| abstract |
Systems and methods for estimating properties of fluid samples pumped from a formation through a well are described. Based upon input properties, an artificial neural network (ANN) may predict a plurality of data points, and each data point may correspond to a predicted time sample of the property of the fluid sample. Properties predicted by the ANN include sample quality or pumping pressure differential. |