S003
Application of Physical Modeling to Deciphering Geophysical Data
Session ID#: 157757
Session Description:
Development of robust scientific models linking geophysical data to the corresponding geological structures is a crucial prerequisite of meaningful geophysical data interpretation. Analytical, numerical, and physical modelling represent three different approaches conventionally used to establish scientific basis for geophysical data analysis and interpretation.
Analytical methods provide a mathematical framework to interpret geophysical data by solving the governing equations. However, analytical models may be limited in providing an adequate and complete description of geophysical observations because of the simplified assumptions, necessary for solving the governing equations. On the other hand, numerical modeling can offer higher flexibility in describing more realistic physical conditions. However, extreme care should be taken so that numerical errors are minimized.
Compared to analytical and numerical methods, physical modeling does not require applying simplified assumptions to decipher the physics behind the geophysical observations. Thus, physical models can serve as a solid framework to validate numerical and analytical models. Besides, physical modeling can help discover new phenomena that have not been noted in field geophysical data.
This session invites contributions on all the aspects in the field of physical modeling of geophysical data, including recent advancements in the development and application of physical models for seismology, volcanology, and other disciplines. We also welcome reports on new results from physical models of geophysical phenomena.
Index Terms:
1894 Instruments and techniques: modeling [HYDROLOGY]
5194 Instruments and techniques [PHYSICAL PROPERTIES OF ROCKS]
5494 Instruments and techniques [PLANETARY SCIENCES: SOLID SURFACE PLANETS]
7294 Seismic instruments and networks [SEISMOLOGY]
Primary Convener: Roohollah Askari, Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, MI, United States
Convener: Snehamoy Chatterjee, Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, MI, United States
Fracture-Cavity Carbonate Reservoir Scale Prediction and Correction Based on Frequency-Dependent Analysis of Pre-Stack Seismic Data, Tarim Basin (1081109)
Shenghan Zhang1, Bohua Zhu1, Qi Ran1, Liping Deng2 and Lining Yang3, (1)Sinopec Geophysical Institute, Nanjing, China, (2)CNPC Research Institute of Petroleum Exploration and Development, Tangshan, China, (3)University of Manchester, Department of Earth and Environmental Sciences, Manchester, United Kingdom
Comparing healing of damaged sedimentary rocks observed in the laboratory with field observations of post-earthquake velocity recovery. (Invited) (1087864)
Hiroki Sone, University of Wisconsin, Geological Engineering Program, Madison, WI, United States and Mayukh Talukdar, University of Wisconsin Madison, Geological Engineering Program, Madison, WI, United States
Effect of Fluid Flow on Krauklis Waves: An Experimental Study (1176077)
Sananda Ray, Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, United States, Haitao Cao, Xuzhou University of Technology, School of Civil Engineering, Xuzhou, China, Gregory P Waite, Michigan Technological University, Geological & Mining Engineering & Sciences, Houghton, MI, United States and Roohollah Askari, Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, MI, United States
