{"title":"三维静态建模和油藏特征在油田开发中的应用——以埃及西部沙漠Karam油田Kharita组为例","authors":"Ahmed Bakr, Mohamed Reda, Mohamed Fathy","doi":"10.3997/1365-2397.fb2023089","DOIUrl":null,"url":null,"abstract":"Summary The Kharita reservoir in Karam field is a prolific Early Cretaceous reservoir located in Badr El-Din concessions, Abu Gharadig Basin, Western Desert, Egypt. This reservoir is characterised by lateral and vertical variations in facies type, reservoir quality, connectivity and low gas recovery which in turn affect the efficiency of further exploitation in the Karam field. Herein, a 3D static reservoir model was conducted using multidisciplinary datasets to provide a comprehensive understanding of reservoir characteristics helping to optimise the strategies of hydrocarbon field development. The conducted well correlation reveals potentially multiple gas accumulations separated by a very low net-to-gross sequence. Two types of reservoir quality were interpreted: good-quality active distributary channels and poor tidal flat deposits. The different types of genetic facies have different property distribution and connectivity behaviours. Active distributary channels have higher connectivity than the tidally influenced channels and the tidal flat sands. The estimated initial gas in-place demonstrated that half of the gas volume is attributed to poor-quality sands which show very low productivity. This work procedure will lead to a more precise prediction of reservoir performance, and select the optimum subsurface development plan, including the location and number of infills required to increase the ultimate gas recovery.","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of 3D Static Modelling and Reservoir Characterisation for Optimal Field Development: a Case Study from the Kharita Formation, Karam Field, Western Desert, Egypt\",\"authors\":\"Ahmed Bakr, Mohamed Reda, Mohamed Fathy\",\"doi\":\"10.3997/1365-2397.fb2023089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary The Kharita reservoir in Karam field is a prolific Early Cretaceous reservoir located in Badr El-Din concessions, Abu Gharadig Basin, Western Desert, Egypt. This reservoir is characterised by lateral and vertical variations in facies type, reservoir quality, connectivity and low gas recovery which in turn affect the efficiency of further exploitation in the Karam field. Herein, a 3D static reservoir model was conducted using multidisciplinary datasets to provide a comprehensive understanding of reservoir characteristics helping to optimise the strategies of hydrocarbon field development. The conducted well correlation reveals potentially multiple gas accumulations separated by a very low net-to-gross sequence. Two types of reservoir quality were interpreted: good-quality active distributary channels and poor tidal flat deposits. The different types of genetic facies have different property distribution and connectivity behaviours. Active distributary channels have higher connectivity than the tidally influenced channels and the tidal flat sands. The estimated initial gas in-place demonstrated that half of the gas volume is attributed to poor-quality sands which show very low productivity. This work procedure will lead to a more precise prediction of reservoir performance, and select the optimum subsurface development plan, including the location and number of infills required to increase the ultimate gas recovery.\",\"PeriodicalId\":35692,\"journal\":{\"name\":\"First Break\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First Break\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/1365-2397.fb2023089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Break","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/1365-2397.fb2023089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
Application of 3D Static Modelling and Reservoir Characterisation for Optimal Field Development: a Case Study from the Kharita Formation, Karam Field, Western Desert, Egypt
Summary The Kharita reservoir in Karam field is a prolific Early Cretaceous reservoir located in Badr El-Din concessions, Abu Gharadig Basin, Western Desert, Egypt. This reservoir is characterised by lateral and vertical variations in facies type, reservoir quality, connectivity and low gas recovery which in turn affect the efficiency of further exploitation in the Karam field. Herein, a 3D static reservoir model was conducted using multidisciplinary datasets to provide a comprehensive understanding of reservoir characteristics helping to optimise the strategies of hydrocarbon field development. The conducted well correlation reveals potentially multiple gas accumulations separated by a very low net-to-gross sequence. Two types of reservoir quality were interpreted: good-quality active distributary channels and poor tidal flat deposits. The different types of genetic facies have different property distribution and connectivity behaviours. Active distributary channels have higher connectivity than the tidally influenced channels and the tidal flat sands. The estimated initial gas in-place demonstrated that half of the gas volume is attributed to poor-quality sands which show very low productivity. This work procedure will lead to a more precise prediction of reservoir performance, and select the optimum subsurface development plan, including the location and number of infills required to increase the ultimate gas recovery.