Imaging Fluid Flow in Geothermal Wells Using Distributed Thermal Perturbation Sensing | |
Freifeld, B. ; Finsterle, S. | |
Lawrence Berkeley National Laboratory | |
关键词: Heating; 58; 54; Fluid Flow; Simulation; | |
DOI : 10.2172/1016576 RP-ID : LBNL-4588E RP-ID : DE-AC02-05CH11231 RP-ID : 1016576 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
The objective of Task 2 is to develop a numerical method for the efficient and accurate analysis of distributed thermal perturbation sensing (DTPS) data for (1) imaging flow profiles and (2) in situ determination of thermal conductivities and heat fluxes. Numerical forward and inverse modeling is employed to: (1) Examine heat and fluid flow processes near a geothermal well under heating and cooling conditions; (2) Demonstrate ability to interpret DTPS thermal profiles with acceptable estimation uncertainty using inverse modeling of synthetic temperature data; and (3) Develop template model and analysis procedure for the inversion of temperature data collected during a thermal perturbation test using fiber-optic distributed temperature sensors. This status report summarizes initial model developments and analyses.
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