Advanced Fracture Mapping
LithoSight helps clients to better understand fractured reservoirs for improved hydrocarbon production or hot basement rocks for improved geothermal production.
How it works
FractureSight is an integrated geoscience workflow designed to identify and characterize fracture-controlled reservoir behavior by combining multiple subsurface datasets within a unified analytical framework. The process begins by generating advanced seismic attributes and calibrating seismic data with well logs to enhance the detection of structural and fracture-related features. In parallel, fracture observations from image logs (FMI) and other well-based measurements are analyzed using computer vision and deep learning techniques to extract consistent fracture indicators. FractureSight then integrates these newly generated indicators with existing datasets provided by the operator, including structural interpretations, operational observations, and production-related indicators. Machine learning models and clustering techniques are used to analyze the combined dataset and identify zones where similar geological and production behaviors occur. The result is a set of fracture corridor maps and reservoir domains that highlight areas where fracture development and reservoir conditions are most favorable for fluid flow, supporting well placement, stimulation design, and reservoir management decisions.
Data Requirements
Deliverables
FractureSight is designed to work with the datasets geophysicists already have. To begin a fracture characterization project, we require only:
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The seismic volume to be analysed — post-stack data is sufficient. FractureSight operates within the recorded seismic bandwidth and preserves amplitude, phase, and wavelet characteristics, ensuring that fracture indicators are derived from physically consistent seismic information.
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At least one well with basic log information — typically density and sonic logs, or an equivalent reflectivity estimate. These provide calibration for the seismic response and help ensure that fracture indicators remain consistent with the local rock physics and stratigraphy.
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Geological context for the study area — such as interpreted horizons, structural framework, or regional stress orientation if available. These inputs help guide fracture interpretation and ensure results are consistent with the geological setting.
With this minimal dataset, FractureSight generates a high-resolution fracture indicator volume that highlights likely fracture corridors, structural discontinuities, and deformation zones across the full seismic survey, while remaining anchored to well control and geological understanding.
FractureSight provides a suite of interpreter-ready outputs designed to integrate directly into existing subsurface workflows. The products are designed to support detailed structural interpretation and reservoir characterization by revealing fracture systems that may not be clearly visible in conventional seismic attributes.
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Fracture indicator volume - A high-resolution seismic attribute volume highlighting likely fracture corridors, structural discontinuities, and deformation zones. The output enhances subtle seismic expressions associated with fracture networks while preserving the underlying seismic character. Delivered in standard seismic formats, ready for loading into your interpretation platform.
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Fracture probability and intensity maps - Interpreted products that highlight areas where fractures are most likely to occur and where fracture density may be highest. These maps support structural interpretation, reservoir characterization, and well planning by identifying fracture-controlled sweet spots and potential flow pathways.
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Uncertainty products - Optional uncertainty estimates indicate where fracture indicators are strongly supported by the seismic data and where interpretation confidence is lower. This helps interpreters understand risk and make informed geological and operational decisions.
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Integrated interpretation outputs - Results are delivered in formats compatible with standard interpretation platforms and can be integrated with existing structural interpretations, horizon frameworks, and well information to support geological analysis and decision-making.