BHA Design Optimization for Vibration Control

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Solution Overview

Problem

The design of a bottomhole assembly (BHA) for directional drilling is challenging due to resonance issues, wear rates of components, and optimal sensor placement, which affect drilling performance and lifespan, and requires a method to select the best configuration based on formation type and performance requirements.

Innovation Solution

A method for BHA design and component selection operating in either the time or frequency domain, which creates multiple configurations, determines a cost function representing each configuration, and selects the optimal one to minimize vibrations, wear, and improve rate of penetration by using a dynamic model that simulates drilling conditions and optimizes component placement and sensor locations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the natural frequencies of the BHA design coincide with expected frequencies of downhole forces, then the BHA may resonate, resulting in damage or failure of the BHA, but avoiding resonance requires careful design to prevent vibration and wear issues

Engineering Contradiction:
ImproveBHA lifespanVSAvoidresonance and vibration
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent performs preliminary frequency analysis and modal analysis during the design phase to identify natural frequencies of the BHA components. By calculating these frequencies beforehand and comparing them with expected downhole force frequencies, the design can be adjusted to avoid resonance conditions before the BHA is deployed, preventing vibration and wear issues from occurring during operation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent modifies design parameters such as component dimensions, material properties, and configuration to shift the natural frequencies of the BHA away from harmful downhole force frequencies. By changing these parameters, the resonance risk is reduced while maintaining the functional requirements of the BHA.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If multiple BHA configurations are evaluated to find the optimal design, then drilling performance and lifespan can be improved, but the design process becomes more complex and time-consuming

Engineering Contradiction:
Improvedrilling performance and lifespanVSAvoiddesign process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates simplified digital models or representations of different BHA configurations to evaluate their performance characteristics. Instead of physically building and testing multiple configurations, the patent uses computational models to simulate and compare the behavior of various designs, reducing the complexity and time required for the design process while still identifying the optimal configuration.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent develops a comprehensive evaluation framework that can assess multiple BHA configurations using a unified set of criteria and metrics. This multi-functional approach allows simultaneous evaluation of different designs across various performance parameters, streamlining the design process despite the increased number of configurations being analyzed.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10878145B2Bottomhole assembly design and component selection
Publication Date: 2020.12.29 HALLIBURTON ENERGY SERVICES INC
  • US10878145B2 patent drawing
  • US10878145B2 patent drawing
  • US10878145B2 patent drawing

AI summary

A method for generating a BHA design and component selection by creating a plurality of BHA configurations. A cost function, representative of each respective BHA configuration, is determined. Each cost function includes drilling process metrics. A final BHA configuration of the plurality of BHA configurations is selected having an optimal cost function value. The optimal cost function value may be defined as a cost function value that is less than cost function values of other respective cost functions for the plurality of BHA configurations.