Peter Wang, Geophysical Technical Advisor
Featured Domain: Interpretation
, Reservoir Geophysics-QSI
Featured Technologies: Quantitative Seismic Interpretation
, Paradigm® 17
New QSI workflows are rooted in Paradigm’s continued ability to deliver in the areas of seismic amplitude and velocity analyses, reservoir modeling, and convenient user-friendly software interfaces.
FOR SHALE PLAYS AND FRACTURED CARBONATES: Availability of the AVAZ/VVAZ workflow in the Windows operating system on the SeisEarth interpretation platform means that front-line interpreters now have, at their fingertips, the ability to determine the Geomechanical (vertical fracture and horizontal stress) state of shale or fractured carbonate reservoirs. Working from ubiquitous Microsoft Windows desktops, laptops, or Cloud machines, users will be able to determine the best, most profitable places to frac, or avoid stressed or fractured rock on the way to the target, which may have a higher risk of a drilling hazard.
FOR LITHOSEISMIC CLASSIFICATION: A significant new workflow has been added to the QSI suite - the ability to do Crossplot-based Lithoseismic Classification. Starting from Prestack Maximum Likelihood Inversion (PMLI) results, the user defines multi-variate lithofacies probability distribution functions from well data, and applies them to the PMLI inversion properties to deliver probability volumes of predicted lithofacies and/or fluid properties.
The Crossplot-based Lithoseismic Classification is supported by a multitude of general improvements to Crossplotting, including:
- Crossplot data from different sources (logs, map, volumes) together
- Simultaneously mark all source windows with crossplot coloring
- Scale synthetic to seismic data in crossplot window
- Distinguish between different wells, intervals and lithologies in the crossplot display
- Asymmetric coloring from relation
FOR PREDICTING THE SEISMIC RESPONSE OF COMPLEX RESERVOIRS: The time-honored “Wedge” modeling concept has been enlarged to encompass general 2D modeling using user-selected interpretations. A simplified interface is available for geometrical (wedge) and rock properties 2D modeling, that provides:
- Ability to use horizons as top and bottom
- Ability to crossplot 2D models in Well Log Window
- Ability to create and display synthetic gathers
- Availability of AVO plot in well log window for better understanding of synthetic gathers
- New amplitude tracking tool
- 2D model traces can be saved for use in Waveform Classification workflow in Integrated Canvas
LEVERAGING PARADIGM’S DEPTH DOMAIN STRENGTHS TO SIMPLIFY COLORED INVERSION. We now offer on-the-fly use of Colored Inversion directly on depth-domain data, without manual domain conversions to and from time. Colored Inversion is accepted by many E&P operators as a fast-track version of post-stack Acoustic Impedance inversion.
LEVERAGING PARADIGM’S RESERVOIR MODELING STRENGTHS TO CREATE WELL-LOG RESOLUTION SEISMIC INVERSION RESULTS. A new, simplified workflow for creating Stochastic Refinement of Inversion results. This uses the SKUA-GOCAD simulation technology in an integrated canvas to produce multiple, equally probable impedance volumes with usable vertical resolution beyond what is available in the seismic wavelet alone. Outputs are tied to well data and constrained by stratigraphy, inversion results and geostatistical parameters.
is a Geophysical Technical Advisor with Paradigm. He has a BS in Geosciences from Brown University, and an MS in Geophysics and MBA from the University of Houston. He has a thirty-year history in the geophysical industry, having also served at Schlumberger as a Principal Geophysicist, Product Champion, and Workflow Champion, and Amoco Production Company (now BP) as a Senior Petroleum Geophysicist onshore USA Gulf Coast and Gabon.
Dr. Mehran Hassanpour
is a Senior Technical Advisor at Paradigm for Reservoir Engineering and Modeling. He has over 10 years of experience in building integrated reservoir models for a variety of reservoirs around the world. He has a B.Sc. in Reservoir Engineering and a M.Sc. and Ph.D. in Geostatistics from the University of Alberta.