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High-enthalpy geothermal reservoir model calibration using PEST

机译:利用PEST标定高焓地热储层模型

摘要

The main purpose of this thesis work is focused on the use of PEST (Parameter Estimation) to calibrate numerical models of High Enthalpy Geothermal Reservoirs (HEGR). PEST is a parameter estimation and analysis of the uncertainties of complex numerical models tool, that can be instructed to work with a standalone simulator. So, the T2Well-EWASG was used as coupled wellbore-reservoir simulator for multiphase-multicomponent HEGR. The idea of this thesis work is that the possibility to implement some automation degrees in the wellbore-reservoir model calibration task would improve substantially the Reservoir Engineers work. To become familiar with PEST, it has been necessary a preliminary training to learn how to manage its input files, its keywords, and the utility programs having the function of verifying the correctness and consistency of the created files. Then, one of the examples of PEST manual (which Fortran source code is supplied) was reproduced and analyzed, and subsequently modified. In particular, starting from this example, a simple linear model with two free parameters, some changes have been performed: "fixing" a parameter to inhibit its change during the calibration; reading a more complex model output file respect to the original example; inserting dummy data that should not be processed and instructing PEST to consider only the data of interest; changing the model adding parameters to be calibrated, and including them in the analysis changing the PEST inputs files. Finally, these skills were applied to use PEST with T2Well-EWASG to calibrate a numerical model, relative to a real HEGR, previously calibrated via a trial and error approach in a PhD thesis work. Among the real data used there were also short production-tests done in a geothermal field located in the Dominica Commonwealth.udThe preliminary results show that the PEST-T2Well-EWASG calibration system works fine, and that it is a useful tool that can improve the work of reservoir engineering.
机译:本文工作的主要目的在于使用PEST(参数估计)校准高焓地热储层(HEGR)的数值模型。 PEST是对复杂数值模型工具的不确定性进行参数估计和分析,可以指示其与独立模拟器一起使用。因此,T2Well-EWASG用作多相多组分HEGR的耦合井筒-储层模拟器。本文工作的思想是,在井眼-储层模型校准任务中实现某些自动化程度的可能性将大大改善储层工程师的工作。为了熟悉PEST,必须进行初步培训,以学习如何管理其输入文件,其关键字以及具有验证所创建文件的正确性和一致性的功能的实用程序。然后,对PEST手册的一个示例(提供了Fortran源代码)进行了复制和分析,然后进行了修改。特别地,从该示例开始,使用具有两个自由参数的简单线性模型,已执行了一些更改:“固定”参数以在校准期间禁止其更改;阅读有关原始示例的更复杂的模型输出文件;插入不应处理的伪数据,并指示PEST仅考虑感兴趣的数据;更改模型,添加要校准的参数,并在更改PEST输入文件的分析中包括这些参数。最后,将这些技能应用于将PEST与T2Well-EWASG结合使用以校准相对于实际HEGR的数值模型,该模型先前是在博士学位论文中通过试验和错误方法进行校准的。在使用的实际数据中,还对位于多米尼加联邦的地热田进行了简短的生产测试。 ud初步结果表明,PEST-T2Well-EWASG校准系统运行良好,并且是可以改进的有用工具。水库工程工作。

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  • 作者

    Armani Silvia;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 en
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