Drilling advisory systems and methods with combined global search and local search methods
AssigneeExxonMobil Upstream Research Company
InventorsLei Wang, Stephen M. Remmert, Paul E. Pastusek, Jeffrey R. Bailey, Matthew T. Prim, Darren Pais, Dar-Lon Chang, Gregory S. Payette
Life of this patent
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Abstract
Combined methods and systems for optimizing drilling related operations include global search engines and local search engines to find the optimal value for at least one controllable drilling parameter, and a data fusion module to combine or select the operational recommendations from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.
Claims18
A method of drilling a wellbore through subterranean formation, the method comprising:
- (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 at least two 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 at least two 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;
- determining operational updates to at least one of the at least two controllable drilling parameters based at least in part on the further optimized recommendation;
- and
- implementing at least one of the determined operational updates in the wellbore drilling operations.
A computer-based system for use in association with drilling operations, the computer-based system comprising:
- a processor adapted to execute a programmed set of 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 for:
- (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 determine a significantly correlated drilling parameter, and to identify a local-engine recommended drilling parameters based upon the significantly correlated 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 drilling parameter and the local-engine recommended drilling parameters;
- (f) using a decision tree process on the data fusion combined dataset to generate operational updates to the at least two drilling operational parameters;
- and
- implementing at least one of the generated operational updates in the drilling operations.
Dependencies are inferred from the claim text.