Southwest Petroleum University

Hu Deng

Xiang Gao

Qingyou Liu

Yan Chen

Guorong Wang

Yang Tang

Yufa He

Yang Wang

Ping Li

Jinzhong Wang

Jinhai Zhao

Xiangchao Shi

Peng Zhao

Yuan Zhong

Yuming Wang

Yuehao Liu

Liming Fan

Rutao Ma

Yulin Zhang

Zhicheng Li

Gaocheng Feng

Yuchuan An

Miantao Guan

Yu Yi

Yangbing Li

Ming Xian

The disclosure relates to an omni-directional horizontally oriented deflecting tool for a coiled tubing, which includes an inner central pipe, an outer central pipe, a conical outer cylinder, a piston outer cylinder, an anchoring mechanism, a sealing mechanism, a reversing mechanism and a steering mechanism. The anchoring mechanism includes a cone, an O-shaped sealing ring I, a cone spring, a slip, a slip spring, a slip seat, a claw I and a pin shaft I, and the sealing mechanism includes a piston, an O-shaped sealing ring II, a claw II, a pin shaft II, an upper rubber cylinder seat, a rubber cylinder, a connecting cylinder, a lower rubber cylinder seat and a gasket.

Omni-directional horizontally orientaed deflecting tool for coiled tubing

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.

Method for predicting and optimizing rate of penetration (ROP) for oil and gas drilling based on bayesian optimization

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Chengdu, China

Hu Deng