Sequential residual symbolic regression for modeling formation evaluation and reservoir fluid parameters

A computer-implemented method comprising:

• receiving training data for modeling at least one of a petrophysical parameter and a fluid property based on reservoir formation data;
• performing symbolic regression using the training data to obtain a first set of symbolic regression models;
• determining a first residual based on the training data and a first symbolic regression model from the first set of symbolic regression models;
• performing symbolic regression using the first residual to obtain a second set of symbolic regression models;
• and
• updating the first symbolic regression model based on a second symbolic regression model from the second set of symbolic regression models to yield a first revised symbolic regression model.

A non-transitory computer-readable medium having instructions stored thereon which, when executed by a computer or processor, cause the computer or the processor to:

• receive training data for modeling at least one of a petrophysical parameter and a fluid property based on reservoir formation data;
• perform symbolic regression using the training data to obtain a first set of symbolic regression models;
• determine a first residual based on the training data and a first symbolic regression model from the first set of symbolic regression models;
• perform symbolic regression using the first residual to obtain a second set of symbolic regression models;
• and
• update the first symbolic regression model based on a second symbolic regression model from the second set of symbolic regression models to yield a first revised symbolic regression model.