M. Raghunathan, Mohamad Alkhatib, A. Ali, Muhammad Mukhtar, Neil Doucette
{"title":"包括评估、扩大范围、优化目标产量和油藏监测的绿地开发工作流程:一个案例研究","authors":"M. Raghunathan, Mohamad Alkhatib, A. Ali, Muhammad Mukhtar, Neil Doucette","doi":"10.2118/196732-ms","DOIUrl":null,"url":null,"abstract":"\n A novel workflow was developed to select an optimal field development plan (FDP) which accounts for a number of associated uncertainties for an oil Greenfield concession that has a limited number of wells, production data and information. The FDP was revisited and updated to address the additional data acquired during the field delineation phase.\n The study in Ref-1 demonstrates the comprehensive uncertainty analysis performed and the resulting optimized FDP. The FDP was developed to minimize the economic risk and uncertainty. Further field delineation activities have revealed a north and south extensions with an increase in hydrocarbon accumulation by 115%. A reservoir dynamic model was updated because of the increase in HC and input data from 17 wells.\n A workflow has been created with a suitable development option to consider the recently appraised areas, which are:\n – Updated saturation height functions (SHFs) which improve the match between newly drilled wells and water saturations logs – Updated reservoir models which were based on well tests and new analytical interpretations – History matching well test data with new acquisition data – Optimized field development options, that cover additional areas – Inputs to reservoir surveillance plan\n Be implementing following an extensive analysis the most robust development concept was selected and will now in the field.","PeriodicalId":318637,"journal":{"name":"Day 1 Tue, September 17, 2019","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Green Field Development Workflow Involving Appraisal, Increased Scope, Optimizing Target Production And Reservoir Monitoring: A Case Study\",\"authors\":\"M. Raghunathan, Mohamad Alkhatib, A. Ali, Muhammad Mukhtar, Neil Doucette\",\"doi\":\"10.2118/196732-ms\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n A novel workflow was developed to select an optimal field development plan (FDP) which accounts for a number of associated uncertainties for an oil Greenfield concession that has a limited number of wells, production data and information. The FDP was revisited and updated to address the additional data acquired during the field delineation phase.\\n The study in Ref-1 demonstrates the comprehensive uncertainty analysis performed and the resulting optimized FDP. The FDP was developed to minimize the economic risk and uncertainty. Further field delineation activities have revealed a north and south extensions with an increase in hydrocarbon accumulation by 115%. A reservoir dynamic model was updated because of the increase in HC and input data from 17 wells.\\n A workflow has been created with a suitable development option to consider the recently appraised areas, which are:\\n – Updated saturation height functions (SHFs) which improve the match between newly drilled wells and water saturations logs – Updated reservoir models which were based on well tests and new analytical interpretations – History matching well test data with new acquisition data – Optimized field development options, that cover additional areas – Inputs to reservoir surveillance plan\\n Be implementing following an extensive analysis the most robust development concept was selected and will now in the field.\",\"PeriodicalId\":318637,\"journal\":{\"name\":\"Day 1 Tue, September 17, 2019\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 1 Tue, September 17, 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2118/196732-ms\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Tue, September 17, 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/196732-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Green Field Development Workflow Involving Appraisal, Increased Scope, Optimizing Target Production And Reservoir Monitoring: A Case Study
A novel workflow was developed to select an optimal field development plan (FDP) which accounts for a number of associated uncertainties for an oil Greenfield concession that has a limited number of wells, production data and information. The FDP was revisited and updated to address the additional data acquired during the field delineation phase.
The study in Ref-1 demonstrates the comprehensive uncertainty analysis performed and the resulting optimized FDP. The FDP was developed to minimize the economic risk and uncertainty. Further field delineation activities have revealed a north and south extensions with an increase in hydrocarbon accumulation by 115%. A reservoir dynamic model was updated because of the increase in HC and input data from 17 wells.
A workflow has been created with a suitable development option to consider the recently appraised areas, which are:
– Updated saturation height functions (SHFs) which improve the match between newly drilled wells and water saturations logs – Updated reservoir models which were based on well tests and new analytical interpretations – History matching well test data with new acquisition data – Optimized field development options, that cover additional areas – Inputs to reservoir surveillance plan
Be implementing following an extensive analysis the most robust development concept was selected and will now in the field.