PERFORMANCE PREDICTION FULL SCALE WATERFLOOD BY PARAMETRIC ANALYSIS OF PILOT WATERFLOOD

Enhance Oil Recovery Technic become the only one choice for mature field and Waterflood is the mostlikely method considering the advantage from technology availability and economically. To apply this method in the field have to be pass many project screening which need early performance prediction t...

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Main Author: SEMBIRING (NIM : 22207318), BARDANSYAH
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/21390
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:21390
spelling id-itb.:213902017-09-27T15:07:46ZPERFORMANCE PREDICTION FULL SCALE WATERFLOOD BY PARAMETRIC ANALYSIS OF PILOT WATERFLOOD SEMBIRING (NIM : 22207318), BARDANSYAH Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/21390 Enhance Oil Recovery Technic become the only one choice for mature field and Waterflood is the mostlikely method considering the advantage from technology availability and economically. To apply this method in the field have to be pass many project screening which need early performance prediction to be able construct economic analysis and pass all project analysis screening. There are several method to predict waterflood performance such as Buckley Leverett, Craig Geffen Morse, Dykstra Parson, Stiles dan Bush and Helander which develop based on empirical approach using other site country waterflood success story or based on several ideal assumption which may create big gap to real condition. The other method which usually come as the best choice to more credible is Reservoir Simulation, but this method even provide more accurate prediction consume much time and effort as well as money thus unpractical to do for early prediction. There is room for practical approach to predict waterflood performance by utilize pilot waterflood and give acceptable result. The Method <br /> <br /> also applicable for other field by following step by step calculation. This Method developed by apply Parametric Analysis either static parametric or dynamic <br /> <br /> parametric of the reservoir and pilot waterflood behavior. The result have to pass statistical test thus for practically using statistic function in Excel application software. This Method developed by collect all static parametric such as Porosity, Permeability, PV, OOIP, etc. as same as dynamic parametric of pilot waterflood behavior such as PVI, FIFO, RF. Delta RF, WOR, etc. Then conduct parametric analysis and find out relationship between parametric to end up with practical <br /> <br /> equation specific for this reservoir to predict waterflood performance for entire field application. Finally perform two equation which are equation to calculate injection rate for injector and eqution to calculate additional recovery factor. Overall calculation the field scale waterflood result additional 6.8 % recovery from OOIP. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Enhance Oil Recovery Technic become the only one choice for mature field and Waterflood is the mostlikely method considering the advantage from technology availability and economically. To apply this method in the field have to be pass many project screening which need early performance prediction to be able construct economic analysis and pass all project analysis screening. There are several method to predict waterflood performance such as Buckley Leverett, Craig Geffen Morse, Dykstra Parson, Stiles dan Bush and Helander which develop based on empirical approach using other site country waterflood success story or based on several ideal assumption which may create big gap to real condition. The other method which usually come as the best choice to more credible is Reservoir Simulation, but this method even provide more accurate prediction consume much time and effort as well as money thus unpractical to do for early prediction. There is room for practical approach to predict waterflood performance by utilize pilot waterflood and give acceptable result. The Method <br /> <br /> also applicable for other field by following step by step calculation. This Method developed by apply Parametric Analysis either static parametric or dynamic <br /> <br /> parametric of the reservoir and pilot waterflood behavior. The result have to pass statistical test thus for practically using statistic function in Excel application software. This Method developed by collect all static parametric such as Porosity, Permeability, PV, OOIP, etc. as same as dynamic parametric of pilot waterflood behavior such as PVI, FIFO, RF. Delta RF, WOR, etc. Then conduct parametric analysis and find out relationship between parametric to end up with practical <br /> <br /> equation specific for this reservoir to predict waterflood performance for entire field application. Finally perform two equation which are equation to calculate injection rate for injector and eqution to calculate additional recovery factor. Overall calculation the field scale waterflood result additional 6.8 % recovery from OOIP.
format Theses
author SEMBIRING (NIM : 22207318), BARDANSYAH
spellingShingle SEMBIRING (NIM : 22207318), BARDANSYAH
PERFORMANCE PREDICTION FULL SCALE WATERFLOOD BY PARAMETRIC ANALYSIS OF PILOT WATERFLOOD
author_facet SEMBIRING (NIM : 22207318), BARDANSYAH
author_sort SEMBIRING (NIM : 22207318), BARDANSYAH
title PERFORMANCE PREDICTION FULL SCALE WATERFLOOD BY PARAMETRIC ANALYSIS OF PILOT WATERFLOOD
title_short PERFORMANCE PREDICTION FULL SCALE WATERFLOOD BY PARAMETRIC ANALYSIS OF PILOT WATERFLOOD
title_full PERFORMANCE PREDICTION FULL SCALE WATERFLOOD BY PARAMETRIC ANALYSIS OF PILOT WATERFLOOD
title_fullStr PERFORMANCE PREDICTION FULL SCALE WATERFLOOD BY PARAMETRIC ANALYSIS OF PILOT WATERFLOOD
title_full_unstemmed PERFORMANCE PREDICTION FULL SCALE WATERFLOOD BY PARAMETRIC ANALYSIS OF PILOT WATERFLOOD
title_sort performance prediction full scale waterflood by parametric analysis of pilot waterflood
url https://digilib.itb.ac.id/gdl/view/21390
_version_ 1821120448132284416