RokDoc Ji-Fi is a flagship joint impedance and facies inversion technology that simultaneously estimates facies and elastic properties directly from seismic data with rock physics consistency, delivering higher resolution results and realistic uncertainty characterization.

Key Features

Joint Discrete-Continuous Inversion Framework Facies-aware and rock physics consistent inversion

• Mixed discrete (facies) and continuous (impedances-per-facies) inversion approach that captures correct physics of the convolutional seismic inverse problem
• Simultaneous estimation of facies and impedances directly from pre- or post-stack seismic data
• Facies-dependent impedance assignment ensuring geological realism and eliminating non-geological intermediate values
• Rock physics consistency enforced throughout the inversion process
• Impedances constrained to facies-specific values within uncertainty bounds

Advanced Prior Model Construction Flexible and rapid geological model setup

• Fast and flexible prior model construction with multi-zone capability
• Spatially varying seismic wavelets accommodating lateral velocity variations
• Per-facies low-frequency background models (LFBM) specified individually for each expected facies
• Incorporation of seismic or time-depth velocities as low-frequency constraints
• Rapid multi-zone prior geological model construction incorporating fluid contacts
• Vertical and lateral stratigraphic continuity constraints

Comprehensive Inversion Modes and Methods Multiple inversion approaches for diverse applications

• Local and global optimization modes for flexible inversion strategies
• Global multi-trace inversion of facies images
• Support for Fatti, Aki-Richards, and Zoeppritz reflectivity models
• Facies-dependent VTI anisotropic inversion mode for complex geological settings
• Lateral constraints enabling spatially coherent facies and impedance estimation

Superior Thin-Bed Detection and Resolution Enhanced spectral content and geometric accuracy

• Ji-Fi generated impedances exhibit wider spectral content than simultaneously inverted impedances, improving thin-bed detection capability
• Correct depth positioning of thin beds even in presence of seismic tuning effects
• Elimination of interpolation halos and frequency deficiencies common in standard simultaneous inversion
• Realistic geometry definition avoiding blurring across faults and stratigraphic boundaries

Rigorous Quality Control and Validation Comprehensive QC workflows and outputs

• Interactive well QC with predicted facies, facies probabilities, and synthetic-seismic comparisons
• Automatic map and volume QC outputs for residuals, synthetics, derived low-frequency models, and geological attributes such as net-to-gross and net thickness
• Blind well QC by design using well data in a soft manner only
• 3D QC capabilities ensuring spatial consistency
• Elastic property uncertainty and facies probability visualization over input seismic stack

High-Performance Computing Support Scalable processing for large datasets

• Multi-threaded, multi-CPU, and cluster-based processing using message passing interface (MPI)
• Batch export and scheduling capabilities using portable batch system (PBS)
• Support for large-scale 3D inversions across multiple zones

Comprehensive Data Format Support Flexible input and output capabilities

• Input formats: LAS, DLIS, ASCII, XLS, JPEG, TIFF, SEG-Y (regular/irregular), ECLIPSE.EGRID, ECLIPSE.GRDCL
• Support for interpreted well logs, image logs, discrete value sets, checkshot data, directional surveys, formation tops, core data, SCAL data, lithostratigraphy schemes, mud logs, pressure data, integrity data, drilling event data, breakouts, and VSP data

Uncertainty Quantification and Probabilistic Outputs Robust geological and data uncertainty assessment

• Elastic facies and elastic property probabilities and uncertainties captured and investigated
• Outputs ranked by volume and net-to-gross ratio
• Stochastic realization generation for uncertainty characterization
• Investigation of both geological and data uncertainties

Benefits

Improved Interpretation Accuracy and Realism

• Produces more realistic and accurate estimation of facies and impedances compared to conventional simultaneous inversion
• Eliminates non-geological impedance values and artifacts inherent in continuous-only inversion approaches
• Correct physics implementation ensures geologically plausible results

Enhanced Petrophysical Property Prediction

• Facies-specific rock physics transforms enable more accurate petrophysical property estimation than facies-agnostic approaches
• Facies information combined with impedances improves porosity, permeability, and saturation prediction
• Rock physics consistency ensures reliable property estimates for reservoir characterization

Superior Uncertainty Characterization

• Captures both geological and data uncertainties in a rigorous framework
• Probabilistic facies and impedance outputs enable risk-aware decision making
• Uncertainty investigation supports robust de-risking of exploration and production prospects

Higher Resolution Subsurface Imaging

• Wider spectral content in inverted impedances improves thin-bed detection and resolution
• Correct depth positioning of thin beds and stratigraphic features
• Elimination of interpolation artifacts and frequency deficiencies

Integrated Seismic Inversion and Reservoir Characterization

• Blends worlds of seismic inversion and seismic reservoir characterization
• Facies-based results facilitate integration with geological modeling and flow simulation workflows
• Improved foundation for pressure prediction, prospect de-risking, and accurate geological modeling