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METHODS OF AUTOMATION THE PROCESS OF DETAILED CORRELATION OF WELL SECTIONS WITH THE USE OF MACHINE LEARNING

Timur Murtazin

First published: 2019-06-20https://doi.org/10.5593/sgem2019/1.1/s01.038View metrics

Abstract

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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Publication details

Title
METHODS OF AUTOMATION THE PROCESS OF DETAILED CORRELATION OF WELL SECTIONS WITH THE USE OF MACHINE LEARNING
Authors
Timur Murtazin
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings19th, Science and Technologies in Geology, Exploration And Mining
Publisher
STEF92 Technology
Year
2019
Pages
311-318
SWS Citekey
Murtazin20191311318
ISSN
1314-2704
ISBN
978-619-7408-76-8
Language
en
Publication type
Conference Paper
Keywords
detailed correlationmachine learninggeological model
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