... through the utilization of non-conventional and highly abundant historical data by employing simple machine learning algorithms. This digitalization initiative has led to significant economic benefits in terms of production and cost efficiency. classifier machine learning artificial intelligence...

... of the real time interpretation of subsurface drilling lithologies to have a better control over desired well path and economics, which is very limited through available conventional methods. This paper aims to provide a classifier that can deliver a justified chance of success in lithology estimation based...

... method, the Adaboost algorithm, based on three wells in the Daan section, Longqian area of China. Typical single classification algorithms are used to identify the lithology, such as decision trees, SVMs (Support Vector Machines), and Bayes, etc. Comparing the results of single classifiers, the results...

... by varying some of the input parameters in each model. A number of key features from plots of WOR against oil recovery factor are heuristically extracted by segmenting these plots at certain points. LMT classifiers are then applied to integrate these features with reservoir parameters to build classification...