Multi-source and multi-modal data fusion technology and its prospect in oil and gas well engineering
With the advancement of digital and intelligent construction of oil and gas fields,the volume of data increases rapidly,which makes the traditional data fusion methods fail to meet the utilization demand of multi-source and multi-modal data in the domain of oil and gas well engineering.This paper illustrates the characteristics of multi-source,multi-modal,and multi-domain data from the perspective of oil and gas well engineering.Then,the application scenarios,advantages,and disadvantages of different types of data fusion are analyzed systematically,and the key technologies and current challenges to data fusion are mainly discussed.Finally,the technical challenges and the corresponding solving ideas are described based on the fusion needs of spatial scale,temporal scale,boundary information and fuzzy information.And the following research results are obtained.First,the data in the domain of oil and gas well engineering have the characteristics of multiple sources,multiple modals and multiple domains,which make data analysis extremely complicated and rich.Second,the data fusion process is divided step by step from the perspective of entire fusion,combined with the ultimate objective,which can improve the performability of fusion process.Third,during the data application in the oil and gas well engineering industry,attention shall be always paid to the needs of actual application.It is necessary to promote the development of data fusion technologies by enhancing data integration,constructing fusion models and developing high-performance fusion architectures and adaptive fusion methods,so as to cope with the increasingly complex data environments and business challenges.In conclusion,as an interdisciplinary and cross-domain research issue,data fusion necessitates innovative approaches in both depth and breadth to enhance the effective data utilization in the domain of oil and gas well engineering,which is of great guidance and significance for facilitating the digitization and intelligence of oil and gas well engineering.
Data characteristicsData fusionData integrationFusion strategyWell engineeringOil and gas field digitization
万方数据
维普
