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Improving the Drilling Parameter Optimization Method Based on the Fireworks Algorithm.

Li Yang1, Zhuohui Lu1, Weijian Ren1

  • 1College of Electrical Information Engineering, Northeast Petroleum University, Daqing163318, China.

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|October 31, 2022
PubMed
Summary
This summary is machine-generated.

Optimizing drilling parameters using an improved fireworks algorithm significantly boosted rate of penetration (ROP) in Permian formations. This method enhanced drilling efficiency, offering valuable insights for parameter settings in oil and gas exploration.

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Area of Science:

  • Petroleum Engineering
  • Artificial Intelligence in Drilling

Background:

  • Drilling efficiency is crucial in oil and gas extraction.
  • Optimizing drilling parameters directly impacts the rate of penetration (ROP).
  • Permian formations present specific challenges for drilling efficiency.

Purpose of the Study:

  • To optimize drilling parameters for enhanced ROP in a Permian formation.
  • To develop and apply an improved fireworks optimization algorithm for this purpose.
  • To establish an objective function for predicting ROP.

Main Methods:

  • Utilized a multilayer perceptron neural network as the objective function's adaptation function.
  • Applied an improved fireworks optimization algorithm to adjust four key drilling parameters: weight on bit, rotary speed, pump discharge, and pump pressure.
  • Enhanced the fireworks algorithm with adaptive factors to improve debugging and search performance.

Main Results:

  • The improved fireworks algorithm demonstrated significantly enhanced search performance.
  • Optimized ROPs for three selected wells increased by 38.55%, 78.30%, and 60.15% respectively.
  • The study successfully identified optimal drilling parameter settings for the target formation.

Conclusions:

  • The improved fireworks algorithm is effective for optimizing drilling parameters.
  • Significant ROP improvements were achieved, indicating enhanced drilling efficiency.
  • The findings provide a practical reference for controllable parameter settings in similar oil and gas fields.