Mud logging gas detection and chromatography have been traditionally used as indicators of hydrocarbon occurrence and wellsite safety. However, the application of mud logging gas as a reliable reservoir characterization tool had previously been hindered by its semi-quantitative nature, noticeably the inability to get repeatable responses in all environments so that the analysis can be used as a trusted analytical tool, regardless of gas trap operating conditions and surface environments.A new gas extraction system, Constant Volume Gas Trap (CVGT TM ), is now available at wellsite and has been successfully run worldwide. Equipped with several innovative features, CVGT not only improves mud gas extraction efficiency, but also reduces the effects of environmental and operation conditions on quantitative gas measurement. Coupled with high accuracy and a fast cycle gas chromatography system, CVGT gas ratio analysis provides a cost-effective approach to evaluate reservoir fluid types, contacts, and other critical information needed for subsequent fluid sampling, testing, and development programs.Several applications of gas ratio analysis are presented that complement other reservoir characterization tools and approaches. Vigorous data QC are enforced to reduce the effects of any non-reservoir fluid contributions. Most suitable ratio cutoffs are determined for the target reservoirs. These cutoffs are determined through a variety of factors, in particular the known reservoir fluid properties from offset wells in the area. C1/sum(C1~C5), and the combined use of gas wetness ratio (GWR) and light heavy ratio (LHR) have proved to be the most valuable out of all the gas ratios investigated. Together with total gas and gas chromatography, these ratios and ratio combinations are able to indicate the occurrence of reservoir zone, the types of fluid in it, and the fluid contacts. Fluid types defined from ratio analysis are correlated with LWD/wireline data, particularly the resistivity, cross-over of neutron and density, and pressure gradient analysis. This ultimately leads to better reservoir characterizations with regards to its vertical connectivity, compartment and caprock efficiency, etc.