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dc.contributor.authorHao, Xiaoliang
dc.date.accessioned2014-02-06T07:49:41Z
dc.date.available2014-02-06T07:49:41Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/11250/183180
dc.descriptionMaster's thesis in Offshore technologyno_NO
dc.description.abstractThe oil and natural gas, due to its important role in the economic construction society development, are sought vigorously by the Governments and oil enterprises. However, as a fossil energy, oil and gas resources were formed in the harsh environments, its distribution is highly unevenly with serious heterogeneity. In the 1980s, the breakthrough in drilling and completion and upsurge of improved level of reservoir knowledge, like directional wells, horizontal wells, multi-lateral wells, the application of sequence stratigraphy, EOR technology, oil reservoir development has entered a new historical period, providing the possibility to meet the rapid growth in demand for oil and gas. In recent years, the new proven oil and gas reserves are limited, and are mostly distributed in harsh environments, such as the desert, the deep sea and the Arctic environment, the exploration and production activities has an immeasurable impact on the environment. However, the limited resources cannot allow the unlimited mining for the increasingly demand of oil and gas. How to use the existing technology rationally to improve the oil recovery as much as possible becomes a pressing challenge for oil companies. The concept of the digital oilfield and intelligent oilfield, making the construction of oil and gas fields in the complex conditions in the new period ushered in a ray of new dawn. The wildly application of the computer technology in oil industry makes people can conduct a comprehensive analysis of the development of oil and gas fields, and offers the possibility to optimize the production activities. The network-based information communication technology flourishing in 21st century makes the way of people's life and work has undergone enormous changes. The intelligent oilfield is a closed-loop asset management method, can achieve real-time monitoring, real-time data acquisition, real-time interpretation, the implementation of the decision-making and optimization, oil well, oil field and related assets can be linked to each other to co-ordinate the operation and management, and thus the rate effective way and direction to improve oil recovery, especially true in the case of more expensive Injecting. At present, with the progress and mature of the reservoir dynamic monitoring technology, horizontal wells management, and reservoir management technology established based on horizontal wells; the intelligent oilfield improves oil recovery prospects are very clearly. As a complicated system, intelligent oilfield is an organic combination of people, process, and technology. The final objective is to increase the values of assets by managing oil and gas reserves on demand and in real time. In order to achieve this, a mass of data are collected and reported; knowledge and information could sharing in real time; and informed decision must be made timely under a collaborative decision environment. However, this is not an easy job. It needs a revolutionary evolution of oilfield management. This thesis starts with the review and outlook of the world’s and China's energy production and consumption, then try to illustrate the proposal and develop route of the Intelligent Oilfield, and how to build Intelligent Oilfield; based on this, briefly analyze some issues and challenges that exist in the process of build of the Intelligent Oilfield in China offshore oilfield, and try to find some useful and rational information to the building of China offshore Intelligent Oilfield.no_NO
dc.language.isoengno_NO
dc.publisherUniversity of Stavanger, Norwayno_NO
dc.relation.ispartofseriesMasteroppgave/UIS-TN-IKM/2013;
dc.subjectintelligent oilfieldno_NO
dc.subjectenergy consumption and productionno_NO
dc.subjectcollaborative environmentno_NO
dc.subjectwork processno_NO
dc.subjectdata quality controlno_NO
dc.subjectdata miningno_NO
dc.subjectoffshore teknologino_NO
dc.subjectindustrial asset managementno_NO
dc.titleIntelligent oilfield work processes - turning data into effective decision and actionsno_NO
dc.typeMaster thesisno_NO
dc.subject.nsiVDP::Technology: 500::Marine technology: 580::Offshore technology: 581no_NO
dc.source.pagenumber109no_NO


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  • Studentoppgaver (TN-IKM / TN-IMBM) [1213]
    Master- og bacheloroppgaver i Konstruksjoner og materialer / Maskin, bygg og materialteknologi (maskinkonstruksjoner, byggkonstruksjoner og energiteknologi) / Masteroppgaver i Offshore teknologi: industriell teknologi og driftsledelse - Offshore technology: industrial Asset management / Masteroppgaver i Offshoreteknologi : offshore systemer (konstruksjonsteknikk og marin- og undervannsteknologi-subsea technology)

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