{"title":"基于密度的油水多相流系统生产数据分析方法","authors":"Kien Tran, Jonathan Garcez, L. Ayala H.","doi":"10.1115/1.4062405","DOIUrl":null,"url":null,"abstract":"\n This paper presents a novel approach to estimate reserves of oil and water reservoirs undergoing boundary-dominated flow conditions in a simplified yet accurate manner. The methodology incorporates rescaled density-based exponential models and is based on the coupling of two-phase oil and water material balances with multiphase well deliverability equations. Current multi-phase production data analysis methods employed for reserve calculations, including density-based approach, are subjected to the determination of saturation-pressure relationship, multiphase pseudo-pressure and pseudo-time, as well as the iterative nature of its own algorithm. The herein proposed approach circumnvents the need for pseudo-variables calculations, thus, precluding the determination of saturation-pressure relationship and removing the iterative nature often present in state-of-the-art approaches. The proposed model is validated by comparing its predictions to numerical models with both constant and variable bottomhole pressure constrainrs, and has been found to match closely. For all cases, relative errors are found to be less than 1%.","PeriodicalId":15676,"journal":{"name":"Journal of Energy Resources Technology-transactions of The Asme","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A robust density-based approach to Production Data Analysis of Oil/Water multiphase flow system\",\"authors\":\"Kien Tran, Jonathan Garcez, L. Ayala H.\",\"doi\":\"10.1115/1.4062405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n This paper presents a novel approach to estimate reserves of oil and water reservoirs undergoing boundary-dominated flow conditions in a simplified yet accurate manner. The methodology incorporates rescaled density-based exponential models and is based on the coupling of two-phase oil and water material balances with multiphase well deliverability equations. Current multi-phase production data analysis methods employed for reserve calculations, including density-based approach, are subjected to the determination of saturation-pressure relationship, multiphase pseudo-pressure and pseudo-time, as well as the iterative nature of its own algorithm. The herein proposed approach circumnvents the need for pseudo-variables calculations, thus, precluding the determination of saturation-pressure relationship and removing the iterative nature often present in state-of-the-art approaches. The proposed model is validated by comparing its predictions to numerical models with both constant and variable bottomhole pressure constrainrs, and has been found to match closely. For all cases, relative errors are found to be less than 1%.\",\"PeriodicalId\":15676,\"journal\":{\"name\":\"Journal of Energy Resources Technology-transactions of The Asme\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Energy Resources Technology-transactions of The Asme\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4062405\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Energy Resources Technology-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062405","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
A robust density-based approach to Production Data Analysis of Oil/Water multiphase flow system
This paper presents a novel approach to estimate reserves of oil and water reservoirs undergoing boundary-dominated flow conditions in a simplified yet accurate manner. The methodology incorporates rescaled density-based exponential models and is based on the coupling of two-phase oil and water material balances with multiphase well deliverability equations. Current multi-phase production data analysis methods employed for reserve calculations, including density-based approach, are subjected to the determination of saturation-pressure relationship, multiphase pseudo-pressure and pseudo-time, as well as the iterative nature of its own algorithm. The herein proposed approach circumnvents the need for pseudo-variables calculations, thus, precluding the determination of saturation-pressure relationship and removing the iterative nature often present in state-of-the-art approaches. The proposed model is validated by comparing its predictions to numerical models with both constant and variable bottomhole pressure constrainrs, and has been found to match closely. For all cases, relative errors are found to be less than 1%.
期刊介绍:
Specific areas of importance including, but not limited to: Fundamentals of thermodynamics such as energy, entropy and exergy, laws of thermodynamics; Thermoeconomics; Alternative and renewable energy sources; Internal combustion engines; (Geo) thermal energy storage and conversion systems; Fundamental combustion of fuels; Energy resource recovery from biomass and solid wastes; Carbon capture; Land and offshore wells drilling; Production and reservoir engineering;, Economics of energy resource exploitation