Improved Geothermometry Through Multivariate Reaction-path Modeling and Evaluation of Geomicrobiological Influences on Geochemical Temperature Indicators: Final Report

Mattson, Earl¹  Smith, Robert¹  Fujita, Yoshiko¹  McLing, Travis¹  Neupane, Ghanashyam¹  Palmer, Carl¹  Reed, David¹  Thompson, Vicki¹ 

[1] Idaho National Lab. (INL), Idaho Falls, ID (United States)

关键词: Geothermometry;   

DOI  :  10.2172/1177234
RP-ID  :  INL/EXT--14-33959
PID  :  OSTI ID: 1177234

学科分类：再生能源与代替技术

美国|英语

来源: SciTech Connect

【 摘 要 】

The project was aimed at demonstrating that the geothermometric predictions can be improved through the application of multi-element reaction path modeling that accounts for lithologic and tectonic settings, while also accounting for biological influences on geochemical temperature indicators. The limited utilization of chemical signatures by individual traditional geothermometer in the development of reservoir temperature estimates may have been constraining their reliability for evaluation of potential geothermal resources. This project, however, was intended to build a geothermometry tool which can integrate multi-component reaction path modeling with process-optimization capability that can be applied to dilute, low-temperature water samples to consistently predict reservoir temperature within ??30 ?��C. The project was also intended to evaluate the extent to which microbiological processes can modulate the geochemical signals in some thermal waters and influence the geothermometric predictions.