.
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.
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...Case Study
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 ...Video
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...Article
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...Brochure