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An Online Piecewise Linear Representation Method for Hydraulic Fracturing Time Series

  • INNOVATIVE TECHNOLOGIES OF OIL AND GAS
  • Published:
Chemistry and Technology of Fuels and Oils Aims and scope

Characteristic problems of data collection in the process of fracturing operations are due to high frequency of data collection and complex downhole operating environment. In order to compensate noise and fluctuations in the fracturing data, we propose to apply an online piecewise linear representation method for hydraulic fracturing time series to re-describe the original sequence. First, the unique engineering characteristics of start and stop sanding in fracturing scenarios are combined, integrating the fitting errors to segment the sliding window; second, a mechanism of online optimization of the fitting form is proposed for adjacent fitting line segments with similar trends. When optimization is performed, the degree of optimization is calculated using the trend factor and the vertical distance factor. Finally, the original series is replaced by the fitted line segment. Based on actual fracturing data, we experimentally compare a proposed method with a variety of benchmark methods. The results show that thу developed method can retain important information of the original sequence to the greatest extent while coarse-graining the original sequence. Applying the linear representation method of the fracturing data, the computing time of the upper-level task can be further reduced and the task performance improved.

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Authors and Affiliations

  1. School of Computer Science, Southwest Petroleum University, Chengdu, China

    Dan Deng & Bo Li

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  1. Dan Deng
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  2. Bo Li
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Correspondence to Bo Li.

Additional information

Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 2, pp. 87–93 March– April, 2022.

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Deng, D., Li, B. An Online Piecewise Linear Representation Method for Hydraulic Fracturing Time Series. Chem Technol Fuels Oils 58, 391–402 (2022). https://doi.org/10.1007/s10553-022-01396-2

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  • DOI: https://doi.org/10.1007/s10553-022-01396-2

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