The RokDoc Rock Physics Module provides essential tools and workflows for robust rock physics analysis, forming the foundation of quantitative subsurface prediction. It allows users to quickly build powerful rock physics modeling frameworks for assets and prospects, clarifying the relationship between geological and petrophysical properties and observed seismic responses. This module helps geoscientists understand the drivers of seismic responses between wells. Its advanced seismic well-tie technology ensures a strong link between well-based models and seismic data, increasing confidence in seismic amplitude interpretation and maximizing the value of broadband seismic datasets in quantitative interpretation. The platform features a rapid 2D modeling canvas for investigating the impact of geometry and lateral variations in rock properties on seismic amplitudes, exploring tuning effects, modeling hydrocarbon contacts, and comparing synthetic 2D models directly with seismic lines. The module addresses the challenge of interpreting seismic responses, which vary significantly based on depositional environment, burial history, and current conditions, by providing a framework that links geological processes and properties to seismic response. This leads to reduced risk in interpreting seismic amplitudes, a clearer understanding of interpretation uncertainty, identification of false positives and negatives, reduced interpretation cycle times, and improved communication between geology and geophysics. Add-ons like Deep QI leverage machine learning guided by geological knowledge for predicting missing data and accelerating regional analysis, while Advanced Well-tie, Anisotropy, Attrimod, and VSP functionalities further enhance its capabilities.

Features & Benefits

• Fast, Flexible, and Powerful Rock Physics Modeling: Enables quick construction of modeling frameworks to understand the link between geological/petrophysical properties and seismic response.
• Advanced Seismic Well-tie Technology: Robustly links well-based models to seismic response, increasing confidence in seismic amplitude interpretation and value of broadband seismic data.
• Rapid 2D Modeling Canvas: Allows investigation of geometry and lateral variations on seismic amplitudes, exploration of tuning effects, modeling of hydrocarbon contacts, and comparison with seismic lines.
• Deep QI Add-on: Utilizes machine learning guided by geological knowledge to predict missing data and accelerate regional analysis.