通过综合数据分析弥合差距,增强海上大型棕地的常规数据采集

Wenyang Zhao, Ahmed Khaleefa Al-Neaimi, O. Saif, A. Abed
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引用次数: 1

摘要

油藏管理是一个数据驱动的过程,其目标是实现最佳的最终采收率。正确理解井和油藏的动态是至关重要的,而这只能基于所获得的数据来建立。由于陈旧的控制系统、可访问性和工作流程,棕地的数据采集一直是一个重大挑战。每日井况变化是常规配置、井况分析、模拟模型更新以及开发计划所需的关键数据之一。在目前巨大的海上棕地中,获取的数据主要有两种,一种是由作业者手动测量,另一种是通过可用的SCADA系统自动记录数据。根据历史生产数据和油藏监测数据进行了全面的数据分析,以发现差距并确定未来改进的机会。从人工和自动获取的数据中观察到每日井变化数据的差距。它主要分为两大类:数据不准确和数据缺失。不准确的主要原因是换井事件类型使用不当、数据采集时间不准确以及SCADA系统故障。缺失的数据包括人工测量记录的丢失和SCADA数据利用不足。本文给出了所有这些发现的实际例子,并提出了一种改进数据采集过程的工作流程。简洁明确的工作流是解决硬件和人力限制的最有效方法之一。日常生产事件的重要性怎么强调都不为过。为了实现良好的油藏管理,保持可持续性,并确保最佳的采收率,弥合已发现的差距的具体行动至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of Routine Data Acquisition in a Giant Offshore Brownfield by Bridging Gaps Identified Through Comprehensive Data Analysis
Reservoir management is a data driven process with an objective to achieve an optimum ultimate oil recovery. It is fundamental to obtain a proper understanding of well and reservoir performance, which can only be built based on the acquired data. Data acquisition in brownfield has been a significant challenge due to the obsolete control system, accessibility and workflows. Daily well changes is one of the key pieces of data required in routine allocation, well performance analysis, as well as simulation model updates and hence development plans. There are two major types of acquired data in the presented giant offshore brownfield, which are manually measured by operators and automatically recorded data through available SCADA system. A comprehensive data analysis has been conducted based on historical production data and reservoir surveillance data to spot the gaps and identify the opportunities for future improvement. Gaps in daily well changes data have been observed from both manually and automatically acquired data. It has been summarized into two main categories, which are data inaccurate and data missing. The inaccuracies are mainly from improper use of well change event types, inaccurate timing of data acquisition and malfunctioning of SCADA systems. Missing data includes loss of manual measurement records and insufficient utilization of SCADA data. The paper presents real examples of all these findings and a proposed workflow to enhance the data acquisition process. The concise and explicit workflow is one of the most efficient approach to tackle the hardware and manpower limitations. The importance of daily production events could not be over emphasized. Specific actions to bridge the identified gaps are crucial to achieve a sound reservoir management, maintain the sustainability, and ensure an optimum oil recovery.
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