Oil well data lossless compression based on taylor series estimating

Ying Tao Ding; Xin Chen; Jian Yan Liu; Yi Ran Li

doi:10.15918/j.tbit1001-0645.2016.05.017

Oil well data lossless compression based on taylor series estimating

Ying Tao Ding, Xin Chen, Jian Yan Liu, Yi Ran Li

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

A lossless compression algorithm applied on the oil well data transmission was proposed in this paper. Taylor series expansion was used to fit the curve of the oil well data, then the backward estimation was used for data processing. The lossless compression was realized by transmitting the fitting estimation error and initial sequence. From the simulation results, data compression ratio is up to 25%~40% with a low time-space complexity. Compared with other typical coding, like Huffman coding and LZW coding and Delta coding, this compression ratio has 20% advanced. Based on the verification of the actual oilfield RTU, this design can significantly decrease the burden of the data-transmitting net to 45%.

Original language	English
Pages (from-to)	530-534
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	36
Issue number	5
DOIs	https://doi.org/10.15918/j.tbit1001-0645.2016.05.017
Publication status	Published - 1 May 2016

Keywords

Backward estimating
Lossless compression
Oil well data
Power function fitting
Taylor series

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10.15918/j.tbit1001-0645.2016.05.017

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title = "Oil well data lossless compression based on taylor series estimating",

abstract = "A lossless compression algorithm applied on the oil well data transmission was proposed in this paper. Taylor series expansion was used to fit the curve of the oil well data, then the backward estimation was used for data processing. The lossless compression was realized by transmitting the fitting estimation error and initial sequence. From the simulation results, data compression ratio is up to 25%~40% with a low time-space complexity. Compared with other typical coding, like Huffman coding and LZW coding and Delta coding, this compression ratio has 20% advanced. Based on the verification of the actual oilfield RTU, this design can significantly decrease the burden of the data-transmitting net to 45%.",

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T1 - Oil well data lossless compression based on taylor series estimating

AU - Ding, Ying Tao

AU - Chen, Xin

AU - Liu, Jian Yan

AU - Li, Yi Ran

PY - 2016/5/1

Y1 - 2016/5/1

N2 - A lossless compression algorithm applied on the oil well data transmission was proposed in this paper. Taylor series expansion was used to fit the curve of the oil well data, then the backward estimation was used for data processing. The lossless compression was realized by transmitting the fitting estimation error and initial sequence. From the simulation results, data compression ratio is up to 25%~40% with a low time-space complexity. Compared with other typical coding, like Huffman coding and LZW coding and Delta coding, this compression ratio has 20% advanced. Based on the verification of the actual oilfield RTU, this design can significantly decrease the burden of the data-transmitting net to 45%.

AB - A lossless compression algorithm applied on the oil well data transmission was proposed in this paper. Taylor series expansion was used to fit the curve of the oil well data, then the backward estimation was used for data processing. The lossless compression was realized by transmitting the fitting estimation error and initial sequence. From the simulation results, data compression ratio is up to 25%~40% with a low time-space complexity. Compared with other typical coding, like Huffman coding and LZW coding and Delta coding, this compression ratio has 20% advanced. Based on the verification of the actual oilfield RTU, this design can significantly decrease the burden of the data-transmitting net to 45%.

KW - Backward estimating

KW - Lossless compression

KW - Oil well data

KW - Power function fitting

KW - Taylor series

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Oil well data lossless compression based on taylor series estimating

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