Huadong Wei, Wei Huang, Tongzhou Ji, Shengli Wang, Rui Liu, Guihong Xu, Mengcheng Shu, Yun Cai, Shenshen Deng
{"title":"基于 PCA 法的地震衍射波提取方法及其应用","authors":"Huadong Wei, Wei Huang, Tongzhou Ji, Shengli Wang, Rui Liu, Guihong Xu, Mengcheng Shu, Yun Cai, Shenshen Deng","doi":"10.1007/s10553-024-01647-4","DOIUrl":null,"url":null,"abstract":"<p>This paper addresses the challenge of accurately describing the boundary of deep cavern-type reservoirs. A method is developed to extract diffraction information from the cavern and its boundaries from full wavefield seismic data using PCA wavefield separation technology. The paper describes a method for extracting diffraction information based on post-stack seismic data, and demonstrates the validity of this method in identifying cavern’s boundaries via forward modeling. Subsequently, the method is applied to actual seismic data to extract diffraction information from deep caverns. By separating wavefield information at different scales, the extracted diffraction information can effectively identify the characteristics of cavernous reservoirs and their boundaries. It is verified by examples that the diffraction wave information separation method can provide a more accurate description of the distribution of deep cavern-type reservoirs, which can provide a basis for predicting this type of reservoir.</p>","PeriodicalId":9908,"journal":{"name":"Chemistry and Technology of Fuels and Oils","volume":"24 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Method of Seismic Diffraction Wave Extraction Based on PCA Method and its Application\",\"authors\":\"Huadong Wei, Wei Huang, Tongzhou Ji, Shengli Wang, Rui Liu, Guihong Xu, Mengcheng Shu, Yun Cai, Shenshen Deng\",\"doi\":\"10.1007/s10553-024-01647-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper addresses the challenge of accurately describing the boundary of deep cavern-type reservoirs. A method is developed to extract diffraction information from the cavern and its boundaries from full wavefield seismic data using PCA wavefield separation technology. The paper describes a method for extracting diffraction information based on post-stack seismic data, and demonstrates the validity of this method in identifying cavern’s boundaries via forward modeling. Subsequently, the method is applied to actual seismic data to extract diffraction information from deep caverns. By separating wavefield information at different scales, the extracted diffraction information can effectively identify the characteristics of cavernous reservoirs and their boundaries. It is verified by examples that the diffraction wave information separation method can provide a more accurate description of the distribution of deep cavern-type reservoirs, which can provide a basis for predicting this type of reservoir.</p>\",\"PeriodicalId\":9908,\"journal\":{\"name\":\"Chemistry and Technology of Fuels and Oils\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-02-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemistry and Technology of Fuels and Oils\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s10553-024-01647-4\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemistry and Technology of Fuels and Oils","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s10553-024-01647-4","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
The Method of Seismic Diffraction Wave Extraction Based on PCA Method and its Application
This paper addresses the challenge of accurately describing the boundary of deep cavern-type reservoirs. A method is developed to extract diffraction information from the cavern and its boundaries from full wavefield seismic data using PCA wavefield separation technology. The paper describes a method for extracting diffraction information based on post-stack seismic data, and demonstrates the validity of this method in identifying cavern’s boundaries via forward modeling. Subsequently, the method is applied to actual seismic data to extract diffraction information from deep caverns. By separating wavefield information at different scales, the extracted diffraction information can effectively identify the characteristics of cavernous reservoirs and their boundaries. It is verified by examples that the diffraction wave information separation method can provide a more accurate description of the distribution of deep cavern-type reservoirs, which can provide a basis for predicting this type of reservoir.
期刊介绍:
Chemistry and Technology of Fuels and Oils publishes reports on improvements in the processing of petroleum and natural gas and cracking and refining techniques for the production of high-quality fuels, oils, greases, specialty fluids, additives and synthetics. The journal includes timely articles on the demulsification, desalting, and desulfurizing of crude oil; new flow plans for refineries; platforming, isomerization, catalytic reforming, and alkylation processes for obtaining aromatic hydrocarbons and high-octane gasoline; methods of producing ethylene, acetylene, benzene, acids, alcohols, esters, and other compounds from petroleum, as well as hydrogen from natural gas and liquid products.