Oil–water two-phase flow patterns in a horizontal pipe are analyzed with a 16-electrode electrical resistance tomography(ERT) system. The measurement data of the ERT are treated as a multivariate time-series, thus th...Oil–water two-phase flow patterns in a horizontal pipe are analyzed with a 16-electrode electrical resistance tomography(ERT) system. The measurement data of the ERT are treated as a multivariate time-series, thus the information extracted from each electrode represents the local phase distribution and fraction change at that location. The multivariate maximum Lyapunov exponent(MMLE) is extracted from the 16-dimension time-series to demonstrate the change of flow pattern versus the superficial velocity ratio of oil to water. The correlation dimension of the multivariate time-series is further introduced to jointly characterize and finally separate the flow patterns with MMLE. The change of flow patterns with superficial oil velocity at different water superficial velocities is studied with MMLE and correlation dimension, respectively, and the flow pattern transition can also be characterized with these two features. The proposed MMLE and correlation dimension map could effectively separate the flow patterns, thus is an effective tool for flow pattern identification and transition analysis.展开更多
Based on electrical capacitance tomography technique, a novel method for flow pattern display and voidage measurement of two-phase flow was proposed. A 12-electrode ECT measurement system was developed. The weighted b...Based on electrical capacitance tomography technique, a novel method for flow pattern display and voidage measurement of two-phase flow was proposed. A 12-electrode ECT measurement system was developed. The weighted back projection algorithm was selected as the image reconstruction algorithm to satisfy the requirement of flow pattern display. Combining the principle of Tikhnov regularization theory with the ART(Algebraic Reconstruction Technique) algorithm, a new quantitative image reconstruction algorithm was developed to implement voidage measurement of two-phase flow. Experimental results of gas-liqiud two-phase flow and gas-solid fluidized bed showed that the developed measurement system was successful. The speed of image reconstruction of flow pattern display was greater than 20 frames per second. The maximum error of voidage measurement is less than 5% and the time of voidage measurement is less than 2 seconds.展开更多
基金Projects(61227006,61473206) supported by the National Natural Science Foundation of ChinaProject(13TXSYJC40200) supported by Science and Technology Innovation of Tianjin,China
文摘Oil–water two-phase flow patterns in a horizontal pipe are analyzed with a 16-electrode electrical resistance tomography(ERT) system. The measurement data of the ERT are treated as a multivariate time-series, thus the information extracted from each electrode represents the local phase distribution and fraction change at that location. The multivariate maximum Lyapunov exponent(MMLE) is extracted from the 16-dimension time-series to demonstrate the change of flow pattern versus the superficial velocity ratio of oil to water. The correlation dimension of the multivariate time-series is further introduced to jointly characterize and finally separate the flow patterns with MMLE. The change of flow patterns with superficial oil velocity at different water superficial velocities is studied with MMLE and correlation dimension, respectively, and the flow pattern transition can also be characterized with these two features. The proposed MMLE and correlation dimension map could effectively separate the flow patterns, thus is an effective tool for flow pattern identification and transition analysis.
基金国家自然科学基金青年基金 (No .2 970 6 0 0 8)国家自然科学基金重大项目 (No .5 9995 46 0 -5 )资助项目~~
文摘Based on electrical capacitance tomography technique, a novel method for flow pattern display and voidage measurement of two-phase flow was proposed. A 12-electrode ECT measurement system was developed. The weighted back projection algorithm was selected as the image reconstruction algorithm to satisfy the requirement of flow pattern display. Combining the principle of Tikhnov regularization theory with the ART(Algebraic Reconstruction Technique) algorithm, a new quantitative image reconstruction algorithm was developed to implement voidage measurement of two-phase flow. Experimental results of gas-liqiud two-phase flow and gas-solid fluidized bed showed that the developed measurement system was successful. The speed of image reconstruction of flow pattern display was greater than 20 frames per second. The maximum error of voidage measurement is less than 5% and the time of voidage measurement is less than 2 seconds.
