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Title: METHODS OF AUTOMATION THE PROCESS OF DETAILED CORRELATION OF WELL SECTIONS WITH THE USE OF MACHINE LEARNING
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METHODS OF AUTOMATION THE PROCESS OF DETAILED CORRELATION OF WELL SECTIONS WITH THE USE OF MACHINE LEARNING
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1314-2704
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English
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19
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1.1
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When constructing a geological model at the stage of 3D grid building, the problem of vertical layering. When modeling is performed on the area with a large number of wells, the process of cross-well correlation of productive strata turns into a very labor consuming stage. To speed up and increase the reliability of the correlation of well sections, the authors proposed an approach to automate this time-consuming process. This approach is based on the use of machine learning algorithms that can reproduce the nonlinear part of the logic of the interwell correlation procedure. In addition to the automatic algorithms, the user friendly interface was created to simplify the procedure of control and editing the results.
As a result, the authors have built a program code including the automatic mode to solve the problem of interwell detailed correlation of productive layers. The proposed solution algorithm was tested on data from one of the Tatarstan Republic oilfields and showed a high degree of convergence with the results obtained by expert. |
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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311-318
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30 June - 6 July, 2019
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website
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cdrom
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4810
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detailed correlation; machine learning; geological model
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