G - Physics – 06 – N
Patent
G - Physics
06
N
G06N 3/02 (2006.01) E21B 44/00 (2006.01) G06F 19/00 (2006.01) E21B 41/00 (2006.01)
Patent
CA 2350371
A method for determining a value for a drilling operating parameter is disclosed. The method includes entering a design parameter for a drill bit into a trained neural network. A value of a property of an earth formation which is to be drilled is entered into the trained neural network, and the value of the drilling parameter is selected based on an output of the trained neural network. Examples of bit parameters include diameter and number and type of cutting elements on the bit, as well as hydraulic nozzle configuration. Examples of drilling operating parameters include weight on bit, drilling fluid flow rate and rotary speed of the bit. Examples of formation properties include compressive strength, abrasiveness, natural gamma radiation, electrical resistivity and acoustic velocity. The neural network in one embodiment is trained by entering values of drilling operating parameters, formation parameters and bit design parameters from drilled wellbores into the neural network.
Moran David Patrick
Robertson James Alexander
Borden Ladner Gervais Llp
Smith International Inc.
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