RokDoc Pressure Prediction develops 3D subsurface pore pressure models using well log and seismic velocity data with advanced calibration, stochastic analysis, and multi-realization capabilities to communicate pressure and stress risks across organizational stakeholders.

Key Features

3D Pore Pressure Model Development Spatial pressure regime characterization

• 3D model building for prediction of subsurface pore pressures away from well control
• Zone-based overburden stress calculation and normal compaction trend establishment
• Vertical effective stress estimation using Terzaghi's effective stress principle
• Integration of multiple pressure prediction methodologies including Eaton's exponential and Bowers' models
• Fracture gradient prediction using overburden pressure, vertical effective stress, and pore pressure relationships

Seismic Velocity-Based Pressure Prediction Advanced velocity calibration and transformation

• Seismic velocity QC and calibration workflows to establish velocity-to-effective stress transforms
• Velocity model generation at appropriate grid resolution for pressure prediction accuracy
• Checkshot calibration with sonic logs to minimize depth mismatches and optimize velocity models
• Interval velocity extraction and calculation from seismic data with error analysis optimization
• Pressure volume calculation, mapping, and extraction from calibrated seismic velocities
• Shale trend velocity log generation from gamma ray logs and calibrated sonic data

Stochastic Uncertainty Quantification Probabilistic pressure prediction and risk analysis

• Stochastic pore pressure prediction incorporating geological and data uncertainties
• Multi-realization analysis to evaluate range of pressure scenarios and outcomes
• Quantitative uncertainty characterization for risk-informed decision-making
• Scenario modeling to assess impacts of parameter variations on pressure predictions

Well Log Analysis and Calibration Comprehensive petrophysical data integration

• Analysis of shale intervals identified from gamma ray logs and sand tops/bases
• Shale volume log modeling from gamma ray data using volume tract generators
• Density log and sonic log integration for effective stress and pore pressure estimation
• Pressure data calibration using measured values from RFT (Repeat Formation Tests) and MDT (Modular Dynamics Tester)
• Identification of secondary overpressure mechanisms and unloading-induced pressure zones

Multi-Disciplinary Data Integration Integrated workflow construction

• Batch loading and QC of well logs, pressure measurements, seismic data, and drilling event information
• Recipe-based workflows embedded in user-friendly graphical interfaces
• Connectivity to Petrel and third-party software via Open Spirit connector for seamless data exchange
• Support for multiple data formats including LAS, SEG-Y, and pressure log data

Risk Communication and Visualization Stakeholder-focused pressure and stress risk presentation

• Effective communication of pressure and stress-related risks across multiple stakeholders and business units
• Rich visualization tools for intuitive presentation of 3D pressure models and uncertainty ranges
• Cross-plot analysis for calibration verification and model validation
• Pressure profile displays showing overpressure zones, fracture gradients, and safe drilling windows

Advanced Modeling Capabilities Flexible pressure prediction methodologies

• Support for both compaction-driven and unloading-driven overpressure mechanisms
• Eaton's exponential method for quantitative pore pressure prediction with calibrated exponents
• Bowers' model application for secondary overpressure and unloading scenarios
• Hubbert and Willis fracture pressure model integration
• Poisson's ratio calculation and application for stress regime characterization

Benefits

Improved Pre-Drill Risk Assessment

• Accurate 3D pore pressure predictions reduce drilling hazards and non-productive time
• Quantified uncertainty ranges support risk-informed well planning and design decisions
• Early identification of overpressure zones enables proactive hazard avoidance

Enhanced Well Planning and Design

• Pressure and stress predictions inform optimal well trajectories and mud weight selection
• Safe drilling window determination based on calibrated pressure models
• Fracture gradient predictions support casing design and completion optimization

Effective Stakeholder Communication

• Intuitive 3D visualizations facilitate communication of pressure risks across organizational boundaries
• Multi-realization analysis demonstrates range of possible outcomes and associated uncertainties
• Consistent methodology enables standardized risk assessment across asset portfolios

Robust Uncertainty Management

• Stochastic modeling captures geological and data uncertainties in pressure predictions
• Scenario analysis enables evaluation of alternative interpretations and parameter assumptions
• Quantitative uncertainty quantification supports confidence assessment in predictions

Seismic Data Leverage

• Overcomes limitations of velocity-based pressure prediction through advanced calibration workflows
• Extends pressure predictions beyond well control using calibrated seismic velocity models
• Integrates seismic amplitude inversion to improve prediction accuracy where velocity methods are limited