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Speed Correction of Electrical Imaging Logging Based on Fuzzy Logic

Published: 28 March 2022 Publication History

Abstract

Depth’ is taken to be the ‘cable depth’ by logging system that is collected at regular depth intervals. Due to the distortion of log measurement caused by cable stretch, irregular motion, and imaging logging tool sticking, serious distortion of logging image occurs, which affects the preparation and acquisition of geological information. Therefore, speed correction is needed to restore the ‘true depth’ of downhole instrument sampling data. In this paper, the motion state of the imaging logging tool is analyzed. Firstly, the Kalman filter model is constructed, and the noise variance of the Kalman filter is corrected in real-time by using a fuzzy logic controller and ‘tool sticking’ identification results, to improve the output accuracy of the system. Through the analysis of logging data, it is found that the method can eliminate the phenomenon of image compression and stretching caused by tool stuck, and restore the subtle characteristics of the formation such as fractures, pores, and bedding, which proves the effectiveness of the technology.

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Vincent Belougne, Olliver Faiver 1996. Real Time Speed Correction of Logging Data. SPWLA 37th Annual Logging Symposium, 6: 16-19.
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F Lai F.Q., Sun J.M., Li G.Y. 2013. Modified Kalman Filter Model-Acceleration Correction Method Based on Sticking Recognition Detection. Journal of China University of Petroleum (Edition of Natural Science), 37(06):36-42.
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EBIMCS '21: Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science
December 2021
539 pages
ISBN:9781450395687
DOI:10.1145/3511716
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 March 2022

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Author Tags

  1. Fuzzy Logic
  2. alman Filter
  3. lectrical Imaging
  4. peed Correction

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Overall Acceptance Rate 143 of 708 submissions, 20%

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