Petrel Platform

Blueback Rocks QI

Workflow-driven multi-disciplinary tool to predict reservoir parameters

Overview

Out of the Blueback "Marina" environment, access all tools to realize a specific workflow. Easily build and apply various methodologies of Quantitative Interpretation at various stages of your reservoir, from exploration to development. Now includes newly implemented 4D analysis capabilities.

Features

Easily build and apply standard methodologies of Quantitative Interpretation at various phases of your reservoir: exploration, appraisal, development and management. Put your data in context using a powerful cross-domain data analysis tool. Investigate parameter sensitivity to assess uncertainty or customize workflows across your organization.

Specifications

Workflow oriented Quantitative Interpretation tool designed to improve efficiency Architected to work as a highly interactive tool across all multidisciplinary domains covering QI Use and combine a wide range of specific rock physics and seismic reservoir characterization applications in a single environment Blueback Rocks QI tools are Petrel workflow enabled to allow for stochastic techniques Wide coverage of workflows, from seismic conditioning, well calibration, tuning wedge, EEI, inversion and advanced lithofacies classification techniques, Bayesian, PDF, AVO and now 4D Includes Blueback ODiSI, which produces high-quality images of reservoir properties and uncertainties

Demystifying QI without compromising science

Combining rock physics models with seismic data, sedimentological information and stochastic techniques has been demonstrated to provide much better results than the ones obtained by applying single methods individually

Seismic Data Conditioning

Conditioning of seismic data before performing detailed reservoir evaluations is key to reduce uncertainty coming from processing or other operations that may affect the seismic signature coming from inside the interest reservoir zones.

Forward Modeling

Create the most commonly used rock physics models, elastic properties and fluid substitution. Use the data from a Blocky Modeling 1D solution and compare with seismic data. Model and estimate the effects of thin-beds with a tuning wedge tool. Study the effect of lateral variations in different parameters (Phi, Sw, Vshale, etc). Generate synthetic seismograms for comparisons.

Property Prediction

Create and view statistical information about Vp,Vs,Rho and other data into litho-facies classes. Build 2D PDFs from litho-facies classification to be used in Bayesian classification. Search for specified waveform segments in the seismic that closely match trace segments and derive facies ranges.Classify seismic AVO using intercept-gradient plot, highlighting anomalies by muting the background.

Additional Information