DOWNHOLE DRILLING EQUIPMENT

Brand Owner (click to sort) Address Description
HYCALOG REEDHYCALOG, L.P. 7909 Parkwood Circle Drive Houston TX 77036 downhole drilling equipment; namely, drill bits and core bits used in oil and gas exploration;
REEDHYCALOG REEDHYCALOG, L.P. 7909 Parkwood Circle Drive Houston TX 77036 Downhole drilling equipment, namely, drill bits, core bits, parts and fittings for all the aforesaid goods used in oil and gas exploration;[ Distributorship services in the field of roller cone and fixed cutter drilling bits for use in the drilling processes of oil and gas wells ];[ Engineering and consulting services in the design of roller cone and fixed cutter drilling bits for use in the drilling processes of oil and gas wells ];
SUPERHAWK Tomahawk Downhole 116 Spinner Drive Broussard LA 70518 Downhole drilling equipment, namely, drilling motors, transmissions, bearing assemblies, motor housings, and parts therefor used in the oil and gas drilling, production, and workover industries;SUPER HAWK;
TOMAHAWK Tomahawk Downhole 116 Spinner Drive Broussard LA 70518 Downhole drilling equipment, namely, drilling motors, transmissions, bearing assemblies, motor housings, and parts therefor used in the oil and gas drilling, production, and workover industries;
 

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.