..., in the 300 different simulated source rocks containing Types 1, 2, and 3 kerogens with various organic matter content and activation energies. Based on the set of heater temperature transient data as input parameters, Artificial Neural Network (ANN) is employed to generate a black box model to estimate...

... in simulation and decision making will lead to the development of improved production schemes. scale remediation oilfield chemistry asphaltene remediation machine learning wax inhibition neural network paraffin remediation Artificial Intelligence Production Chemistry remediation of hydrates...

... the effect of the fracturing process on the reservoir. This is accomplished by the use of data modeling/optimization technologies, including artificial neural network (ANN) and genetic algorithms. 1 - 3 The resulting ANN model can then be used to evaluate the production associated with various hydraulic...

... process is based on two simple, quick laboratory tests and a neural network interpretation of the test data. The neural network predicted CO 2 mobility reduction values which correlated well with the mobility reductions seen in coreflood tests. foam-like dispersion coreflood test machine learning...