NEOS Launches Geoscience Program to Map CO2 Resources

NEOS GeoSolutions, Inc. has secured the backing needed to launch an integrated geological and geophysical project to image a major CO2 reservoir in the western United States.

This multi-measurement interpretation study incorporating airborne- and groundacquired geophysical data will cover more than 1,000 square miles of topographically challenging, environmentally sensitive terrain in the Rocky Mountain region, an area containing numerous natural accumulations of CO2.

Adey Ojelabi, Director of Business Development for NEOS, commented, “This will be the first time we have applied multi-measurement interpretation (MMI) methods to map CO2 resources. The NEOS technical team worked closely with the client – who is a repeat NEOS customer – to understand their imaging objectives and design an MMI survey that will help them to optimize the development of their CO2 reservoir. Most CO2 fields have similar geology to conventional natural gas fields, making MMI methods well suited to imaging and appraising them. In addition, the dominant use of airborne platforms for geophysical data acquisition enables us to acquire the needed subsurface measurements over this environmentally challenging area in a timely, low-impact manner.”

NEOS plans to acquire three new geophysical datasets – airborne magnetic and electromagnetic and ground magnetotelluric – and will integrate them with existing satellite multi-spectral, gravity, seismic and well information provided to it by the client or available for access in the public domain. The anticipated project deliverables include:
- Assessments of basin-scale geologic trends
- Maps of basin architecture and regional structure
- Maps of key lineaments, faults and fault-driven fracture networks
- 2-D and 3-D structural and stratigraphic models
- Maps of basement topography, faulting and composition
- A 3-D resistivity volume extending above and below the target reservoir interval(s)
- Maps of relative prospectivity, resource in place, selected rock properties and fluid distributions derived using predictive analytics methodologies.

This study is being executed under a multi-client commercial model. Final results are expected to be provided to the lead underwriter in the fourth quarter of 2015.