AUTOMATING
INTERPRETATION
Automate your seismic data interpretation with rapid and accurate analysis by extracting geologic structures — horizons, faults, and channels.
Automate your seismic data interpretation with rapid and accurate analysis by extracting geologic structures — horizons, faults, and channels.
BUSINESS CHALLENGES
Geophysicists, petroleum engineers, and other oil and gas specialists face many challenges while working with seismic data:
VOLUMES
OF DATA
Manual seismic data interpretation requires extensive analysis—and prior organization of seismic and other related data—before interpretation can begin. The vast amount of data can be overwhelming for interpreters and cause productivity to decrease.
TIME CONSUMPTION
AND COST
Manual seismic data interpretation is time-consuming—taking weeks, months, or even longer. In order to speed up processing, companies may require additional geoscientists which increases project costs.
OPINION
AND PITFALLS
Manual seismic data interpretation is prone to interpreter’s pitfalls and depends on experience and bias. Different people view the same data differently and may end up with diverse interpretations.
Crossline slices
Inline slices
As a segmentation model, U-Net architecture with various backbones, such as ResNet-34/50, SeResNeXt, EfficientNet, etc. was used.
SOLUTION APPROACH
SoftServe’s experts used state-of-the-art segmentation architectures like U-Net and FPN to automate geophysical data interpretation
The model takes 3D Seismic as input and after processing returns interpreted Seismic volume.
Pre-interpretation, 3D Seismic is split into 2D slices. This approach allows us to efficiently train networks with low amounts of 3D data via transfer learning.
BUSINESS VALUE
SEISMIC
DATA
INTERPRETATION
Deep learning technologies for geophysical data interpretation enable large volumes of data analysis and understanding of the relationship between various geological data types simultaneously.
REDUCING
MANUAL
OPERATION
The conservative workflow of seismic data interpretation requires manual work which is time-consuming and human-intensive. The model can supplement geoscientists in seismic interpretation to help interpret large amounts of data significantly faster, reducing pitfalls and dependencies on experience and bias.
ENHANCING
EXPLORATION
AND PRODUCTION
Faster processing and higher precision during seismic data interpretation accelerates future exploration decision making and empowers more accurate basin models to predict future production and field profitability.