Fossil fuels are undoubtedly important, and drilling technology plays an important role in realizing fossil fuel exploration;therefore, the prediction and evaluation of drilling efficiency is a key research goal in th...Fossil fuels are undoubtedly important, and drilling technology plays an important role in realizing fossil fuel exploration;therefore, the prediction and evaluation of drilling efficiency is a key research goal in the industry. Limited by the unknown geological environment and complex operating procedures, the prediction and evaluation of drilling efficiency were very difficult before the introduction of machine learning algorithms. This review statistically analyses rate of penetration(ROP) prediction models established based on machine learning algorithms;establishes an overall framework including data collection, data preprocessing, model establishment, and accuracy evaluation;and compares the effectiveness of different algorithms in each link of the process. This review also compares the prediction accuracy of different machine learning models and traditional models commonly used in this field and demonstrates that machine learning models are the most effective technical means in current ROP prediction modeling.展开更多
细胞的极性生长可以作用于植物生长发育等一系列生物活动。其中花粉管的极性生长在被子植物有性生殖过程中发挥重要的作用。多种信号通路协同调控花粉管的极性生长,ROP (Rho-related GTPases of plants)所介导的信号途径是花粉管极性生...细胞的极性生长可以作用于植物生长发育等一系列生物活动。其中花粉管的极性生长在被子植物有性生殖过程中发挥重要的作用。多种信号通路协同调控花粉管的极性生长,ROP (Rho-related GTPases of plants)所介导的信号途径是花粉管极性生长调控网络中的主要参与者,也是植物其他细胞极性生长的关键调节因子。本研究将以拟南芥等植物的花粉管作为对象,对ROP信号途径进行简要叙述,旨在更全面地展现ROP在花粉管极性生长中的分子机制,为植物小G蛋白ROP的功能研究提供借鉴。展开更多
基金financially supported by CNOOC China Co., Ltd. Zhanjiang Branch (CNOOC-KJ135ZDXM3 8ZJ05ZJ)。
文摘Fossil fuels are undoubtedly important, and drilling technology plays an important role in realizing fossil fuel exploration;therefore, the prediction and evaluation of drilling efficiency is a key research goal in the industry. Limited by the unknown geological environment and complex operating procedures, the prediction and evaluation of drilling efficiency were very difficult before the introduction of machine learning algorithms. This review statistically analyses rate of penetration(ROP) prediction models established based on machine learning algorithms;establishes an overall framework including data collection, data preprocessing, model establishment, and accuracy evaluation;and compares the effectiveness of different algorithms in each link of the process. This review also compares the prediction accuracy of different machine learning models and traditional models commonly used in this field and demonstrates that machine learning models are the most effective technical means in current ROP prediction modeling.
文摘细胞的极性生长可以作用于植物生长发育等一系列生物活动。其中花粉管的极性生长在被子植物有性生殖过程中发挥重要的作用。多种信号通路协同调控花粉管的极性生长,ROP (Rho-related GTPases of plants)所介导的信号途径是花粉管极性生长调控网络中的主要参与者,也是植物其他细胞极性生长的关键调节因子。本研究将以拟南芥等植物的花粉管作为对象,对ROP信号途径进行简要叙述,旨在更全面地展现ROP在花粉管极性生长中的分子机制,为植物小G蛋白ROP的功能研究提供借鉴。
