SPE-192002-MS
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Table Example of Model DatasetThe difference in figure 2
and figure illustrate the reduction of entropy or noise that the important features can add to a model. The model that generated figure used only pump design features with all subsurface features removed.
Grid Search OptimisationOnce the features and the model were decided upon a simple multivariable grid was used to iterate through the different pump design choices fixing the well representation. Here the power of the gaussian process regression comes into its own. Not only can the model generate a prediction it also generates the variance or confidence value around its prediction.
The recommender system can be used to either exploit the design choices with good predicted runlife with the lowest variance (the conservative choice) or explore the design choices with higher predicted runlife and a higher variance (an experimental choice. The last option is worth exploring to explore pump designs options that may potentially lead to higher runlives. The runlife surface being explored is illustrated in figure Downloaded from http://onepetro.org/SPEAPOG/proceedings-pdf/18APOG/2-18APOG/D021S016R002/1220497/spe-192002-ms.pdf/1 by Vedanta Limited - Cairn Oil & Gas user on 28 June 2023