Schlumberger Technology Corporation

Helen Xiaoyan Zhong

Mark T Frey

Ettore Mirto

Ping Zhang

Aria Abubakar

Peter T Wu

Weixin Dong

Steve F Crary

Christophe Dupuis

Hui Xie

QingFeng Zhu

Yao Feng

Yan Kai Xu

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

Methods capable of determining a depth of investigation of a logging tool can include generating an error distribution model for a logging tool. The methods can also include defining a detection threshold above which a measured signal from a measurement channel of the logging tool can be considered reliable based on output from the error distribution model, and generating a simulated formation model to determine the depth of investigation. The depth of investigation can be biased by the detection threshold.

Methods and systems to analyze bed boundary detection

A method for making gain compensated electromagnetic logging measurements of a subterranean formation includes rotating an electromagnetic logging tool in a subterranean wellbore. The logging tool includes a transmitter having at least one transmitting antenna axially spaced apart from a receiver having at least one receiving antenna. Electromagnetic waves are transmitted into the subterranean wellbore using the at least one transmitting antenna. Voltage measurements corresponding to the transmitted electromagnetic waves are received at the receiving antenna. The voltage measurements are processed to compute real and imaginary directional resistivity measurement quantities.

Real and imaginary components of electromagnetic logging measurements

Growing community of inventors

Sugar Land, TX, United States of America

Helen Xiaoyan Zhong