K. Kaiser, D. Criddle, J. Colleran, S. Loutit, W. Sumner
{"title":"Well Location Optimisation through Use of Seismic Attributes, on the Britannia Field, UK North Sea","authors":"K. Kaiser, D. Criddle, J. Colleran, S. Loutit, W. Sumner","doi":"10.3997/2214-4609-pdb.3.p271","DOIUrl":null,"url":null,"abstract":"P271 WELL LOCATION OPTIMISATION THROUGH USE OF SEISMIC ATTRIBUTES ON THE BRITANNIA FIELD UK NORTH SEA Summary 1 Britannia field seismic attributes now allow better well placement through improved reservoir characterisation and identification of drilling hazards. This is mainly due to greatly improved seismic data quality through the reprocessing of an old survey and the acquisition of a new one. In addition reservoir property prediction through use of seismic attributes has the potential to yield a significant number of new well locations in various areas of the field. Prediction accuracy will be put to the test with a well to","PeriodicalId":110744,"journal":{"name":"66th EAGE Conference & Exhibition","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"66th EAGE Conference & Exhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609-pdb.3.p271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
P271 WELL LOCATION OPTIMISATION THROUGH USE OF SEISMIC ATTRIBUTES ON THE BRITANNIA FIELD UK NORTH SEA Summary 1 Britannia field seismic attributes now allow better well placement through improved reservoir characterisation and identification of drilling hazards. This is mainly due to greatly improved seismic data quality through the reprocessing of an old survey and the acquisition of a new one. In addition reservoir property prediction through use of seismic attributes has the potential to yield a significant number of new well locations in various areas of the field. Prediction accuracy will be put to the test with a well to