油田管理中的智能化技术

Mustafa Vatankhah, Kanan Talibli Mustafa Vatankhah, Kanan Talibli
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引用次数: 0

摘要

这项工作的目标是创造新的策略,并利用人工智能技术加强对油井和油田的控制。知识的进步要求实施智能技术,以创建统一的科技油田空间为目标。复杂工艺系统运行模式优化方法基于专家知识的决策支持系统;对智能系统接口和模块的统一要求,以及知识的表示和存储方式,包括分布式知识库架构;其中包括数学和软件支持。在此基础上建立的先进智能技术和工具可用于修改目标实现程序。详细介绍了在各个层面实施所需的适用人工智能工具的关键特征,以及建议的三层智能油田控制系统,以确保石油产量和设备运行的优化。本文提出的思想和建议可为今后开展更多的智能井和智能油田的实际研究和建设提供一个跳板。关键词:智能油田,石油,生产,人工智能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INTELLECTUAL TECHNOLOGIES IN THE MANAGEMENT OF OIL FIELDS
The goal of this effort is to create new strategies and enhance the control over oil-producing wells and an oilfield using artificial intelligence techniques. The advancement of knowledge necessitates the implementation of intelligent technologies with the objective of creating a unified scientific and technological oilfield space. Methods for optimizing operation modes for complex technological systems; expert knowledge-based decision-support systems; unified requirements for intelligent system interfaces and modules, as well as means to represent and store knowledge, including distributed knowledge base architectures; and mathematical and software support are among these. Advanced intelligent technologies and tools built on them may be used to modify goal-attainment procedures. The key characteristics of the applicable artificial intelligence tools that are necessary for implementation at all levels are detailed, along with a suggested three-tiered system of intelligent oil field control that assures optimization of oil output and the operation of equipment. The idea and the suggestions provided in the study can serve as a springboard for more investigation and the construction of actual intelligent wells and intelligent oilfields. Keywords: intelligent oilfield, oil, production, artificial intelligence
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