基于机器学习算法的基岩棕色油田开发分析

M. Naugolnov, A. Antropov, J. Arsić
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引用次数: 1

摘要

本文的目的是为基岩褐色油田开发分析开辟一条新途径。利用先进的分析工具和机器学习算法,对压力维护系统的未来实现任务进行了分析。该解决方案基于油井动态数据和现场研究的整合,以及对井间相互影响的研究,这是表征压裂产量、井簇和产量预测的一个因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using of Machine Learning Algorithms for Development Analysis of a Brown oil Field Located in The Basement Rocks
Summary The purpose of the work is a new approach to the development analysis of brown oil field, that is located in basement rocks. Analysis is done for the tasks of the future implementation of the pressure maintenance system with the usage of advanced analytics tools and machine learning algorithms. The solution is based on the integration of well performance data and field studies, as well as on the study of the mutual influence of wells as a factor characterizing the fracture throughput, wells clasterisation and production forecast.
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