Reservoir fluid property estimation using mud-gas data

A method 100 of generating a model for predicting at least one property of a fluid at a sample location within a hydrocarbon reservoir, comprising: providing an input data set 102 comprising training data set 104 and testing data set 106, the input data comprising mud-gas data and petrophysical data for each of a plurality of sample locations, and the target data comprising the at least one property of the fluid for each of the plurality of sample locations; and generating a model using the training data set such that the model can be used to predict the at least one property of the fluid at the sample location based on measured mud-gas data and measured petrophysical data for the sample location, wherein a drilling fluid recycling correction has not been applied to the mudgas data; and wherein the input data does not comprise downhole fluid sampling data. A computer-based model, a computer-readable medium, methods of predicting a value of a property of a fluid at a sample location and throughout a wellbore are also claimed.