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Contact Us Christopher Ross Neural Networks
Applied Geophysicist
Cross QI has been providing clients better Cross QI advocates the use of supervised
analysis and interpretation for decision Dr. Ross is currently neural networks for classification or
making with neural networks for nearly president of Cross QI, a mapping of petrophysical data, creating
20 years. quantitative interpretation seismic output volumes that are calibrated
consulting service by well data. Here calibrated means “learned
More accurate decisions can be made with company involved with from logs,” which is ideal for risking and
better integrated geophysical answers. leading-edge, applied making drilling decisions for conventional or
While individual seismic attributes can be and integrated geophysical interpretation unconventional resource plays.
useful, supervised neural network answers and analysis techniques for exploration Quantitative interpretation
using multiple seismic attributes trained and development. For over 30 years he Neural networks simply map or translate for unconventional
at known geologies with well logs yields has managed, led, and worked as a team one set of attributes to another. Multiple resource plays
a more concise analysis for cost-effective member for contractors and oil and gas seismic attributes are trained and tested
decision making. companies. His focus areas are, but not with well logs to create meaningful
limited to, multi-attribute neural network seismic rock property volumes (brittleness, • Drill Smarter - Exceed Expectations
Work with Cross QI to improve your inversions, seismic attributes, AVO porosity, volume shale, etc.) for direct
decisions and see how your development modeling and analysis, acoustic impedance interpretation. Unlike unsupervised neural • Classify geologies into meaningful facies
program can benefit. inversion, geostatistical projects, and networks that return “classified but
seismic over-pressure studies, which have uncalibrated” data volumes, the MLP and • Train the seismic to reveal
routinely improved drilling success rates, PNN supervised neural networks employed pertinent rock properties
reduced risk, and improved financial by Cross QI address non-linear problems •
positions. that result in geologically meaningful Quantitative interpretation answers for
answers that are scored against well data – Seismic facies classification
Dr. Ross’ comprehensive processing and improve clarity in the subsurface. – Brittleness
and interpretation skills, coupled with – TOC
a pragmatic problem-solving style in – Porosity
geoscience and associated disciplines, – Pressure and stress
have given him acute insight into – Impedances (Zp & Zs)
effective selection of appropriate • Approach log-scale results with
applied technologies with integrated and sub-seismic sample rates and well logs
Christopher P. Ross contemporary geoscience and engineering
215 Lincoln Avenue, Suite 118 practices. • High-grade drilling programs with fully
Santa Fe, NM 87501 integrated petrophysics & seismic
t 505.989.4000
c 505.216.6525
www.crossqi.com
