... will be used to optimize Steam flood process and steam pattern well completion for improving efficiency of formation heating and delaying steam flood break through. flow in porous media neural network Eocene core permeability machine learning Upstream Oil & Gas cross plot steam injection...

...., turbulent flow requires a correlation that is different from one for laminar flow. The second model is an Artificial Neural Network (ANN) program that uses the same dimensionless groups but has been "trained" by using the test data. The ANN model predicts bed heights with an error of less than 10% over...

... value, cumulative oil production or cumulative steam injected. The solution methodology includes the construction of a "fast surrogate" of an objective function whose evaluation involves the execution of a time-consuming mathematical model (i.e. reservoir numerical simulator) based on neural networks...

...-heavy oil cold production viscosity behavior trajectory society of petroleum engineers pcp system machine learning operation artificial intelligence neural network upstream oil & gas application bitumen venezuela process variable pattern recognition progressing cavity pump...

... Soroush, Drexel University, M.R. Johnston, CalResources, LLC., SPE, and Tad W. Patzek, University of California at Berkeley, SPE Abstract In this paper, we present the next generation of "smart" controllers based on neural networks and geometric control techniques. In addition, we discuss an innovative...