Drilling advisory systems and methods with decision trees for learning and application modes

A computer-based system for use in association with drilling operations, the computer-based system comprising:

• a processor adapted to received data and execute instructions;
• a storage medium in communication with the processor;
• and
• at least one instruction set accessible by the processor and saved in the storage medium;
• wherein the at least one instruction set is adapted to:
• (a) receiving data regarding at least two drilling operational parameters related to wellbore drilling operations into an operating parameter database;
• (b) computing a mathematical objective function based upon the received data for input into each of a global search engine and a local search engine;
• (c) inputting the computed objective function and received data into the global search engine to create a global response surface, and to identify global-engine recommended drilling parameters;
• (d) inputting the computed objective function and received data into the local search engine to determine a significantly correlated drilling parameter, and to identify a local-engine recommended drilling parameters based upon the significantly correlated controllable drilling parameter;
• (e) creating a combined dataset using a data fusion process by combining (i) the created global response surface, and (ii) the determined significantly correlated controllable drilling parameter and the local-engine recommended drilling parameters;
• (f) using a decision tree process on the data fusion combined dataset to determine whether to define a status mode of the combined dataset as at least one of a learning mode and an application mode;
• (g) wherein if the decision tree status mode selection of step (f) is learning mode, then;
• a. providing an additional data input for each of the at least two drilling operational parameters in the operating parameter database and repeating steps (b)-(f) for the additional data input for expanding the created global response surface and for revising the global-engine recommended drilling parameters;
• and
• b. recommending use of the global-engine recommended drilling parameters for making an implementable drilling operational decision;
• and
• (h) wherein if the decision tree status mode selection of step (f) is application mode, then comparing the global-engine recommended drilling parameters with the local-engine recommended drilling parameters;
• a. wherein if the compared global-engine recommended drilling parameters and the local-engine recommended drilling parameters are determined to be correlated within a predefined range of agreement with each other, instructing to use either of the global-engine recommended or local-engine recommended set of correlated drilling parameters for use regarding drilling operations;
• and
• b. wherein if the two sets are determined not within a predefined range of agreement with each other, re-perform the local search engine on the global-engine recommended drilling parameters to identify updated local-engine recommended drilling parameters, and instructing to use either of the global-engine recommended or local-engine recommended set of correlated drilling parameters for use regarding drilling operations.