Absolutely. By applying proven imaging and inversion techniques, legacy 2D lines can be re-gridded and processed into 3D seismic volumes. This approach is not a substitute for a full 3D acquisition, but it offers operators a cost-effective way to visualize structural and stratigraphic features, reduce risk, and maximize existing datasets. Our work is guided by a renowned geoscientist with 40-plus years of experience in major oil and gas companies. Our scientist has in excess of 40 patents in seismic imaging, bringing both technical depth and business insight. The result: 3D volumes you can trust to inform exploration and development decisions.
Multiple 2D Seismic Lines
2. Geospatial Metadata
3. Well Data (Optional but preferred)
4. Dip and Coherency Attributes
5. Interpolation Engine or Software
2D seismic provides a vertical slice of the subsurface along a single line.
3D seismic creates a volumetric cube of data, allowing interpretation in all directions (x, y, z) for more accurate geological modeling.
3D acquisition involves placing geophones in a grid pattern and collecting data from multiple directions.
It requires more equipment, processing power, and time, but yields significantly higher resolution and accuracy.
True structural dip and stratigraphic detail.
Better fault mapping and reservoir delineation.
Enhanced lateral resolution and reduced imaging artifacts like side swipes.
Yes! Our proprietary software uses interpolation algorithms to transform 2D datasets into 3D volumes.
3D seismic corrects imaging deficiencies by migrating reflections to their true spatial coordinates, reducing ambiguity and improving subsurface clarity.
1. Volume Visualization
Interpreters use interactive 3D visualization tools to explore the seismic cube:
•Inline and crossline slicing to view vertical sections
•Time slices to examine horizontal layers
•Opacity and color mapping to highlight strong reflectors and structural features
2. Horizon & Fault Interpretation
This is where geologic features are mapped:
•Horizon picking: Tracking continuous reflectors that represent stratigraphic boundaries
•Fault interpretation: Identifying breaks and offsets in reflectors using coherence or curvature attributes
•Flattening horizons to analyze depositional environments
3. Attribute Analysis
Advanced interpretation uses seismic attributes to infer lithology and fluid content:
•Amplitude vs. Offset (AVO) for hydrocarbon indicators
•Spectral decomposition to resolve thin beds
•Inversion to estimate rock properties like porosity or saturation
4. Integration with Other Data
Seismic interpretation is rarely done in isolation:
•Well logs help calibrate seismic reflectors to real rock properties
•Geological models guide structural and stratigraphic interpretations
•Reservoir simulation uses interpreted volumes to predict fluid flow