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AI/ML AND BLOCKCHAINED BASED AUTOMATED RESERVOIR MANAGEMENT PLATFORM

机译:AI / ML和基于块的自动储层管理平台

摘要

A system for managing well site operations comprising a well site operations module, a chain of blocks of a distributed network, and a sensor bank and control module. The operations module generates earth model variables using a physics model, well log variables or seismic variables, or both, and a trained AI/ML algorithmic model. The chain of blocks comprises a plurality of subsequent blocks. Each subsequent block comprises a well site entry and a hash value of a previous well site entry. A well site entry comprises transacted operation control variables. The well site operations module generates production operation control variables or development operation control variables from earth model variables. The well site entry can also include transacted earth model variables and sensor variables. The sensor bank and control module provides well log variables and the operations module couples control variables to the control module to control well site equipment.
机译:一种管理井网站操作的系统,包括井网站运营模块,分布式网络的块链和传感器组和控制模块。操作模块使用物理模型,井日志变量或地震变量,或两者和训练的AI / ML算法模型生成地球模型变量。块链包括多个后续块。每个后续块包括阱站点条目和前一个阱位点进入的哈希值。井网站条目包括交易操作控制变量。井网站运营模块从地球模型变量生成生产操作控制变量或开发操作控制变量。井网站条目还可包括交易地球模型变量和传感器变量。传感器组和控制模块提供良好的日志变量,操作模块将控制变量耦合到控制模块以控制井网站设备。

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