Schlumberger Technology Corporation

Yao Feng

Jing Wang

Ping Zhang

Aria Abubakar

Helen Xiaoyan Zhong

Ettore Mirto

Hui Xie

QingFeng Zhu

Farid Toghi

Yue Qiu

Joseph Gremillion

Michael Bower

Jiazhen Yang

Ziyuan Xu

Zhiyi Zhang

Bingqi Liu

Zhenhua Li

Yan Song Huang

Ji Li

Yan Kai Xu

A system and method may include receiving data acquired by a downhole tool of a tool string disposed at least in part in a borehole in a subsurface region. The system and method may also include inverting the data using a trained machine learning model to generate a structural feature of the subsurface region. The system and method may further include controlling operation of the tool string based at least in part on the structural feature of the subsurface region.

Geosteering control framework

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

Growing community of inventors

Sugar Land, TX, United States of America

Yao Feng