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Design On High Temperature Simulator Device Of Heavy Oil Well Bore And Research On Signal Processing Technology Based On Distributed Optical Fiber

Posted on:2010-10-20Degree:MasterType:Thesis
Country:ChinaCandidate:H X WangFull Text:PDF
GTID:2178360278961213Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
Underground temperature and pressure measurements of heavy oil thermal recovery wells is of great significance for the optimization of oil field development program, enhanced oil recovery and production, reduce production costs, but the poor underground logging environment such as high temperature and high pressure, heavy corrosion, strong radiation makes great demands to logging technology, which has been hot and difficult problems in the side of reservoir monitoring. Conventional electronic sensors can hardly work stability in a complex and poor underground for a long-term, but Distributed Fiber Optic Sensor based on fiber Brillouin Scattering have many characteristics such as high sensitivity,bearing high temperature, good anti-interference and real-time and continuous sampling, can be very well to meet the testing requirements of key parameters of the oil producing wells, havs high research value and broad application prospects.In the subject, we design an Analog experimental device of furnace temperature control system for heavy oil thermal recovery wells, to provide a high-temperature testing device for the research of fiber-optic logging technology and related theories. The control core of the hardware part of the temperature control system is DSP whose style is TMS320LF2407A, the implementation device is pulse width modulation power regulator of the style of solid state relays to control temperature, the collection and display module of the temperature use smart meters. Through repeated testing, set up mathematical model of furnace; Based on the characteristics of large time delay and large inertia of the object, we design an incremental, integral separated–variable integral, temperature closed-loop PI regulator, in which the PWM duty cycle is the output value. In the end , set up experiment platform for hardware and software online debugging in the laboratory. The regulation of PI control parameters bases on the simulation results under Matlab, then, have further fine-tuning of control parameters under DSP, so that we can achieve good control effect.We have studied the digital signal processing of temperature and pressure testing data of distributed fiber-optic well logging of heavy oil wells. Based on the deep study of Brillouin scattering signal characteristics, optical coherence detection technology and the principle of wavelet transform in fiber-optic well logging system, we design to use the wavelet transform to remove noise, then make use of curve fitting and the corresponding relations of Brillouin signal parameters and temperature and pressure to deal with Brillouin scattering signal, and finally, use the designing method into the fiber logging validation tests, to get the temperature and pressure testing data.
Keywords/Search Tags:Heavy oil recovery, fiber-optic well logging, temperature control, digital signal processing
PDF Full Text Request
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