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- W1997651618 abstract "ABSTRACT Stuck drillpipe is one of the most costly risks of exploitation drilling. However, few, if any companies incorporate this risk into their project evaluation economics. This paper describes a method to quantify such risks. The method involves gathering data from over 311 cases drilled in the Gulf of Mexico. From this data. Logistic Regression was used to build stuck pipe probability models for both water-based and oil-based drilling mud. These models, which measure both the probability of getting stuck and freeing the drillpipe once it becomes stuck, are incorporated into a Monte Carlo simulation, which yields a log-normal distribution of costs for a hole section of a given design. This distribution of costs can be incorporated with exploration risk methods for a project evaluation technique that incorporates cost (mechanical) risks as well as revenue (exploration) risks." @default.
- W1997651618 created "2016-06-24" @default.
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- W1997651618 date "1994-09-25" @default.
- W1997651618 modified "2023-10-01" @default.
- W1997651618 title "Quantifying Stuck Pipe Risk in Gulf of Mexico Oil and Gas Drilling" @default.
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- W1997651618 doi "https://doi.org/10.2118/28298-ms" @default.
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