Development of an Optimized Prediction System of Round Trip Occurrence using Genetic Algorithm

유전자알고리즘을 활용한 최적화된 라운드트립 발생 예측 시스템 개발

  • Received : 2015.12.10
  • Accepted : 2015.12.24
  • Published : 2015.12.31


Round trip activity occurs discretely due to the abrasion of drill bit in the deep drilling project. Round trip has great impact on the drilling performance because it takes more time to change a drill bit as the depth goes deeper. Therefore, a reliable prediction technology of the round trip should be secured for feasibility analysis and effective management of the drilling project. Lee et al. (2013) developed the TOSA (round trip occurrence simulation algorithm) which can analyze the depth and timing of round trip occurrence at each abrasion state of bit. However, TOSA has weakness that it takes long time for simulation because the number of simulation increase exponentially as increasing the number of simulation section. This study developed the TOSA based round trip performance prediction module using genetic algorithm for simulating in a short time and verified simulation results.


Deep Drilling;TOSA;Genetic Algorithm;Round Trip


Supported by : 한국에너지기술평가원, 미래창조과학부


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