人工智能和数据驱动建模在能源生产和营销过程中的应用

J. Ugoyah, Anita Igbine
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引用次数: 0

摘要

随着世界能源需求和经济的快速发展,油气行业需要更快、更准确的决策。人工智能和数据驱动建模是相对较新的领域,尚未在行业中得到广泛应用。人工智能是一项新兴技术,可用于预测事件结果和自动化异常检测过程。研究了人工智能在不同行业的各种应用。本文强调了可以通过数据驱动建模的人工智能应用来改进的重要过程。它还强调了人工智能已经应用的各个行业领域以及可以改进的方法。人工智能和数据驱动的建模有可能提高勘探精度,减少生产停机时间,降低维护成本,降低健康和安全风险。这些信息可以作为油气行业采用人工智能的指导方针。行业定制智能解决方案的趋势将在不断发展的能源行业中更加有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of AI and Data-Driven Modeling in Energy Production and Marketing Processes
Faster and more accurate decisions are what the Oil and Gas industry needs with the world's fast-evolving energy needs and economy. The area of Artificial intelligence and Data-driven modelling is relatively new and has not found popular application in the industry. AI is an emerging technology that can be used to predict event outcomes and automate anomaly-detection processes. The various applications of AI in different industries were researched into. This paper highlighted important processes that can be improved with the application of Artificial Intelligence through data-driven modelling. It also highlights areas in the various industries where AI intelligence is already being applied and ways it can be improved. AI and data-driven modelling has the potential to improve exploration accuracy, reduce production down-time, reduce cost of maintenance, and reduce health and safety risks. This body of information can serve as a guideline for adopting AI in the oil and gas industry. A trend of industry-tailored intelligence solutions would be more effective in the evolving energy industry.
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