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Contact Us Christopher Ross Production Metric Analytics
Applied Geophysicist
Cross QI has been giving clients better Cross QI advocates the use of predictive
analysis and interpretation for risk and Dr. Ross is president of analytics for creating production metric
decision-making with predictive analytical Cross QI, a geoscience models in unconventional shale reservoirs.
modeling for nearly 20 years. consulting service company While most lateral wells drilled in various
involved with quantitative shale basins will be economical, some
Integrated solutions involving multi- interpretation and analysis wells will have higher yields or better
team inputs from geology, seismic and techniques for exploration performance than others due to variations in
engineering can be directly translated into and development. He has managed and shale mineralogy. Successfully discriminating
optimal business decisions. Coupled with worked as a team member for contractors future lateral wells with above type curve
predictive analytical modeling, solutions are and oil and gas companies. His focus areas are performance from those with below-type
reached with multiple wells simultaneously, predictive analytics of production metrics for performance is critical for financial planning Predictive Analytics
yielding a more concise model for cost- unconventional resources, seismic attributes and field development. To improve financial for Production Metrics
effective financial decision making. and inversion, multi-attribute (neural results, predictive analytics are utilized.
network) inversion, azimuthal anisotropy • Drill better wells
Work with Cross QI to improve your and fracture detection, seismic overpressure This involves techniques such as data mining, – Create business intelligence
business intelligence and see how your prediction and geostatistical projects – all statistics, machine learning and other – Exceed expectations
development program can benefit. of which have routinely improved drilling methodologies to determine inter-dataset
success rates, reduced risk, and improved patterns and relationships, and to create a • Successfully discriminate future lateral
financial outcomes. predictive model for business decisions. It is wells with above type curve performance
a forward-looking methodology to enhance from those with below type curve
Developing and refining innovative predicted future outcomes (i.e. good, better performance
techniques for pragmatic problem-solving and best lateral locations) using multiple – Reduce guesswork
is par for the course for Dr. Ross, who has weighted data sets. Production metric – Leverage financial funds
done this for decades with seismic analysis analytics incorporates multi-attribute 3D – Prioritize drilling programs
and neural network techniques, getting data with production monitoring of lateral
effective answers for business decisions. wells to build a model, which can be used • Choose the well locations with better
to determine what intervals or benches will financial impact for all commodity prices
better perform within an unconventional
Christopher P. Ross shale reservoir. • Optimize margins during early field
215 Lincoln Avenue, Suite 118 development stages
Santa Fe, NM 87501
t 505.989.4000 • Integrate production information
c 505.216.6525 with 3D seismic data
www.crossqi.com
