Adaptive Approach for Reservoir Modeling Reduces Project Time, Improves Collaboration

C. Carpenter
{"title":"Adaptive Approach for Reservoir Modeling Reduces Project Time, Improves Collaboration","authors":"C. Carpenter","doi":"10.2118/0724-0071-jpt","DOIUrl":null,"url":null,"abstract":"\n \n This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 23935, “Breaking the Chain: Novel Use of Adaptive Model Approach for Reservoir Modeling Reduces Time Duration of Project and Improves Collaboration,” by Anthony R. Thompson, SPE, and Cesar E. Zerpa Bolivar, SPE, Saudi Aramco. The paper has not been peer reviewed. Copyright 2024 International Petroleum Technology Conference.\n \n \n \n The complete paper details how the reservoir modeling workflow can be accelerated, and uncertainty reduced, even for challenging greenfield prospects by constructing multiple small fit-for-purpose integrated adaptive models instead of one all-encompassing model. This workflow reduces the number of items on the critical path while simultaneously enabling static and dynamic data to be integrated before the static model is finalized. In addition, this approach enables new ideas to be evaluated more rapidly without affecting the critical path of the project.\n \n \n \n Adaptive models are constructed to evaluate a single parameter, although this does not preclude an adaptive model being used to answer more than one question simultaneously. Critical to the successful use of adaptive models is the fact that they can be constructed quickly. This enables the various inputs received to be assessed and quality-controlled within the static and dynamic models the moment the input or interpretation becomes available.\n The construction of adaptive models normally is best achieved through the construction of a workflow in the static modeling package. Initially, the workflow may only consist of the construction of a grid in which to start to place wells. As data become available and are quality-controlled into the model, in most cases, this can be included into the workflow, enabling more constraints to be applied to the subsequent modeling framework.\n When the adaptive model is being simulated dynamically, it is critical that the model runs quickly. The use of a sector model can be considered for greenfields because the history-matching parameters before production starts are limited to the vicinity of the well. Full-field models are only required when an event occurs across the whole of the reservoir.\n \n \n \n In contrast to the classical approach to reservoir modeling, which uses a chain-type approach, the use of adaptive models brings components together in the sequence of work completion. This means that the various components of the model can be competed when the resource or team member is available. Thus, until very near the end, the project is unlikely to be waiting on the input of one person.\n","PeriodicalId":16720,"journal":{"name":"Journal of Petroleum Technology","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Petroleum Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/0724-0071-jpt","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper IPTC 23935, “Breaking the Chain: Novel Use of Adaptive Model Approach for Reservoir Modeling Reduces Time Duration of Project and Improves Collaboration,” by Anthony R. Thompson, SPE, and Cesar E. Zerpa Bolivar, SPE, Saudi Aramco. The paper has not been peer reviewed. Copyright 2024 International Petroleum Technology Conference. The complete paper details how the reservoir modeling workflow can be accelerated, and uncertainty reduced, even for challenging greenfield prospects by constructing multiple small fit-for-purpose integrated adaptive models instead of one all-encompassing model. This workflow reduces the number of items on the critical path while simultaneously enabling static and dynamic data to be integrated before the static model is finalized. In addition, this approach enables new ideas to be evaluated more rapidly without affecting the critical path of the project. Adaptive models are constructed to evaluate a single parameter, although this does not preclude an adaptive model being used to answer more than one question simultaneously. Critical to the successful use of adaptive models is the fact that they can be constructed quickly. This enables the various inputs received to be assessed and quality-controlled within the static and dynamic models the moment the input or interpretation becomes available. The construction of adaptive models normally is best achieved through the construction of a workflow in the static modeling package. Initially, the workflow may only consist of the construction of a grid in which to start to place wells. As data become available and are quality-controlled into the model, in most cases, this can be included into the workflow, enabling more constraints to be applied to the subsequent modeling framework. When the adaptive model is being simulated dynamically, it is critical that the model runs quickly. The use of a sector model can be considered for greenfields because the history-matching parameters before production starts are limited to the vicinity of the well. Full-field models are only required when an event occurs across the whole of the reservoir. In contrast to the classical approach to reservoir modeling, which uses a chain-type approach, the use of adaptive models brings components together in the sequence of work completion. This means that the various components of the model can be competed when the resource or team member is available. Thus, until very near the end, the project is unlikely to be waiting on the input of one person.
水库建模的自适应方法缩短了项目时间,加强了合作
本文由 JPT 技术编辑 Chris Carpenter 撰写,收录了 IPTC 23935 号论文 "Breaking the Chain:沙特阿美公司的 Anthony R. Thompson(SPE)和 Cesar E. Zerpa Bolivar(SPE)撰写的论文 "打破链条:自适应模型方法在储层建模中的新应用缩短了项目时间并改善了合作"。该论文未经同行评审。版权归 2024 年国际石油技术大会所有。 整篇论文详细介绍了如何通过构建多个小型适用集成自适应模型,而不是一个包罗万象的模型,来加快储层建模工作流程,并减少不确定性,即使是对于具有挑战性的绿地勘探区也是如此。这种工作流程减少了关键路径上的项目数量,同时能够在静态模型最终确定之前整合静态和动态数据。此外,这种方法还能在不影响项目关键路径的情况下更快地评估新创意。 自适应模型的构建是为了评估单一参数,但这并不排除使用自适应模型同时回答多个问题。成功使用自适应模型的关键在于它们可以快速构建。这样,在获得输入或解释的那一刻,就可以在静态和动态模型中对收到的各种输入进行评估和质量控制。构建自适应模型的最佳方式通常是在静态建模软件包中构建一个工作流程。起初,工作流程可能只包括构建一个网格,在网格中开始放置油井。随着数据的获得和模型质量的控制,在大多数情况下,可以将其纳入工作流程,从而在随后的建模框架中应用更多的约束条件。在对自适应模型进行动态模拟时,模型的快速运行至关重要。绿油田可以考虑使用扇形模型,因为生产开始前的历史匹配参数仅限于油井附近。只有在整个油藏发生事件时,才需要使用全油田模型。 传统的油藏建模方法采用的是链式方法,与之相比,自适应模型的使用将各组成部分按照工作完成的顺序整合在一起。这就意味着,当资源或团队成员可用时,模型的各个组成部分就可以参与竞争。因此,在项目接近尾声之前,不可能只靠一个人的投入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.50
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信