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Data Management in Reservoir Simulation

机译:储层模拟中的数据管理

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摘要

Data from a wide variety of sources are required for reservoir simulation. Simulation itself produces large quantities of data. Yet, good data management practices for reservoir simulation data are typically neither well-understood nor widely investigated. This paper presents a specific architecture to manage reservoir simulation data, discusses experiences from six years of global use, explains adjustments to support changing workflows and outlines challenges that lie ahead. The architecture consists of a Database Management System (DBMS) and files in managed file directories, called Reservoir Input Output System (RIOS). All simulation input data and results are maintained by a Data Management System (DMS). The reservoir simulator reads input files written from the DBMS to RIOS and writes results to files in RIOS. DBMS, RIOS and integrated management tools (DMS) make up the data management environment. The environment has been in use inside ExxonMobil since late 2000 and now supports close to 500 users (85% of reservoir engineers). There are over 30 individual databases containing 2TB of online data and about 6TB of online RIOS data. The environment itself introduces some additional work. Support staff is required for maintenance of databases, RIOS areas and problem resolution. Direct user manipulation of data is not permitted and additional tools are required to access and interpret data. The environment provides many benefits. While it insures data integrity, security and consistency, it also automatically updates defaults, limits, associations, types, etc. This allows running of older simulations and generation of aggregate statistics and usage audit trails.The architecture and experiences presented in this paper may be unique in the industry. The DMS was designed, developed and deployed over a ten year period. It is a successful software story and is viewed, along with the simulator, as a key enabling technology for success with reservoir simulation within ExxonMobil.
机译:水库模拟需要来自各种来源的数据。模拟本身产生大量数据。然而,储层模拟数据的良好数据管理实践通常既不是良好的理解也不广泛调查。本文介绍了管理储层模拟数据的特定架构,讨论了六年全球使用的经验,解释了支持更改工作流程的调整,并概述了未来的挑战。该架构由托管文件目录中的数据库管理系统(DBMS)和文件组成,称为库输入输出系统(RIOS)。所有模拟输入数据和结果都由数据管理系统(DMS)维护。储库模拟器读取从DBMS编写的输入文件到RIOS,并将结果写入RIOS中的文件。 DBMS,RIOS和集成管理工具(DMS)构成数据管理环境。自2000年末以来,环境已经在埃克森美孚内部使用,现在支持靠近500个用户(85%的水库工程师)。有超过30个包含2TB的在线数据和大约6TB的在线RIOS数据的数据库。环境本身介绍了一些额外的工作。支持工作人员维护数据库,RIOS领域和问题解决方案。不允许直接用户操作数据,并且需要附加工具来访问和解释数据。环境提供了许多好处。虽然它确保了数据完整性,安全性和一致性,但它也会自动更新默认值,限制,关联,类型等。这允许运行旧的模拟和生成聚合统计和使用审计跟踪。本文中提出的架构和经验可能是在行业中独特。 DMS设计,开发和部署了十年。它是一个成功的软件故事,并与模拟器一起观看,作为exxonmobil中的储层模拟成功的关键能够实现技术。

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