LAPSE:2024.1834
Published Article

LAPSE:2024.1834
Wavelet Cross-Correlation Signal Processing for Two-Phase Flow Control System in Oil Well Production
August 23, 2024
Abstract
An algorithm based on continuous measurement of multiphase flows of oil well production has been designed to improve the efficiency of the technical control of oil production processes in the field. Separation-free, non-contact measurement of multiphase flows of oil well products allows increasing the efficiency of managing oil production processes in the field. Monitoring the current density using radioisotope measuring transducers (RMTs) allows obtaining information about the structure of the flow in the form of the distribution of gas inclusions and the speed of movement of liquid and gas in a two-phase flow. Fluid velocity measurement is based on digital processing of RMT signals, applying a continuous or discrete undecimated wavelet transform to them, and assessing the cross-correlation of wavelet coefficients in individual subspaces of the wavelet decomposition. The cross-correlation coefficients of two RMT signals located at a base distance, calculated in the subspaces of the wavelet decomposition, characterize the speed of movement of gas bubbles of different sizes in a vertical pipe. The measurement assumes that the velocity of the liquid phase of the oil flow in a vertical pipe mainly corresponds to the velocity of small bubbles. This speed should be determined by the maximum cross-correlation of wavelet coefficients in the corresponding decomposition subspace. Computer modeling made it possible to evaluate the characteristics of the algorithm for controlling the speed of liquid movement in the gas−liquid flow of oil well products and determine the mass flow rate of the liquid and the relative value of the gas content. The implementation of the algorithm in a multi-channel version of the device allows monitoring an entire cluster of wells in the field.
An algorithm based on continuous measurement of multiphase flows of oil well production has been designed to improve the efficiency of the technical control of oil production processes in the field. Separation-free, non-contact measurement of multiphase flows of oil well products allows increasing the efficiency of managing oil production processes in the field. Monitoring the current density using radioisotope measuring transducers (RMTs) allows obtaining information about the structure of the flow in the form of the distribution of gas inclusions and the speed of movement of liquid and gas in a two-phase flow. Fluid velocity measurement is based on digital processing of RMT signals, applying a continuous or discrete undecimated wavelet transform to them, and assessing the cross-correlation of wavelet coefficients in individual subspaces of the wavelet decomposition. The cross-correlation coefficients of two RMT signals located at a base distance, calculated in the subspaces of the wavelet decomposition, characterize the speed of movement of gas bubbles of different sizes in a vertical pipe. The measurement assumes that the velocity of the liquid phase of the oil flow in a vertical pipe mainly corresponds to the velocity of small bubbles. This speed should be determined by the maximum cross-correlation of wavelet coefficients in the corresponding decomposition subspace. Computer modeling made it possible to evaluate the characteristics of the algorithm for controlling the speed of liquid movement in the gas−liquid flow of oil well products and determine the mass flow rate of the liquid and the relative value of the gas content. The implementation of the algorithm in a multi-channel version of the device allows monitoring an entire cluster of wells in the field.
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Keywords
cross-correlation, oil production process, radioisotope measuring transducer, wavelet transform
Subject
Suggested Citation
Arseniev D, Malykhina G, Kratirov D. Wavelet Cross-Correlation Signal Processing for Two-Phase Flow Control System in Oil Well Production. (2024). LAPSE:2024.1834
Author Affiliations
Arseniev D: Graduate School of Cyber-Physical Systems Control, Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg 195251, Russia
Malykhina G: Graduate School of Computer Technologies and Information Systems, Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg 195251, Russia [ORCID]
Kratirov D: LLC “Complex-Resource”, 17th Line of Vasilevskiy Island, 4−6, Saint-Petersburg 199034, Russia
Malykhina G: Graduate School of Computer Technologies and Information Systems, Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg 195251, Russia [ORCID]
Kratirov D: LLC “Complex-Resource”, 17th Line of Vasilevskiy Island, 4−6, Saint-Petersburg 199034, Russia
Journal Name
Processes
Volume
12
Issue
7
First Page
1479
Year
2024
Publication Date
2024-07-15
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr12071479, Publication Type: Journal Article
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LAPSE:2024.1834
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https://doi.org/10.3390/pr12071479
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Aug 23, 2024
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