A comparison of 1D vertical models of biogenic gas content within a northern peatland from common mid-point and cross-borehole GPR

Andrew Parsekian, Slater Lee, Xavier Comas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Surface-based ground penetrating radar surveys are non-invasive and fast while cross-borehole methods have the potential to be more accurate and repeatable, though time consuming. In order to assess the variation between common mid-point and cross-borehole surveys as a tool for estimating free-phase gas volume in peat soils, we compared the modeled gas content results from surface-based multiple-offset data to downhole zero-offset profiles. Accuracy of each method was also evaluated using reciprocal measurements and statistical methods. Both common mid-point and cross-borehole methods yielded repeatable measurements and resulted in a similar range of gas content estimates. Variations in gas content estimates ranged from <1%-16%, though the common mid-point measurements underestimated the gas content compared to the cross borehole measurements.

Original languageAmerican English
Title of host publicationProceedings of the 13th Internarional Conference on Ground Penetrating Radar, GPR 2010
DOIs
StatePublished - 2010
Event13th Internarional Conference on Ground Penetrating Radar, GPR 2010 - Lecce, Italy
Duration: Jun 21 2010Jun 25 2010

Publication series

NameProceedings of the 13th Internarional Conference on Ground Penetrating Radar, GPR 2010

Other

Other13th Internarional Conference on Ground Penetrating Radar, GPR 2010
Country/TerritoryItaly
CityLecce
Period6/21/106/25/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

Keywords

  • CRIM model
  • Common mid-point
  • Cross borehole
  • Error estimate

Fingerprint

Dive into the research topics of 'A comparison of 1D vertical models of biogenic gas content within a northern peatland from common mid-point and cross-borehole GPR'. Together they form a unique fingerprint.

Cite this