J. Leem, I. H. Musa, C. Tan, M. F. Che Yusoff, Z. Zain, James Kear, D. Kasperczyk, Zuorong Chen, S. Salimzadeh
{"title":"Estimating Leak-Off Characteristics Due to Hydraulic Fracture and Natural Fracture Interaction Utilizing XFEM-Based 3D Hydraulic Fracture Model","authors":"J. Leem, I. H. Musa, C. Tan, M. F. Che Yusoff, Z. Zain, James Kear, D. Kasperczyk, Zuorong Chen, S. Salimzadeh","doi":"10.2118/208896-ms","DOIUrl":null,"url":null,"abstract":"\n Leak-off characteristics during hydraulic fracturing operation are difficult to determine but yet critical in developing conventional and unconventional reservoirs with natural fractures and other weak structural planes (e.g. micro-faults, weak beddings). When hydraulic fractures interact with natural fractures, they will either be arrested or transect the natural fractures depend on the leak-off characteristic of the natural fractures. The effective leak-off characteristic in a naturally fractured reservoir is an essential input for hydraulic fracturing simulation and consequent completion design as well as reservoir simulation (e.g., dual porosity and dual permeability) and consequent production optimization.\n A novel method of estimating the effective leak-off characteristic in a naturally fractured reservoir is developed directly from hydraulic fracturing diagnostic tests such as minifrac and DFIT utilizing eXtended Finite Element Method (XFEM)-based 3D hydraulic fracturing model. Complex behaviors of hydraulic fractures interacting with natural fractures are simulated in the XFEM-based hydraulic fracturing model and history-matched with minifrac/DFIT data (i.e., treating pressure), in order to estimate effective leak-off characteristics of naturally fractured reservoirs.","PeriodicalId":146458,"journal":{"name":"Day 1 Wed, March 16, 2022","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Wed, March 16, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/208896-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Leak-off characteristics during hydraulic fracturing operation are difficult to determine but yet critical in developing conventional and unconventional reservoirs with natural fractures and other weak structural planes (e.g. micro-faults, weak beddings). When hydraulic fractures interact with natural fractures, they will either be arrested or transect the natural fractures depend on the leak-off characteristic of the natural fractures. The effective leak-off characteristic in a naturally fractured reservoir is an essential input for hydraulic fracturing simulation and consequent completion design as well as reservoir simulation (e.g., dual porosity and dual permeability) and consequent production optimization.
A novel method of estimating the effective leak-off characteristic in a naturally fractured reservoir is developed directly from hydraulic fracturing diagnostic tests such as minifrac and DFIT utilizing eXtended Finite Element Method (XFEM)-based 3D hydraulic fracturing model. Complex behaviors of hydraulic fractures interacting with natural fractures are simulated in the XFEM-based hydraulic fracturing model and history-matched with minifrac/DFIT data (i.e., treating pressure), in order to estimate effective leak-off characteristics of naturally fractured reservoirs.