APPLICATION OF RISK ANALYSIS ON PORE AND FRACTURE PRESSUREPREDICTION FROM INTEGRATION OF SEISMIC VELOCITY AND LOG DATA
Pore pressure and fracture gradient prediction have been a standard procedure while planning to drill a well. The methods that can be used are also varied based on the data availability. The predictions are very important in determining the mud weight that will be used during drilling because this w...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/20168 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Pore pressure and fracture gradient prediction have been a standard procedure while planning to drill a well. The methods that can be used are also varied based on the data availability. The predictions are very important in determining the mud weight that will be used during drilling because this work can also try to predict if there is any pore pressure anomaly. The anomaly that potentially can happen in the area of interest is the increase in pore pressure higher than hydrostatic pressure. With the increase of pore pressure, the effective pressure which is the different between pore pressure and the overburden pressure become smaller which in this case make the margin for the mud weight becomes narrower. <br />
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The goal of this thesis is as a case study of application of pore pressure and fracture pressure prediction using seismic velocity and well log data in the delta environment with the potential of overpressure. Risk analysis were also implemented in this research to quantify the uncertainty of the prediction. By knowing the mechanism of the overpressure that may happen in the area using well log and pressure data from the available well data, then the correct method can be applied. <br />
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As a tool to analyse the uncertainty of the prediction of pore pressure and fracture pressure, Monte Carlo simulation was performed in this research to obtain the distribution of pore pressure and fracture pressure so that the uncertainty can be quantified. The result of the quantified uncertainty can then be used to calculate the risk of kick or loss happening when applying particular mud weight at particular depth. |
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