Sedimentary basin - A petroleum digital ecosystem

S. Nimmagadda, H. Dreher, A. Noventianto, A. Mustoffa, Parapaty Halley
{"title":"Sedimentary basin - A petroleum digital ecosystem","authors":"S. Nimmagadda, H. Dreher, A. Noventianto, A. Mustoffa, Parapaty Halley","doi":"10.1109/INDIN.2013.6622942","DOIUrl":null,"url":null,"abstract":"Existence of petroleum system and its elements is often narrated for each oil and gas field and for each petroleum-bearing sedimentary basin. Sedimentary basin is an emerging digital ecosystem within a generic petroleum system. On the broader scale, total petroleum system (TPS, where geology has no boundaries) can virtually be envisaged as a digital petroleum ecosystem. The significance of this concept lies in connecting onshore and offshore petroleum subsystems, in a basin (e.g., Indonesian Onshore-Offshore basin, a 19,300 mi2 [50,000 -km2] transition zone), through elements and process attributes and by modeling sub-basins thru contextualization and specification concepts. In this paper, we present an ontology based data warehousing and mining technology in which, conceptualization and contextualization of multiple data dimensions are modeled within a sedimentary basin (e.g., elements and processes of all petroleum systems, existing within basin). In addition to their integration within a data warehouse environment, data mining and visualization of interpretable data views that emerge from petroleum digital ecosystems are made feasible. Multidimensional data warehousing and mining models facilitate an effective interpretation of petroleum ecosystems, minimizing the ambiguities involved during knowledge mapping of geological structure and reservoir qualities - not only for exploration and field development planning, but also for reserve estimations.","PeriodicalId":6312,"journal":{"name":"2013 11th IEEE International Conference on Industrial Informatics (INDIN)","volume":"13 1","pages":"541-546"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 11th IEEE International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2013.6622942","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

Existence of petroleum system and its elements is often narrated for each oil and gas field and for each petroleum-bearing sedimentary basin. Sedimentary basin is an emerging digital ecosystem within a generic petroleum system. On the broader scale, total petroleum system (TPS, where geology has no boundaries) can virtually be envisaged as a digital petroleum ecosystem. The significance of this concept lies in connecting onshore and offshore petroleum subsystems, in a basin (e.g., Indonesian Onshore-Offshore basin, a 19,300 mi2 [50,000 -km2] transition zone), through elements and process attributes and by modeling sub-basins thru contextualization and specification concepts. In this paper, we present an ontology based data warehousing and mining technology in which, conceptualization and contextualization of multiple data dimensions are modeled within a sedimentary basin (e.g., elements and processes of all petroleum systems, existing within basin). In addition to their integration within a data warehouse environment, data mining and visualization of interpretable data views that emerge from petroleum digital ecosystems are made feasible. Multidimensional data warehousing and mining models facilitate an effective interpretation of petroleum ecosystems, minimizing the ambiguities involved during knowledge mapping of geological structure and reservoir qualities - not only for exploration and field development planning, but also for reserve estimations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
沉积盆地——一个石油数字生态系统
对于每个油气田和每个含油气沉积盆地,常常叙述含油气系统及其构成要素的存在。沉积盆地是一般油气系统中新兴的数字生态系统。在更广泛的范围内,整个石油系统(TPS,地质没有边界)实际上可以被设想为一个数字石油生态系统。该概念的意义在于通过元素和过程属性以及通过情境化和规范概念对子盆地进行建模,将盆地(例如印度尼西亚陆上-海上盆地,面积为19300平方公里[50,000平方公里]的过渡区)中的陆上和海上石油子系统连接起来。在本文中,我们提出了一种基于本体的数据仓库和挖掘技术,该技术在沉积盆地内(例如,盆地内存在的所有石油系统的元素和过程)对多个数据维度进行概念化和情境化建模。除了将它们集成到数据仓库环境中,石油数字生态系统中出现的可解释数据视图的数据挖掘和可视化也变得可行。多维数据仓库和采矿模型有助于有效地解释石油生态系统,最大限度地减少地质结构和储层质量知识测绘过程中涉及的模糊性——不仅适用于勘探和油田开发规划,也适用于储量估计。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Assessment of IEC-61499 and CDL for Function Block composition in factory-wide system integration Roll stabilization: A higher order sliding mode approach Analysis and prediction of jitter of internet one-way time-delay for teleoperation systems Remote rendering of industrial HMI applications An intelligent SA-adaptive interface to aid supervisory control of a UAV swarm
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1