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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
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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.
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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.
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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.
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EEI Volume and Angle Analysis
Find the optimum chi-angle to illuminate pay facies from log data, which are otherwise unable to distinguish from a single impedance alone. Turn intercept and gradient seismic data, either reflectivities or color-inverted impedance into an EEI attribute at a specified chi-angle.
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Colored Inversion
This fast, transparent inversion is widely used as a good approximation when inverting data. The tool offers salient QC plots with all the needed controls to manipulate the inversion.
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Seismic Net Pay
Define a model tuning wedge and calibrate it to the band-limited impedance to determine seismic net pay.
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ODiSI - One Dimensional Stochastic Seismic Interpretation
Method matches large numbers of pseudo-wells to seismic impedance volumes, trace-by-trace. Pseudo-wells, defined as stochastic simulations of 1D stratigraphic profiles containing physical properties, are sampled from a prior distribution based on a RP and geological model describing the vertical stats and lithofacies proportions. The best matches provide estimates of properties and uncertainties.
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A single, efficient place supporting diverse workflows
Blueback Rocks QI enables access to a wide range of tools from one single place (Marina), where the user can launch any of them individually or within specific workflows. This reduces the need to look after different applications and corresponding data and enhances effectivity in a significant way.
Plug-in Attributes
Challenges:
Carbonates | Deepwater Exploration and Production
ECCN:
UK, US, Norway, EAR99
Supporting Documents
Installation Guide
Release Notes
User Manual
Others