Research On Knowledge Service System Of Reservoir Structure Based On Knowledge Graph

With the advent of the Web3.0 era,knowledge storage media and methods have changed,from the traditional document network to the data network.In recent years,the development and application of the Semantic Web has promoted the rapid development of knowledge graph technology.The application of knowledge graph in the vertical field has received extensive attention,laying a foundation for the representation and sharing of knowledge in various fields.As we all know,knowledge of oil and gas reservoir structures is an important basis for decision-making to achieve precise oil extraction.At present,some knowledge about oil reservoir structures is stored in a relational database in the form of structured data;some is stored in a personal computer in the form of files Medium;some are stored in the expert’s mind.In short,these reservoir knowledge is not fully organized and integrated,resulting in the emergence of "knowledge islands" in the reservoir structure.As a result,oilfield developers cannot share this knowledge.In addition,due to the complexity and particularity of reservoir structure data,high requirements are also placed on the advanced application of knowledge such as the organization,representation,and retrieval of reservoir structure knowledge.With the proposition of the semantic web technology system,coupled with the successful application of knowledge graph technology in related fields,it provides technical guarantee for the unified integration and service of reservoir structure knowledge.Therefore,based on the standard of "Petroleum Chinese Thesaurus" and the related standards of reservoir,this paper analyzes and discusses the construction of knowledge map of reservoir structure and the retrieval and application of knowledge map based on this knowledge map.The work carried out in this article is as follows:1、Through research,the research and application of knowledge graph technology in various fields at home and abroad are summarized and compared.At the same time,the method of transforming the thesaurus into the ontology in each field is studied.Manually built,and rarely combined standards.Therefore,this article deeply studies the main technology and standardized construction of the knowledge graph,as well as the comparative analysis of thesaurus and ontology to determine the automatic feasibility of the conversion of thesaurus into the ontology.2、Through the analysis and research of "Petroleum Chinese Thesaurus",extract the concepts and semantic relations between concepts in the field of reservoir structure to prepare for the construction of the knowledge map model layer in the field of reservoir structure,and The SY/T 6169-1995 standard of the Petroleum and Natural Gas Industry Standard of the People’s Republic of China is studied and summarized to provide standards for the inference module of the subsequent reservoir structure knowledge service system,that is,whenclassifying the reservoir structure,the classification principles and the classification are involved The characteristic parameters of each characteristic.3、Through the previous research on the conversion method of thesaurus to ontology,it was found that the construction method generally uses manual construction,which requires a lot of time and effort in the construction process.Therefore,in order to reduce the loss,this article aims at the automation of thesaurus to ontology The construction algorithm was researched,and the mapping algorithm from labeling thesaurus to ontology OWL was proposed.This algorithm designed the TK model of the labeling thesaurus to realize the processing of the knowledge of the field of oil reservoir structure in "Petroleum Chinese Thesaurus".At the same time,the author was applied The proposed labeling thesaurus to ontology OWL mapping algorithm automatically maps the labeling thesaurus generated by the preprocessing,generates RDF format data for management,and constructs the ontology model of the reservoir structure domain.4、Finally,the architecture of the knowledge service system in the field of reservoir structure is designed.The platform is mainly built using the SSM framework,the ID3 algorithm in the decision tree algorithm is used to realize the classification of knowledge inference results,and the knowledge map in the field of reservoir structure is implemented using d3.js.Drawing,and finally,developed a knowledge service prototype system based on knowledge map in the field of reservoir structure,and realized the standardized representation,retrieval,visualization and other operations of knowledge in the field of reservoir structure.Through the above research,it provides convenience for users who use knowledge of reservoir structure in various fields,and at the same time lays the foundation for the next step of expanding knowledge representation and sharing in the large field of the petroleum industry,and even deeper knowledge mining.