View source for 20240044238. OPTIMAL BOTTOM HOLE ASSEMBLY CONFIGURATION simplified abstract (Baker Hughes Oilfield Operations LLC)

=OPTIMAL BOTTOM HOLE ASSEMBLY CONFIGURATION=


==Organization Name==

[[:Category:Baker Hughes Oilfield Operations LLC|Baker Hughes Oilfield Operations LLC]]


[[Category:Baker Hughes Oilfield Operations LLC]]

==Inventor(s)==

[[:Category:Philipp Wolniak of Hannover (DE)|Philipp Wolniak of Hannover (DE)]][[Category:Philipp Wolniak of Hannover (DE)]]

[[:Category:Dennis Heinisch of Lachendorf (DE)|Dennis Heinisch of Lachendorf (DE)]][[Category:Dennis Heinisch of Lachendorf (DE)]]

[[:Category:Mathais Tergeist of Osnabrueck (DE)|Mathais Tergeist of Osnabrueck (DE)]][[Category:Mathais Tergeist of Osnabrueck (DE)]]

==OPTIMAL BOTTOM HOLE ASSEMBLY CONFIGURATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240044238 titled 'OPTIMAL BOTTOM HOLE ASSEMBLY CONFIGURATION

==Simplified Explanation==

The abstract of this patent application describes a method for designing a bottom hole assembly (BHA) using numerical optimization. The method involves applying a BHA design criterion using a numerical optimization algorithm to identify a set of BHA designs from a larger pool of possible designs. Multiple objective functions are evaluated for each design in the set, taking into account modeling constraints. A pareto-front of the solution space of the objective functions is identified using the optimization algorithm. A data point is selected from the pareto-front using a cost function, and a BHA design is selected from the set of designs using the selected data point. Finally, a BHA is built using the selected design to be deployed downhole in a wellbore.

* The method uses numerical optimization to identify a set of BHA designs from a larger pool of possible designs.
* Multiple objective functions are evaluated for each design in the set, considering modeling constraints.
* A pareto-front of the solution space of the objective functions is identified using the optimization algorithm.
* A data point is selected from the pareto-front using a cost function.
* A BHA design is selected from the set of designs using the selected data point.
* A BHA is built using the selected design to be deployed downhole in a wellbore.

Potential applications of this technology:
* Oil and gas drilling operations
* Geothermal drilling operations
* Mining operations

Problems solved by this technology:
* Optimization of BHA design for improved drilling performance
* Reduction of drilling costs
* Enhanced wellbore stability and control

Benefits of this technology:
* Increased drilling efficiency and productivity
* Improved accuracy and reliability of BHA design
* Cost savings through optimized design and reduced downtime


==Original Abstract Submitted==

a method of defining a bha design includes performing a numerical optimization process, which includes applying a bottom hole assembly (bha) design criterion using a numerical optimization algorithm to identify a set of bha designs selected from a plurality of possible bha designs, evaluating multiple objective functions for each bha design of the set of bha designs based at least in part on a modeling constraint, and identifying a pareto-front of a solution space of the multiple objective functions using the numerical optimization algorithm. the method also includes selecting a data point from the pareto-front using a cost function, selecting a bha design from the set of bha designs using the selected data point, and building a bha using the selected bha design to be deployed downhole in a wellbore.



[[Category:E21B43/30]]