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SPE Russian Petroleum Technology Conference - Decision Support System for Tight Oil Fields Development Achimov Deposits and Their Analogues Using Machine Learning Algorithms by Fedorov, Aleksei Eduardovich; Povalyaev, Andrey Aleksandrovich; Suleymanov, Bulat Ildarovich; Dilmuhametov, Ilshat Rashitovich; Sergeychev, Andrey Valerievich is a scholarly article available to read on EtoBox.

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## Abstract The aim of this work is to develop an approach to multivariate optimization of development systems for tight oil reservoirs of the Achimov formation, where large volumes of drilling of RN-Yuganskneftegaz LLC are currently concentrated on. The approach described in the paper is an integral part of the corporate module "Decision Support System for drilling out new sections of tight oil reservoirs", which allows making quick design decisions for new drilling sites of target objects. This work discusses the main parts of the integrated solution of this system that will be embedded into corporate software. Also, the description of the global approach and obtained results are presented. The main idea of this project is based on automatic assignment of the prospective development zone to an existing cluster-analog, based on well logs response in exploration wells. Following this interpretation, the potential performance of various development systems is evaluated and the optimal one is selected. Within the framework of these projects the following tasks were solved: Wells clustering in Achimov deposits and their analogs. The geological heterogeneity and reservoir connectivity

Author

Fedorov, Aleksei Eduardovich; Povalyaev, Andrey Aleksandrovich; Suleymanov, Bulat Ildarovich; Dilmuhametov, Ilshat Rashitovich; Sergeychev, Andrey Valerievich

Publisher

Society of Petroleum Engineers

Published

2020

Language

EN