Application of integration and preliminary analysis of production data in drilling
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1.College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu Sichuan 610059, China;2.College of Energy, Chengdu University of Technology, Chengdu Sichuan 610059, China;3.School of Big Data and Artificial Intelligence, Chengdu Technological University, Chengdu Sichuan 611730, China

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P634;TE242

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    Abstract:

    The production data is an important driving force to promote the development of the drilling industry, and it is also the basis for the future application of artificial intelligence in the drilling industry. At present, all the drilling industry giants, either domestic or abroad, have begun to establish production data collection and analysis platforms. But the data integration and analysis for ordinary drilling production operations have still not attracted attention. The proposed paper takes 21912 data collected from 10 wells in a certain area of the South China Sea with 44 different parameters as an example to show the whole analyze process using production data, which from collection to quantitative analysis. The matrix integration of data in different formats can be realized from the image point sampling algorithm and data complementation algorithm. According to standardization and visualization processing, qualitative analysis of integrated data can be completed, and the law and trend of production data can be clarified. Based on the statistical analysis, correlation analysis and factor analysis, the data characteristic values can be obtained, meanwhile the interrelationship between different parameters can be clarified. Realizing the parameters grouping and dimensionality reduction, the accuracy of further data modelling can be ensured with the reduced modeling complexity.

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History
  • Received:May 28,2021
  • Revised:May 28,2021
  • Adopted:July 17,2021
  • Online: December 06,2021
  • Published: September 01,2021
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