BI Dashboarding Application in Reservoir Simulation

K. Wang, Wadha Mubarak Al Araimi
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引用次数: 1

Abstract

A Business Intelligence (BI) tool is a type of software that is used to gather, process, analyze and visualize a large volume of data, whether it is historical data, live data or forecasting data for the future. The objective of implementing BI tool is to create interactive reports, generate actionable business insights, and to simplify / accelerate the decision-making process. Depending on the size and the maturity of their fields, reservoir engineers often have to deal with a tremendous quantity of data from various categories such as simulation input or output, within challenging timelines. It is not uncommon that simulation REs spend the majority of their time in data pre/post-processing, grouping, filtration and setting up visualization templates, before being able to finally perform some value-adding results analysis and eventually improve the model forecasts. This paper focus on the applications of dashboarding in reservoir engineering and simulation work using a popular BI software (Spotfire®) that is outperforming in many ways some industry-standard software, with objective of promoting the BI dashboarding culture within reservoir engineer population. Depending on the purpose, various types of dashboard could be built, which allow RE users to better discover patterns and unveil the real meaning behind the data. In this paper, three templates (including history matching quantitative assessment, scenario comparator and PVT data QC) currently adopted by Abu Dhabi National Oil Company (ADNOC) Onshore asset are illustrated. Benchmarking against some conventional industry-standard tools is also performed to highlight their added-value. As a result, in the context of a 2G & R integrated model review for a multi-billion-barrels reservoir, some concrete examples focusing on BI dashboarding assisted well-by-well history match is illustrated, which showcases how simulation REs could boost their daily work efficiency and create added value to the organization.
BI dashboard在油藏模拟中的应用
商业智能(BI)工具是一种用于收集、处理、分析和可视化大量数据的软件,无论是历史数据、实时数据还是未来预测数据。实现BI工具的目标是创建交互式报告,生成可操作的业务见解,并简化/加速决策过程。根据油田的规模和成熟度,油藏工程师通常必须在极具挑战性的时间内处理来自不同类别的大量数据,例如模拟输入或输出。在能够最终执行一些增值结果分析并最终改进模型预测之前,模拟REs将大部分时间花在数据预处理/后处理、分组、过滤和设置可视化模板上的情况并不少见。本文重点介绍了仪表板在油藏工程和模拟工作中的应用,使用了一种流行的BI软件(Spotfire®),该软件在许多方面都优于一些行业标准软件,目的是在油藏工程师群体中推广BI仪表板文化。根据不同的目的,可以构建各种类型的仪表板,这允许RE用户更好地发现模式并揭示数据背后的真正含义。本文介绍了阿布扎比国家石油公司(ADNOC)陆上资产目前采用的三种模板(历史匹配定量评估、情景比较器和PVT数据QC)。还对一些传统的行业标准工具进行基准测试,以突出它们的附加价值。因此,在对数十亿桶油藏进行2G & R集成模型评估的背景下,举例说明了一些专注于BI仪表板辅助的井间历史匹配的具体示例,展示了模拟REs如何提高他们的日常工作效率并为组织创造附加值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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