通过自动生产优化实现盈利最大化:改变科威特综合数字油田(KwIDF)数字油田运营的游戏规则

H. AL-Rashidi, K. Ranjan, R. Lara, B. Muhsain, S. Singh, D. Tripathi
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引用次数: 0

摘要

论文概述了校准油井模型和优化油井生产的综合工作流程。自动油井模型管理系统通过从生产数据库获取信息,确保数据的准确性和及时性。同时,油井生产优化流程通过分析实时数据和应用优化技术,确定改进油田开发和生产运营的机会。该系统为工程师提供数据驱动的决策工具,并为优化油井参数提供建议。多种数据源、自动化流程和数据质量控制的整合确保了结果的可靠性。这种自动化方法可提高有效优化机会的识别能力,促进油井性能管理,从而显著提高石油产量,并在油田内做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing Profitability Through Automated Production Optimization: A Game-Changer for Digital Oil Field Operations in Kuwait Integrated Digital Field (KwIDF)
The paper outlines a comprehensive workflow for calibrating well models and optimizing well production. An automated well-model management system ensures data accuracy and timeliness by fetching information from the production database. Simultaneously, the well-production optimization process identifies opportunities for improving field development and production operations by analyzing real-time data and applying optimization techniques. The system empowers engineers with data-driven decision-making tools and provides recommendations for optimizing well parameters. The integration of multiple data sources, automated processes, and data quality control ensures the reliability of results. This automated approach enhances the identification of valid optimization opportunities and facilitates well performance management, leading to significant oil production gains and informed decision-making within the field.
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