John A. Cameron, K. Zaki, Colin Jones, Antonio Lazo
{"title":"Enhanced Flux Management for Sand Control Completions","authors":"John A. Cameron, K. Zaki, Colin Jones, Antonio Lazo","doi":"10.2118/191598-MS","DOIUrl":null,"url":null,"abstract":"\n A probabilistic flux and erosion model and workflow has been constructed to estimate the inflow through sand screen on a foot by foot basis along the wellbore using the completion details, production rate, and reservoir and bottom hole flowing pressures. The model is then calibrated & history matched using well data from pressure transient analyses, well test and production logs as available. Extensive laboratory testing coupled with computational flow dynamics modelling provided the algorithms for a number of different screen types to relate flux and sand production to the expected service life for any given future production profile. This allows the well's planned production profile to be optimized by balancing risk, rate and reserves recovery.","PeriodicalId":11015,"journal":{"name":"Day 1 Mon, September 24, 2018","volume":"886 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Mon, September 24, 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/191598-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
Abstract
A probabilistic flux and erosion model and workflow has been constructed to estimate the inflow through sand screen on a foot by foot basis along the wellbore using the completion details, production rate, and reservoir and bottom hole flowing pressures. The model is then calibrated & history matched using well data from pressure transient analyses, well test and production logs as available. Extensive laboratory testing coupled with computational flow dynamics modelling provided the algorithms for a number of different screen types to relate flux and sand production to the expected service life for any given future production profile. This allows the well's planned production profile to be optimized by balancing risk, rate and reserves recovery.