DOWNHOLE DRILLING MOTORS

Brand Owner (click to sort) Address Description
ACCUDRILL Guided Boring Systems, Inc. 2916 West T.C. Jester Houston TX 770187098 downhole drilling motors;ACCURATE DRILL;
DELTA 1000 SMITH INTERNATIONAL, INC. 1310 Rankin Road Houston TX 77073 DOWNHOLE DRILLING MOTORS;
DELTA 500 SMITH INTERNATIONAL, INC. 1310 Rankin Road Houston TX 77073 DOWNHOLE DRILLING MOTORS;
DELTA 500 PLUS 4 SMITH INTERNATIONAL, INC. 1310 Rankin Road Houston TX 77073 DOWNHOLE DRILLING MOTORS;
DYNA-DRILL SMITH INTERNATIONAL, INC. 1310 Rankin Road Houston TX 77073 Downhole Drilling Motors;
DYNA-DRILL DYNA-DRILL TECHNOLOGIES, INC. 4660 WORLD HOUSTON PARKWAY HOUSTON TX 77032 Downhole Drilling Motors;
DYNA-DRILL TECHNOLOGIES SMITH INTERNATIONAL, INC. 1310 Rankin Road Houston TX 77073 Downhole drilling motors;Color is not claimed as a feature of the mark.;Technologies;
HYDRA-DRILL HOUSTON ENGINEERS, INC. Houston TX downhole drilling motors;
MAGNA Teleco Oilfield Services Inc. 2081 S. Main St. Middletown CT 06457 DOWNHOLE DRILLING MOTORS;
MAGNA DRILL Teleco Oilfield Services Inc. 2081 S. Main St. Middletown CT 06457 DOWNHOLE DRILLING MOTORS;DRILL;
TERRADRILL Guided Boring Systems, Inc. 2916 West T.C. Jester Houston TX 770187098 downhole drilling motors;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. 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.