首页> 外文会议>SPE Energy Conference 2014 >Lessons Learned from Production History Matching in Single Cell Numerical Models in an Integrated Asset Model
【24h】

Lessons Learned from Production History Matching in Single Cell Numerical Models in an Integrated Asset Model

机译:从集成资产模型中单个小区数值模型中的生产历史匹配中汲取的经验教训

获取原文

摘要

Integrated Asset Modeling (IAM) approach1 is defined as simultaneously modeling the flow through the reservoir up the wellbore and through a surface network. Reservoir simulation history matching is one of the most complex and time consuming process, however, it ensures that the model developed is useful for forecasting and management decisions. By nature, an Integrated Asset Modeling model can be made up of hundreds of nodes, making it complex and difficult to manage if a proper methodology is not implemented to allow an effective history matching, especially when developing all the components of the IAM model. The purpose of this paper is to share lessons learned from a methodology that allows the development of reservoir models via material balance, proper matching of wellbore models and wellbore tests; calibration of the surface network and ultimately, history matching of an Integrated Asset Model, following rigorous quality assurance and quality check procedures. Issues addressed include: character- ization of the reservoir-wellbore system, knowledge of main drive mechanisms, aquifer uncertainty, tubing flow assessment. The methodology enabled production history matching of 15 producing gas wells; ensuring that the IAM model developed is therefore a reliable forecasting tool. In addition, Simulation run time reduction was achieved by switching from a rate dependent constrained system to a pressure drop dependant system. Production history matching should precede any numerical simulation study, as it provides useful knowledge of the properties and characteristics of the reservoir-wellbore-surface network, leaving little room for adjustments, which constitutes an excellent starting point for numerical models; hence an IAM approach represents basis for the construction and quality check of more rigorous multi cells numerical reservoir simulation models.
机译:集成资产建模(IAM)方法1被定义为同时将流量与井筒和通过表面网络的储层建模。储存器仿真历史匹配是最复杂和耗时的过程之一,但是,它确保开发的模型可用于预测和管理决策。本质上,集成的资产建模模型可以由数百个节点组成,使其复杂且难以管理,如果没有实现适当的方法以允许有效的历史匹配,尤其是在开发IAM模型的所有组件时。本文的目的是分享从一种方法中吸取的经验教训,这些方法可以通过材料平衡,井筒模型和井筒测试的适当匹配来分享储层模型的课程;校准了地面网络,最终,综合资产模型的历史匹配,遵循严格的质量保证和质量检查程序。解决的问题包括:储层井眼系统的特性,主驱动机制的知识,含水层不确定性,管道流量评估。该方法使生产历史匹配为15种生产气井;因此,确保开发的IAM模型是可靠的预测工具。此外,通过从速率相关的约束系统切换到压降依赖性系统,实现了模拟运行时间降低。生产历史匹配应在任何数值模拟研究之前,因为它提供了对储层 - 井筒表面网络的特性和特性的有用知识,留下了小空间的调整空间,这构成了数值模型的出色起点;因此,IAM方法代表了更严格的多电池数值储层模拟模型的构建和质量检查的基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号