{"title":"孔隙弹性环境下天然裂缝性储层两相相对渗透率曲线定尺度","authors":"Reda Abdel Azim, G. Hamada, Abdurrahman Al Jehani","doi":"10.2118/214276-ms","DOIUrl":null,"url":null,"abstract":"\n The target of upscaling is to replace the very fine and detailed models with coarse models, including much less data. These coarse models are more feasible for running simulations than the fine models. However, upscaling does not aim to speed up reservoir simulations at the cost of simulation results. This study presents an innovative approach to upscale the two-phase core relative permeability to reservoir grid block scale under poro-elastic framework for fractured basement reservoirs using glass bead laboratory measurements and finite element technique. This approach uses a hybrid methodology to calculate grid block equivalent permeability tensors by combining the discrete fracture network and single permeability approaches. The first step in the workflow of upscaling the core relative permeability curve is dividing the reservoir into a number of grid blocks (20 m × 20 m × 30 m) and then the individual grid block is divided into laboratory glass bead model scale of (20 cm × 10 m × 2 cm) to enhance the upscaling process. Next, the new generated kr curves ( Fahad et al. 2013) correlation bas ed on glass bead scale is is used to upscale the laboratory relative permeability curve to each fine-scale grid. The Levenberg-Marquardt inversion algorithm is used during the simulation process of the relative permeability upscaling to match produced oil recovery before and after upscaling. The results illustrate that the upscaling kr curves process is strongly affected applied stresses, fracture orientation and connectivity.","PeriodicalId":349960,"journal":{"name":"Day 2 Tue, March 14, 2023","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two Phase Relative Permeability Curve Upscaling of Naturally Fractured Reservoirs Under Poro-Elastic Environment\",\"authors\":\"Reda Abdel Azim, G. Hamada, Abdurrahman Al Jehani\",\"doi\":\"10.2118/214276-ms\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The target of upscaling is to replace the very fine and detailed models with coarse models, including much less data. These coarse models are more feasible for running simulations than the fine models. However, upscaling does not aim to speed up reservoir simulations at the cost of simulation results. This study presents an innovative approach to upscale the two-phase core relative permeability to reservoir grid block scale under poro-elastic framework for fractured basement reservoirs using glass bead laboratory measurements and finite element technique. This approach uses a hybrid methodology to calculate grid block equivalent permeability tensors by combining the discrete fracture network and single permeability approaches. The first step in the workflow of upscaling the core relative permeability curve is dividing the reservoir into a number of grid blocks (20 m × 20 m × 30 m) and then the individual grid block is divided into laboratory glass bead model scale of (20 cm × 10 m × 2 cm) to enhance the upscaling process. Next, the new generated kr curves ( Fahad et al. 2013) correlation bas ed on glass bead scale is is used to upscale the laboratory relative permeability curve to each fine-scale grid. The Levenberg-Marquardt inversion algorithm is used during the simulation process of the relative permeability upscaling to match produced oil recovery before and after upscaling. The results illustrate that the upscaling kr curves process is strongly affected applied stresses, fracture orientation and connectivity.\",\"PeriodicalId\":349960,\"journal\":{\"name\":\"Day 2 Tue, March 14, 2023\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 2 Tue, March 14, 2023\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2118/214276-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 2 Tue, March 14, 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/214276-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
升级的目标是用包含更少数据的粗糙模型取代非常精细和详细的模型。这些粗模型比精细模型更适合于运行仿真。然而,升级并不是以牺牲模拟结果为代价来加速油藏模拟。本研究提出了一种创新的方法,利用玻璃球实验室测量和有限元技术,将裂缝性基底储层孔隙弹性框架下的两相岩心相对渗透率提升到储层网格块尺度。该方法结合离散裂缝网络和单一渗透率方法,采用混合方法计算网格块等效渗透率张量。岩心相对渗透率曲线提升流程的第一步是将储层划分为多个网格块(20 m × 20 m × 30 m),然后将单个网格块划分为实验室玻璃珠模型尺度(20 cm × 10 m × 2 cm),以增强提升过程。接下来,使用基于玻璃珠尺度的新生成的kr曲线(Fahad et al. 2013)相关性将实验室相对渗透率曲线提升到每个细尺度网格。在相对渗透率提升模拟过程中,采用Levenberg-Marquardt反演算法,拟合提升前后的产油量采收率。结果表明,kr曲线的上尺度过程对外加应力、裂缝取向和连通性有很大影响。
Two Phase Relative Permeability Curve Upscaling of Naturally Fractured Reservoirs Under Poro-Elastic Environment
The target of upscaling is to replace the very fine and detailed models with coarse models, including much less data. These coarse models are more feasible for running simulations than the fine models. However, upscaling does not aim to speed up reservoir simulations at the cost of simulation results. This study presents an innovative approach to upscale the two-phase core relative permeability to reservoir grid block scale under poro-elastic framework for fractured basement reservoirs using glass bead laboratory measurements and finite element technique. This approach uses a hybrid methodology to calculate grid block equivalent permeability tensors by combining the discrete fracture network and single permeability approaches. The first step in the workflow of upscaling the core relative permeability curve is dividing the reservoir into a number of grid blocks (20 m × 20 m × 30 m) and then the individual grid block is divided into laboratory glass bead model scale of (20 cm × 10 m × 2 cm) to enhance the upscaling process. Next, the new generated kr curves ( Fahad et al. 2013) correlation bas ed on glass bead scale is is used to upscale the laboratory relative permeability curve to each fine-scale grid. The Levenberg-Marquardt inversion algorithm is used during the simulation process of the relative permeability upscaling to match produced oil recovery before and after upscaling. The results illustrate that the upscaling kr curves process is strongly affected applied stresses, fracture orientation and connectivity.