{"title":"Blasingame型曲线在多井凝析气藏中的应用","authors":"P. M. Adrian, M. Cabrera","doi":"10.2118/191214-MS","DOIUrl":null,"url":null,"abstract":"\n Nowadays advanced decline curve analysis techniques are widely accepted for estimating Hydrocarbon Initially in place (HCIIP), reservoir parameters and production forecasting. These analytical techniques were developed assuming different reservoir models and wellbore geometries. Most of them considered an ideal single well reservoir system, which is not a common scenario of production.\n In light of that, some authors have proposed theoretical solutions for the analysis of production data of multi-well reservoir. Gas and oil reservoirs has been studied and validated with reservoir simulation models; however the application to real field case was not addresses in detail. There is an example for gas-condensate reservoir with the multi-well approach and the other for an oil field by applying a single well methodology.\n This paper presents a field case study application of Blasingame type curve method to a multi-well gas-condensate reservoir. Total material balance pseudo-time was calculated using the two-phase compressibility factor. Bottomhole flowing pressures were calculated with vertical flow correlations and adjusted with dynamic gradients. A single well production data was analyzed to estimate the total Original Gas In-Place of a gas-condensate reservoir as well as reservoir parameters.\n The results of the multi-well method were comparable with volumetric and conventional material balance estimations, as well as well testing interpretation results. Therefore the reliability of the multi-well type curve approach to gas-condensate reservoirs was confirmed.","PeriodicalId":11006,"journal":{"name":"Day 3 Wed, June 27, 2018","volume":"7 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application of Blasingame Type Curves to a Multi-Well Gas-Condensate Reservoir: Field Case Study\",\"authors\":\"P. M. Adrian, M. Cabrera\",\"doi\":\"10.2118/191214-MS\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Nowadays advanced decline curve analysis techniques are widely accepted for estimating Hydrocarbon Initially in place (HCIIP), reservoir parameters and production forecasting. These analytical techniques were developed assuming different reservoir models and wellbore geometries. Most of them considered an ideal single well reservoir system, which is not a common scenario of production.\\n In light of that, some authors have proposed theoretical solutions for the analysis of production data of multi-well reservoir. Gas and oil reservoirs has been studied and validated with reservoir simulation models; however the application to real field case was not addresses in detail. There is an example for gas-condensate reservoir with the multi-well approach and the other for an oil field by applying a single well methodology.\\n This paper presents a field case study application of Blasingame type curve method to a multi-well gas-condensate reservoir. Total material balance pseudo-time was calculated using the two-phase compressibility factor. Bottomhole flowing pressures were calculated with vertical flow correlations and adjusted with dynamic gradients. A single well production data was analyzed to estimate the total Original Gas In-Place of a gas-condensate reservoir as well as reservoir parameters.\\n The results of the multi-well method were comparable with volumetric and conventional material balance estimations, as well as well testing interpretation results. Therefore the reliability of the multi-well type curve approach to gas-condensate reservoirs was confirmed.\",\"PeriodicalId\":11006,\"journal\":{\"name\":\"Day 3 Wed, June 27, 2018\",\"volume\":\"7 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 3 Wed, June 27, 2018\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2118/191214-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 3 Wed, June 27, 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/191214-MS","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Blasingame Type Curves to a Multi-Well Gas-Condensate Reservoir: Field Case Study
Nowadays advanced decline curve analysis techniques are widely accepted for estimating Hydrocarbon Initially in place (HCIIP), reservoir parameters and production forecasting. These analytical techniques were developed assuming different reservoir models and wellbore geometries. Most of them considered an ideal single well reservoir system, which is not a common scenario of production.
In light of that, some authors have proposed theoretical solutions for the analysis of production data of multi-well reservoir. Gas and oil reservoirs has been studied and validated with reservoir simulation models; however the application to real field case was not addresses in detail. There is an example for gas-condensate reservoir with the multi-well approach and the other for an oil field by applying a single well methodology.
This paper presents a field case study application of Blasingame type curve method to a multi-well gas-condensate reservoir. Total material balance pseudo-time was calculated using the two-phase compressibility factor. Bottomhole flowing pressures were calculated with vertical flow correlations and adjusted with dynamic gradients. A single well production data was analyzed to estimate the total Original Gas In-Place of a gas-condensate reservoir as well as reservoir parameters.
The results of the multi-well method were comparable with volumetric and conventional material balance estimations, as well as well testing interpretation results. Therefore the reliability of the multi-well type curve approach to gas-condensate reservoirs was confirmed.