摘要：The cuttings settling process becomes erratic in the complex gas-liquid mixture under gas kick, it is very difficult to accurately describe the migration process of cuttings. Meanwhile, the traditional empirical formula based on fitting experimental data is difficult to accurately predict the complex cuttings settlement. Neural network and other intelligent models with high prediction accuracy are difficult to be popularized and applied due to their black box properties. Multi-gene genetic programming can accurately describe complex nonlinear problems and automatically optimize the structure and parameters of the mathematical model, so as to effectively reduce the complexity of the model. Based on the multi-gene genetic programming algorithm, this study used a variety of input parameters to predict the settling velocity, explored the relationship between the input variables and the result, and established an explicit mathematical model of settling velocity with RMSE of 0.0896 in test set and R2 of 0.9292, which breaks the accuracy limits of traditional empirical model and the inexplicability of neural network model. This new method for predicting cuttings settling velocity in gas-liquid mixture can provide theoretical guidance for efficient cuttings migration in wellbore during gas kick. ? 2022 ARMA, American Rock Mechanics Association.

ISSN号：无

卷、期、页：56th U.S. Rock Mechanics/Geomechanics Symposium

发表日期：2022-06-26

期刊分区（SCI为中科院分区）：无

收录情况：EI（工程索引）

发表期刊名称：56th U.S. Rock Mechanics/Geomechanics Symposium

参与作者：Liu, Wei,Fu, Jiasheng

通讯作者：韩亮,张瑞,胡晓丽,李大钰,秦芙蓉,杨东晗

第一作者：祝兆鹏,宋先知

论文类型：会议论文

论文概要：祝兆鹏,宋先知,韩亮,张瑞,Liu, Wei,Fu, Jiasheng,胡晓丽,李大钰,秦芙蓉,杨东晗，Prediction Method of Cutting Settling Velocity in Gas-liquid Two-phase Flow Based on Multi-gene Genetic Programming，56th U.S. Rock Mechanics/Geomechanics Symposium，2022，56th U.S. Rock Mechanics/Geomechanics Symposium

论文题目：Prediction Method of Cutting Settling Velocity in Gas-liquid Two-phase Flow Based on Multi-gene Genetic Programming