Schlumberger Technology Corporation

Jiaxing Uphoton Optoelectronics Technology Co., Ltd.

QingFeng Zhu

Hui Jin

Ping Zhang

Aria Abubakar

Gang Xu

Chenhao Dou

Ettore Mirto

Helen Xiaoyan Zhong

Hui Xie

Yao Feng

Robert James North

Yan Kai Xu

Jingli Yuan

Provided is a mobile apparatus obstacle detection system (), a mobile apparatus () carrying the obstacle detection system (), and a ground-sweeping robot. The obstacle detection system () comprises: a structured light projection module () configured to project structured light onto the path of advance of the mobile apparatus (), the structured light comprising at least one lateral detection line in the horizontal direction and at least one longitudinal detection line in the vertical direction; a camera module () configured to capture an image of the structured light (); and an image processing module () configured to calculate, according to the image of the structured light (), the distances and positions of obstacles () on the path of advance.

Mobile apparatus obstacle detection system, mobile apparatus, and ground-sweeping robot

A method for drilling includes obtaining formation-measurement pairings, training a machine-learning model using the formation-measurement pairings, receiving measurements obtained by a tool positioned in a well formed in a formation, and generating a formation model of at least a portion of the formation using the machine-learning model and the measurements. The formation model represents one or more physical parameters of the formation, one or more structural parameters of the formation, or both.

Geological interpretation with artificial intelligence

The present invention is a method of determining fluid phase distribution and quantifying holdup in a wellbore. The method includes receiving a plurality of oriented probe data and grouping the oriented probe data based on a depth interval. The grouped probe data is processed and fluid phase distribution information is generated based on the processed result.

Method to determine fluid phase distribution and quantify holdup in a wellbore

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Beijing, China

QingFeng Zhu