Our Geothermal Solution

Geothermal - Earth Core

NEOS has created a solution to meet those geothermal challenges that each explorationist faces, allowing companies to de-risk their prospects through an enhanced understanding of the geothermal system.

The delivery of an integrated, congruous, and consistent earth model provides geothermal operators with the insights required to make informed field development decisions, including:

  • Attributed of the geothermal system as a whole
  • Geologic and structural controls on the geothermal field
  • Characteristics of the geothermal reservoir and fluids

Click here to read more about the NEOS Geothermal Solution.

Resistivity Imaging in a Fold and Thrust Belt

Resistivity Volume
3D Resistivity Volume

Be sure to grab your April issue of First Break, and turn to this month’s special topic: EM & Potential Methods, where NEOS discusses the results from resistivity imaging using ZTEM and MT data in the geophysical study of a ~2900 km2 region of the northern Raton Basin in southern Colorado.

Because of the land access and permitting issues, as well as the large amount of terrain needing to be traversed during the geophysical survey, we decided to incorporate a dense airborne ZTEM survey along with the sparse MT stations.

To read the full article, Resistivity Imaging in a Fold and Thrust Belt using ZTEM and sparse MT Data, click here or on the image above.

NEOS’ SIG Launches Frequency Enhancement Offering

Time slice of Mid-Continent USA data near the reservoir interval. Yellow highlights an interpreted graben feature. Data courtesy of ION GeoVentures.
Time slice of Mid-Continent USA data near the reservoir interval. Yellow highlights an interpreted graben feature. Data courtesy of ION GeoVentures.

The Seismic Imaging Group (SIG) at NEOS has launched a new seismic data processing offering.  This technique for structurally oriented frequency enhancement (SOFE) significantly improves the recovery of high and low frequency acoustic signal. The result is an improvement in the vertical resolution of seismic images and an increase in the quality and utility of the seismic data that geoscientists use for attribute extraction, inversions, and rock and fluid property determination.

According to Dr. Edward Jenner, Research Director at SIG,

SOFE works by applying a frequency-dependent filtering technique that uses the mid-range spectrum, in which we have the highest signal-to-noise, to guide the filtering and attenuation of noise in the low- and high-range frequency spectra, in which we have the lowest signal-to-noise.  The technique typically results in a significant increase in useable bandwidth of 30-50 Hz at the high-end of the spectrum, thus significantly increasing the resolution of the resulting seismic images.”

While SOFE will be of great value in almost every geologic setting, the greatest uplift will likely be realized by interpreters working in thin, stacked-pay reservoirs (such as those found in the Permian Basin) or those trying to image and determine rock properties in stratigraphic plays.

For those who will be at SEG in New Orleans next week, Dr. Jenner will be hosting an invitation-only Lunch & Learn on Tuesday October 20th.

Data before and after SOFE. a) input seismic section; b) seismic section after SOFE; c) input seismic section after spectral balance - note significant high-frequency artifacts; d) SOFE section after the same spectral balance as in (c) – note high-frequency artifacts are eliminated and the result is a broad-band, high-resolution, interpretable section that ties the well data. Data courtesy of ION GeoVentures.
Data before and after SOFE. a) input seismic section; b) seismic section after SOFE; c) input seismic section after spectral balance – note significant high-frequency artifacts; d) SOFE section after the same spectral balance as in (c) – note high-frequency artifacts are eliminated and the result is a broad-band, high-resolution, interpretable section that ties the well data.
Data courtesy of ION GeoVentures.

To learn more about NEOS, click here.

Quantifying the Value of Information – Neuquen Development

VOI-OilVoice

Click here to continue reading this article on the Value of Information that we co-authored with Palantir and which was published in OilVoice on the 1st of September. Palantir used their economic modeling and asset optimization software to determine the economics of Vaca Muerta shale development under four different scenarios, in which the quantity and quality of subsurface G&G information varied.

The conclusion: investing $1,000 per sqkm to acquire and interpret multi-physics data in an attempt to highgrade acreage and identify sweet spots has a 10x ROI and roughly doubles the resource additions from the 30 well program.