Seismic Attribute Assistant-Seismic Data Analysis Tool

Example

For a geophysicist looking to delineate channel systems in a clastic environment, the assistant suggests attributes like coherence, curvature, and spectral decomposition that highlight channel boundaries and geometry.

Scenario

In practice, when a user uploads a seismic volume and specifies an interest in channel features, the assistant processes the data, applies appropriate filters, and displays attribute maps that enhance channel visibility, aiding in more accurate interpretations.

Example

By integrating attributes such as acoustic impedance and seismic velocity, the assistant provides a detailed view of the reservoir properties, which can be crucial for hydrocarbon exploration.

Scenario

When exploring for hydrocarbons, users can input seismic data along with well logs. The assistant then correlates these datasets, applies machine learning models to predict reservoir quality, and visualizes the results in a way that highlights potential hydrocarbon-bearing zones.

Example

The assistant automatically detects and annotates geological features like faults and salt domes using edge-detection algorithms and pattern recognition techniques.

Scenario

As users examine a seismic section, the assistant identifies and marks significant geological structures, provides statistical analyses of these features, and suggests potential impacts on reservoir behavior and drilling hazards.