DRILLING MUD ADDITIVE NAMELY

Brand Owner (click to sort) Address Description
CLS DX OILFIELD PRODUCTS 300 JACKSON HILL ST. HOUSTON TX 77007 DRILLING MUD ADDITIVE-NAMELY, A THINNING AGENT WHICH PROVIDES OPTIMUM CONTROL OF DISPERSION AND FILTRATION PROPERTIES;
CLS DIXIE CHEMICAL PRODUCTS, INC. 3635 W. DALLAS HOUSTON TX 77019 DRILLING MUD ADDITIVE-NAMELY, A THINNING AGENT WHICH PROVIDES OPTIMUM CONTROL OF DISPERSION AND FILTRATION PROPERTIES;
DRILLEZZ RED ADAIR CHEMICAL CO., INC. 3400 MONTROSE BLVD. HOUSTON TX DRILLING MUD ADDITIVE-NAMELY, A BLEND OF SYNTHETIC NON-FOAMING DRILLING SURFACTANTS AND METAL PROTECTING COMPOUNDS FOR USE IN A BOREHOLE;
DRISPAC CHEVRON PHILLIPS CHEMICAL COMPANY LP 10001 Six Pines Drive The Woodlands TX 77380 DRILLING MUD ADDITIVE-NAMELY, A POLYANIONIC CELLULOSE DERIVATIVE TO CONTROL VISCOSITY AND GEL STRENGTH;
FLOSAL JM ASBESTOS SALES INC. 2000 PEEL ST., SUITE 750 MONTREAL, QUEBEC H3A 2W4 Canada DRILLING MUD ADDITIVE-NAMELY, AN INORGANIC MINERAL USED TO INCREASE THE CARRYING CAPACITY AND SUSPENDING ABILITY OF DRILLING MUDS;FLOWSAL;
TRIL-OX DRIL DE MEXICO, S.A. MONTANA NO. 13 MEXICO CITY 18 Mexico DRILLING MUD ADDITIVE-NAMELY, INVERTED EMULSION MUDS USED IN THE DRILLING OF OIL WELLS;
TRILEX DRIL DE MEXICO, S.A. MONTANA NO. 13 MEXICO CITY 18 Mexico DRILLING MUD ADDITIVE-NAMELY, INVERTED EMULSION MUDS USED IN THE DRILLING OF OIL WELLS;
 

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.