Biao Zhou , Zhiming Chen , Zhigang Song , Bin Wang , Kamy Sepehrnoori
{"title":"Well interference analysis based on transient-flow analysis using an improved embedded discrete fracture model","authors":"Biao Zhou , Zhiming Chen , Zhigang Song , Bin Wang , Kamy Sepehrnoori","doi":"10.1016/j.geoen.2025.213950","DOIUrl":null,"url":null,"abstract":"<div><div>The use of hydraulic fracturing technology has led to common issues such as well interference. Currently, there is a lack of comprehensive analysis of the pressure transient behaviors considering natural fractures and well interference. This may lead to an inability to accurately estimate reservoir and fracture parameters. To address this limitation, an improved modified embedded discrete fracture model (AEDFM) was used to study well interference based on the pressure transient behaviors of multi-stage fractured horizontal wells (MFHW).</div><div>The transient correction factor for the transmissibility of oil–water two-phase flow in the EDFM was modified to accurately simulate the transient pressure behavior under the influence of two-phase flow. The model was validated by pressure matching with the standard software package KAPPA. Then, the well interference coefficient was defined to quantitatively analyze the impact of well interference. The phenomenon of well interference has been examined under a range of interference mechanisms, including interference through the matrix, natural fractures, connected hydraulic fractures and connected natural fractures. Furthermore, it has been demonstrated that the production rate exerts the most significant influence on well interference, with the well interference coefficient achieving a maximum of 81.5 % when the production rate ratio is elevated to 5. Finally, a field application was conducted using the type-curve analysis method, and the well interference coefficient in the late testing stage was 18.4 %, demonstrating the practicality of the proposed model. This paper provides a new insight into the analysis of well interference.</div></div>","PeriodicalId":100578,"journal":{"name":"Geoenergy Science and Engineering","volume":"252 ","pages":"Article 213950"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoenergy Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949891025003082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The use of hydraulic fracturing technology has led to common issues such as well interference. Currently, there is a lack of comprehensive analysis of the pressure transient behaviors considering natural fractures and well interference. This may lead to an inability to accurately estimate reservoir and fracture parameters. To address this limitation, an improved modified embedded discrete fracture model (AEDFM) was used to study well interference based on the pressure transient behaviors of multi-stage fractured horizontal wells (MFHW).
The transient correction factor for the transmissibility of oil–water two-phase flow in the EDFM was modified to accurately simulate the transient pressure behavior under the influence of two-phase flow. The model was validated by pressure matching with the standard software package KAPPA. Then, the well interference coefficient was defined to quantitatively analyze the impact of well interference. The phenomenon of well interference has been examined under a range of interference mechanisms, including interference through the matrix, natural fractures, connected hydraulic fractures and connected natural fractures. Furthermore, it has been demonstrated that the production rate exerts the most significant influence on well interference, with the well interference coefficient achieving a maximum of 81.5 % when the production rate ratio is elevated to 5. Finally, a field application was conducted using the type-curve analysis method, and the well interference coefficient in the late testing stage was 18.4 %, demonstrating the practicality of the proposed model. This paper provides a new insight into the analysis of well interference.