Automatic Validation of the Offshore Operators Committee Discharge Model and Application to Predicting Drilling Solids Accumulation on the Sea Floor

Maynard G. Brandsma
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引用次数: 7

Abstract

Discharge models must be validated by comparing their predictions with experimental data. Such comparisons improve user confidence in model predictions. The validation process involves significant work for each case tested and requires tedious labor. This paper describes an automated validation system and its use in validating the offshore operators committee (OOC) Mud and Produced Water Discharge Model. Once the validation system is set up, very little additional work is needed for repeated validations to test the model after changes related to maintenance and development. The validation system provides a complete record of all validation methods, data, and results.

The principle benefits of the automated validation system are: the combined validation tests are completely documented with an HTML report, the tests are easily repeated, the system quickly reveals flaws arising from model maintenance and development activities, the system can be adapted to other numerical models containing standalone executable modules that read and write text files.

The automatic validation system consists of several parts: (1) a hierarchical arrangement of data to segregate individual experiments in separate file system directories; (2) command scripts to run validation tests in each directory (model runs, statistical comparisons of predictions and observations, plots of predictions compared with observations); (3) a top-level script to summarize overall comparison statistics and scatter plots; (4) a report generator to assemble validation results in a linked set of HTML pages with plots; and (5) a tool to compare validations run at different times (e.g., to compare predictions of different versions of the model).

Experiments included in the validation system are summarized briefly. One laboratory and one field experiment concerned with particle deposition on the sea floor were added during the development of the validation system. These cases are described in more detail.

海上作业委员会排放模型的自动验证及其在海底钻井固体堆积预测中的应用
放电模型必须通过将其预测结果与实验数据进行比较来验证。这样的比较提高了用户对模型预测的信心。验证过程涉及每个测试用例的重要工作,并且需要繁琐的劳动。本文介绍了一种自动化验证系统及其在验证海上运营商委员会(OOC)泥浆和采出水排放模型中的应用。一旦建立了验证系统,在与维护和开发相关的更改之后,重复验证以测试模型只需要很少的额外工作。验证系统提供了所有验证方法、数据和结果的完整记录。自动化验证系统的主要优点是:组合验证测试完全记录在HTML报告中,测试很容易重复,系统可以快速发现模型维护和开发活动中出现的缺陷,系统可以适应其他包含独立可执行模块的数值模型,这些模块可以读写文本文件。自动验证系统由几个部分组成:(1)数据的分层排列,将各个实验隔离在单独的文件系统目录中;(2)在每个目录中运行验证测试的命令脚本(模型运行、预测与观测的统计比较、预测与观测的对比图);(3)顶层脚本,汇总总体比较统计和散点图;(4)一个报告生成器,用于将验证结果组装成一组带有图表的链接HTML页面;(5)比较在不同时间运行的验证的工具(例如,比较模型的不同版本的预测)。对验证系统所包含的实验进行了简要总结。在验证系统的开发过程中,增加了一个与海底颗粒沉积有关的实验室和一个现场实验。对这些案例进行了更详细的描述。
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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