公开(公告)号：US20040256152A1

公开(公告)日：2004-12-23

申请号：US10814918

申请日：2004-03-31

Applicant: Baker Hughes Incorporated

Inventor： Dmitriy Dashevskiy ,  John D. MacPherson ,  Vladimir Dubinsky ,  Pat McGinley

IPC: E21B025/16 ,  E21B019/08

CPC classification number: E21B44/00 ,  E21B2041/0028

Abstract: A drilling control system provides, in one aspect, advisory actions for optimal drilling. Such a system or model utilizes downhole dynamics data and surface drilling parameters, to produce drilling models used to provide to a human operator with recommended drilling parameters for optimized performance. In another aspect, the output of the drilling control system is directly linked with rig instrumentation systems so as to provide a closed-loop automated drilling control system that optimizes drilling while taking into account the downhole dynamic behavior and surface parameters. The drilling models can be either static or dynamic. In one embodiment, the simulation of the drilling process uses neural networks to estimate some nonlinear function using the examples of input-output relations produced by the drilling process.

Abstract translation: 钻井控制系统在一个方面提供了用于最佳钻井的咨询动作。 这种系统或模型利用井下动力学数据和表面钻井参数，以产生用于向人类操作者提供用于优化性能的推荐钻孔参数的钻孔模型。 在另一方面，钻井控制系统的输出与钻机仪表系统直接相连，以便提供一种闭环自动钻井控制系统，其优化钻井同时考虑到井下动态特性和表面参数。 钻孔模型可以是静态的或动态的。 在一个实施例中，钻井过程的模拟使用神经网络来估计一些非线性函数，使用钻井过程产生的输入 - 输出关系的例子。