STATIC AND DYNAMIC UNCERTAINTY ANALYSIS OF MULTILAYER SANDSTONE RESERVOIR IN ABC FIELD USING EXPERIMENTAL DESIGN : A CASE STUDY

Application of experimental design method to determine the static and dynamic uncertainty is shown in this study. A new developed gas field is chosen as object study. Limited data, measurement errors, different interpretation method and assumptions cause the dynamic uncertainty analysis i.e cumulati...

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Bibliographic Details
Main Author: HAFEZ (NIM: 22206303), MOHD
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/23127
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Application of experimental design method to determine the static and dynamic uncertainty is shown in this study. A new developed gas field is chosen as object study. Limited data, measurement errors, different interpretation method and assumptions cause the dynamic uncertainty analysis i.e cumulative gas production. The unique characteristics of ABC field make it different from nearby fields increase the uncertainty itself. By determining the static and dynamic uncertainty parameters, hopefully operator could determine the optimum production strategy. <br /> <br /> <br /> This study describes the application of experimental design with two level fractional factorial design and Plackett-Burman method. The methodology of this study consist of : (1) identify the uncertainty parameters and its interval; (2) design experiments ; (3) conduct experiments using reservoir simulation ; (4) analyze the result and develop proxy multivariable equation ; (5) validate the equation and predict the cumulative gas production ;(6) produciton optimization by applying several produciton scenario. <br /> <br /> <br /> The result of study show that significant static parameters are gross reservoir volume (GRV), net to gross (NTG) dan effective porosity. For dynamic uncertainty, significant parameters are static, Kv/Kh, permeability multiplier adn Sgr. Recovery factor of basecase is 24%. Production optimization is conducted by drilling 4 additional wells, drilling 4 additional wells +MP, drilling 4 additional wells+LP with recovery factor respectively are 81%, 86% and 91%.