Abstract: A printing device includes: a base; a printing platform, the printing platform being connected to the base; a printing bracket, the printing bracket being fixed on the base; and a printing head assembly, the printing head assembly being connected to the printing bracket and being arranged above the printing platform, and the printing head assembly including a bearing member, a discharging assembly and an optical assembly. The discharging assembly and the optical assembly are both arranged on the bearing member, the discharging assembly is used for providing printing materials of at least two colors for the printing platform, and the optical assembly is used for curing the printing materials on the printing platform. The printing device can implement three-dimensional color printing.

Abstract: A method for predicting and optimizing an ROP for oil and gas drilling based on Bayesian optimization includes: acquiring raw drilling data according to a preset sampling period, constructing an initial sample data set based on the raw drilling data, constructing an ROP prediction model based on the initial sample data set, and predicting an ROP at a next sample point through a Gaussian process regression based on the ROP prediction model. The present invention realizes rapid analysis of historical drilling data and accurate prediction of an ROP range at a sample point in a feasible domain. The method can obtain an optimized ROP and an optimized engineering parameter through Bayesian optimization, and obtain an engineering parameter corresponding to an optimal ROP. The method has few restrictions on the drilling engineering parameter and the raw formation parameter, improves prediction accuracy, and avoids the problem of blurred parameter value boundaries.

Abstract: A printing device includes: a base; a printing platform, the printing platform being connected to the base; a printing bracket, the printing bracket being fixed on the base; and a printing head assembly, the printing head assembly being connected to the printing bracket and being arranged above the printing platform, and the printing head assembly including a bearing member, a discharging assembly and an optical assembly. The discharging assembly and the optical assembly are both arranged on the bearing member, the discharging assembly is used for providing printing materials of at least two colors for the printing platform, and the optical assembly is used for curing the printing materials on the printing platform. The printing device can implement three-dimensional color printing.

Abstract: A method for predicting and optimizing an ROP for oil and gas drilling based on Bayesian optimization includes: acquiring raw drilling data according to a preset sampling period, constructing an initial sample data set based on the raw drilling data, constructing an ROP prediction model based on the initial sample data set, and predicting an ROP at a next sample point through a Gaussian process regression based on the ROP prediction model. The present invention realizes rapid analysis of historical drilling data and accurate prediction of an ROP range at a sample point in a feasible domain. The method can obtain an optimized ROP and an optimized engineering parameter through Bayesian optimization, and obtain an engineering parameter corresponding to an optimal ROP. The method has few restrictions on the drilling engineering parameter and the raw formation parameter, improves prediction accuracy, and avoids the problem of blurred parameter value boundaries.