The Aspen GeoDepth velocity determination and 3D/2D velocity model building system enables explorationists to perform accurate seismic imaging in either time or depth. Through the integration of interpretation, velocity analysis, model building, time-to-depth conversion, depth migrations and model verification and updating, Aspen GeoDepth provides the continuity needed to produce high-quality, interpretable images consistent with other available data, while preventing data loss and honoring geologic constraints.

Taking place during the Tech Summit in 2022, the hackathon gave groups around the globe the chance to be disruptors.

Mapping carbonate mounds in the Brazilian pre-salt fields is a major challenge for geoscientists, due to the complexity of the seismic image generated.

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 used to analyze complex borehole and seismic studies employing a set of unique classification approaches embedded in Aspen SeisEarth™ and Aspen Geolog Facimage™.

Aspen OpsLink is a client-server application that provides operating companies with the ability to make rapid and informed decisions during well operations to minimize risks, minimize costs and maximize productivity. Fast and flexible access to real-time WITSML™-based operational data provides key information required by asset teams.

The Aspen EarthStudy 360 full-azimuth imaging and characterization system provides 360 degrees of insight into the subsurface. The system is designed to deliver a complete set of data that enables geoscientists to obtain accurate subsurface velocity models, structural attributes, medium properties and reservoir characteristics.

Fluvial depositional environments play a major role in hydrocarbon reservoirs and have therefore received considerable attention in the domain of reservoir modeling.

In the upstream oil and gas industry, multiphase metering is a central part of many processes, such as reservoir management, field development, operational control, flow assurance and production allocation. Industrial Internet of Things (IIoT) systems unlock online production monitoring and allow field operators to monitor their wells continuously and in real-time.

Pore pressure prediction and poroelastic modeling help understand the mechanical properties of the subsurface and are regularly used in industries such as oil and gas, geothermal, and CO2 storage.

The rapid and nonintrusive deployment of seismic sensors for near-surface geophysical surveys can make data acquisition more efficient, in a wide variety of environmental and surface-terrain conditions.