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Construction of Texture Feature Profiles Using Whole Core Images

  • Analysis and Synthesis of Signals and Images
  • Published:
Optoelectronics, Instrumentation and Data Processing Aims and scope

Abstract

Studying images of a whole core (a sample of rock extracted from a well) is in demand in modern geophysics. The subject area determines the specifics of core image processing and the form of presentation of the results. A common way to represent well data is by depth-ordered measurement values. Core samples are also ordered by depth, and sample images are a collection of individual photographs or tomographic scans, often without data at some depths. A typical image of one core fragment contains a meter-long section of rock. In practice, it is often necessary to evaluate the characteristics of centimeter intervals. An approach to creating an ensemble of textural features of core images presented as depth-ordered profiles is proposed. The results can be used in conjunction with other geological and geophysical data.

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This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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  1. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), 115409, Moscow, Russia

    D. O. Makienko

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  1. D. O. Makienko
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Correspondence to D. O. Makienko.

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Translated by I. Obrezanova

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Makienko, D.O. Construction of Texture Feature Profiles Using Whole Core Images. Optoelectron.Instrument.Proc. 59, 541–550 (2023). https://doi.org/10.3103/S8756699023050060

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