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Research On Key Technologies Of Reservoir Life Cycle Big Data Management

Posted on:2021-10-05Degree:MasterType:Thesis
Country:ChinaCandidate:A W W K ReFull Text:PDF
GTID:2481306563980869Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Reservoir life cycle refers to all operations and data of an oil field from exploration,production,processing,storage and transportation to sale.With the deepening of oilfield long-term exploitation and water injection development,high water-consumption layers of ultra-high water cut oilfields continue to develop,resulting in low oilfield extraction efficiency,which is not conducive to improving crude oil recovery and greatly increasing costs.Therefore,based on the entire process of the reservoir life cycle,it is of great significance for my country’s petroleum industry to study how to improve the development of high water-consuming reservoirs and increase oilfield recovery.Aiming at the problems of high development of water-consuming layers in oilfields and low production efficiency,this paper takes the historical data of Gudong Oilfield as the research object and launches the following studies:(1)Analyzed the business flow and data flow of the life cycle of the high waterconsuming layer reservoir.Using the business-oriented method,the construction process of the ontology in the life cycle domain of the high water-consuming layer reservoir was detailed,and the ontology visualization was displayed.(2)Drawing on the division rules of typical data life cycle models,the planning,collection,storage,analysis,and application of life cycle data of high water consumption reservoirs are analyzed,and a data management model is established to achieve dynamic and integration Data management tasks,the data was analyzed and tracked throughout.(3)In order to achieve land management in the life cycle data management,identification and plugging of high water consumption reservoirs,the main functions of the previous research have been implemented,and the life cycle of high water consumption layers has been designed and developed using the SSM framework.Big data management and application platform.The research results of this paper have achieved certain results in the practical application of the treatment of high water-consuming layers in Gudong Oilfield,which provides effective auxiliary decision-making for the intelligent identification of high water-consuming layers,reduces the operating cost of the oil field,and improves recovery ratio to a certain extent.
Keywords/Search Tags:Life cycle management, High water consumption layer, Ontology, Big data management
PDF Full Text Request
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