A. Aslanyan, A. Margarit, A. Popov, I. Zhdanov, E. Pakhomov, M. Garnyshev, D. Gulyaev, R. Farakhova
{"title":"Production Performance Analysis of Western Siberia Mature Waterflood with Prime Diagnostic Metrics","authors":"A. Aslanyan, A. Margarit, A. Popov, I. Zhdanov, E. Pakhomov, M. Garnyshev, D. Gulyaev, R. Farakhova","doi":"10.2118/204641-ms","DOIUrl":null,"url":null,"abstract":"\n The paper shares a practical case of production analysis of mature field in Western Siberia with a large stock of wells (> 1,000) and ongoing waterflood project.\n The main production complications of this field are the thief water production, thief water injection and non-uniform vertical sweep profile.\n The objective of the study was to analyse the 30-year history of development using conventional production and surveillance data, identify the suspects of thief water production and thief water injection and check the uniformity of the vertical flow profile.\n Performing such an analysis on well-by-well basis is a big challenge and requires a systematic approach and substantial automation.\n The majority of conventional diagnostic metrics fail to identify the origin of production complications. The choice was made in favour of production analysis workflow based on PRIME metrics, which automatically generates numerous conventional production performance metrics (including the reallocated production maps and cross-sections) and additionally generates advanced metrics based on automated 3D micro-modelling.\n This allowed to zoom on the wells with potential complications and understand their production/recovery potential.\n The PRIME analysis has also helped to identify the wells and areas which potentially may hold recoverable reserves and may benefit from additional well and cross-well surveillance.","PeriodicalId":11024,"journal":{"name":"Day 4 Wed, December 01, 2021","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 4 Wed, December 01, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/204641-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
The paper shares a practical case of production analysis of mature field in Western Siberia with a large stock of wells (> 1,000) and ongoing waterflood project.
The main production complications of this field are the thief water production, thief water injection and non-uniform vertical sweep profile.
The objective of the study was to analyse the 30-year history of development using conventional production and surveillance data, identify the suspects of thief water production and thief water injection and check the uniformity of the vertical flow profile.
Performing such an analysis on well-by-well basis is a big challenge and requires a systematic approach and substantial automation.
The majority of conventional diagnostic metrics fail to identify the origin of production complications. The choice was made in favour of production analysis workflow based on PRIME metrics, which automatically generates numerous conventional production performance metrics (including the reallocated production maps and cross-sections) and additionally generates advanced metrics based on automated 3D micro-modelling.
This allowed to zoom on the wells with potential complications and understand their production/recovery potential.
The PRIME analysis has also helped to identify the wells and areas which potentially may hold recoverable reserves and may benefit from additional well and cross-well surveillance.