Machine learning techniques with system-in-the-loop for petroleum and natural gas telemetry systems

• Main Authors: OSSIA, SERGIO, GELMAN ANATOLY, JARO, ANDREAS, CROOKS ANDREW
• Format: Patent
• Language: Chinese; English
• Published: 15.03.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; EARTH DRILLING; EARTH DRILLING, e.g. DEEP DRILLING; FIXED CONSTRUCTIONS; MINING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS; PHYSICS

A telemetry system is provided. The telemetry system includes a transmitter configured to convert digital bits representative of petroleum and natural gas operations into analog signals and transmit the analog signals via a communication channel. The telemetry system also includes a receiver configured to receive the analog signal and to convert the analog signal to output digital bits via an encoder, where the receiver includes one or more receiver components configured to receive the analog signal and to convert the analog signal to output digital bits via the encoder. The one or more receiver components are trained via machine learning to process the analog signals to obtain improved communications. 提供了一种遥测系统。所述遥测系统包括发射器，所述发射器被配置将表示石油和天然气操作的数字位转换成模拟信号并且经由通信信道发射所述模拟信号。所述遥测系统还包括接收器，所述接收器被配置为接收所述模拟信号并经由编码器将所述模拟信号转换成输出数字位，其中所述接收器包括一个或多个接收器部件，所述一个或多个接收器部件经由机器学习进行训练以处理所述模拟信号以获得改进的通信。