2008
DOI: 10.2118/100959-pa
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Quantification of Uncertainties for Drilling-Induced Formation Damage

Abstract: It has been widely recognized that formation damage caused by drilling fluid has a huge impact on well productivities. The degree of formation damage can be studied using a numerical model. However, uncertainties in the prediction of productivity loss need to be investigated. To quantify these uncertainties, experimental designs combined with the Response Surface Methodology (RSM) are used to assess the impact of uncertain parameters on formation damage. This approach allows to identify the most influential pa… Show more

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Cited by 5 publications
(2 citation statements)
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“…The authors [13] integrated a framework for field-scale modelling, HM, and robust optimisation of field scale low salinity waterflooding (LSW). An approach using the SRM for optimisation [14][15][16][17][18][19]. The authors [20] addressed the decision-making process over the determination of oil & gas production strategies.…”
Section: Background Studies Of Proxy Modelmentioning
confidence: 99%
“…The authors [13] integrated a framework for field-scale modelling, HM, and robust optimisation of field scale low salinity waterflooding (LSW). An approach using the SRM for optimisation [14][15][16][17][18][19]. The authors [20] addressed the decision-making process over the determination of oil & gas production strategies.…”
Section: Background Studies Of Proxy Modelmentioning
confidence: 99%
“…It also reduces or eliminates formation damage because there is no fluid lost to the formation in most cases, resulting in higher productivity wells, and possibly increases reserves. [6][7][8][9][10][11][12][13] More recent techniques in evaluating candidates for underbalanced drilling have removed much of the uncertainty whether a particular well will benefit from UBD 14 , and the development of new equipment and fluids has improved the safety, efficiency and productivity of wells drilled or completed underbalanced.…”
Section: Introductionmentioning
confidence: 99%