Hello, professors
I am a graduate student from China. My majors are geothermal and geophysical methods.
In the past few years, I have devoted myself to studying the coupling between geothermal and geophysical , and the application of some machine learning in geothermal. I believe that geophysical signals applied in geothermal have many potential responses that can be analyzed. Therefore, the complex geothermal coupling field can be simulated and then converted into geophysical parameters for further discussion. This kind of methods is applied to statistical and empirical functions. But its limitations are also obvious. There are still large errors in the statistical geophysical parameters and empirical functions of a large number of samples. It is suitable for general geothermal problems, which requires a lot of assumptions and conditions.
The hydro-thermal equation gives a reasonable coupling form from the physical laws of materials. This allows more properties to be linked to geothermal systems, including THM and THMC. THM model can further discuss the stress change and possible fracture by simulating the pressure and heat distribution in the water injection, which provides help for the simulation of micro-seismic method. Carcione et al. (2018) obtained the sensitivity of heat and pressure in seismic methods with burgers-Gassmann model. self-potential is a geophysical method that is very suitable for coupling with geothermal because it is related to Darcy velocity and thermoelectric response. The gravity method can also be directly related to the hydrothermal model through Archie formula, saturation and other parameters. Therefore, geophysical signals are not limited to obtaining intrinsic parameters, and the deep relationship between them and geothermal parameters should be quantified.
I would be happy to receive any suggestions for this study. Are there more articles to discuss and analyze such study? Are empirical functions and sample statistics more applicable? If the coupling calculation can be well solved, geophysical inversion and joint inversion will restore more useful information? If you have new ideas about this study, your suggestions may be of great help to me, although it is a single geophysical method, including MT, seismic, gravity or magnetic.
In addition, since I am not a native speaker, I use a lot of machine translation to describe this study, sorry.