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

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OPTIMAL BOTTOM HOLE ASSEMBLY CONFIGURATION

Organization Name

Baker Hughes Oilfield Operations LLC

Inventor(s)

Philipp Wolniak of Hannover (DE)

Dennis Heinisch of Lachendorf (DE)

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.

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