CLIMB (Computer-Leveraged Interpretive Model Building)
Integrating Geologically-Constrained and Data-Driven Velocity Model Building
Geologically-Constrained Velocity Model Building
At Thrust Belt Imaging, geologically-constrained model building is at the heart of what we do. We work closely with your interpretation team, using all available geologic constraints to craft a velocity model that produces optimized images of your challenging seismic data. While these models provide a big-picture solution, there are often details that need a data-driven method to be revealed.
CLIMB Workflow: Integrating Interpretation and Data-Driven Methods
CLIMB is a workflow to combine our geologically-constrained and data-driven models. In complex-structure land environments, we know that data-driven methods alone cannot converge to an accurate model. We require a good starting model, which we derive from geologic constraints, and a critical eye to understand where we can trust the data-driven model. We lean on our decades of experience, collaborative workflow, and proprietary model-building software (Structures) to ensure we get the most from our data-driven methods.
Data-Driven Velocity Model Enhancement Techniques
FWI (Full Waveform Inversion)
Wave equation method that compares modeled and field data to derive velocity updates. Requires good starting model, low frequencies, and stable wavelet.
CNN (Convolutional Neural Networks)
Machine-learning method that uses synthetic data to learn the mapping between migrated data and velocity model. Requires representative training data.
Reliable Velocity Models and High-Resolution Imaging
Using the CLIMB workflow, we produce reliable velocity models and sharp images, ensuring you get the most out of your valuable seismic data.