Prediction of reservoir fluid properties from mud-gas data
A method of creating a model of a subterranean reservoir for predicting property of a fluid in a reservoir comprising selecting a subset of available reservoir samples based on a degree of biodegradation of the samples, generating an input data set 102 comprising input mud-gas data and fluid propert...
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| creator | Thibault Forest Martin Niemann Tao Yang Knut Kristian Meisingset Ibnu Hafidz Arief |
| description | A method of creating a model of a subterranean reservoir for predicting property of a fluid in a reservoir comprising selecting a subset of available reservoir samples based on a degree of biodegradation of the samples, generating an input data set 102 comprising input mud-gas data and fluid property data, and generating a model using a machine learning algorithm or correlation. The model can be used to predict the fluid properties for other sample locations based on mud-gas data for that location. The application of this technique allows a continuous log of the selected property to be generated using mud-gas data collected during the well drilling process. |
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| subjects | DETECTING MASSES OR OBJECTS EARTH DRILLING EARTH DRILLING, e.g. DEEP DRILLING FIXED CONSTRUCTIONS GEOPHYSICS GRAVITATIONAL MEASUREMENTS MEASURING MINING OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS PHYSICS TESTING |
| title | Prediction of reservoir fluid properties from mud-gas data |
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