The paper describes methods of studying the texture properties of rocks from photographs of a whole core using variograms and matrices of co-occurrence. The practical goal of our research is to obtain curves based on images of rocks; for example, core photographs, microresistivity formation images (FMI), and X-ray computerized tomography (CT), which make it possible to segment images depending on the difference of textural characteristics of different areas of the image. Such texture attributes—separately or along with color information—can be used in the tasks of automatic lithotyping, as well as in modeling the petrophysical properties of rocks. Our practical experience in building predictive models from core photographs has shown that the use of versatile information improves the quality of modeling. In some cases, the classification of lithotypes and the prediction of reservoir properties is difficult and leads to erroneous results if we do not use all the available information. In practice, UV images of the core are not always available. There are also daylight core photos, when the color characteristics are not very informative. In such cases, including imaging types such as X-ray CT, texture attributes can be of great help in predictive model building
| Autor: | I.A. Seleznev, D.O. Makienko, V.V. Abashkin, A.A. Chertova, A.F. Samokhvalov |
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| Rok vydání: | 2021 |
| Zdroj: | Geomodel 2021. |
| Databáze: | OpenAIRE |
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