Apps

## Apps.DrillComm History

February 02, 2013, at 09:57 PM by 69.169.188.188 -
Changed line 30 from:
t[2:10] = t[1:9] + 10  ! temperature increases by 5°C with each segment
to:
t[2:10] = t[1:9] + 10  ! temperature increases by 10°C with each segment
June 16, 2012, at 11:05 PM by 69.169.188.228 -
Changed line 15 from:
Below is a simple example of a mathematical model of inductor-connected wire-in-pipe technology provided by IntelliServ, a JV between Slumberger and NOV. The model describes the behavior of the communication platform in transmitting signals from the Bottom Hole Assembly (BHA) to the top-side computers.
to:
Below is a simple example of a mathematical model of inductor-connected wire-in-pipe technology provided by IntelliServ, a joint venture between Slumberger and NOV. The model describes the behavior of the communication platform in transmitting signals from the Bottom Hole Assembly (BHA) to the top-side computers.
June 16, 2012, at 11:04 PM by 69.169.188.228 -
Changed line 2 from:
(:keywords upstream, wire in pipe, mud pulsing, mud pulse, Slumberger, Intelliserv, NOV:)
to:
(:keywords upstream, wire in pipe, mud pulsing, mud pulse, Slumberger, IntelliServ, NOV:)
Changed line 15 from:
Below is a simple example of a mathematical model of inductor-connected wire-in-pipe technology provided by Intelliserv, a JV between Slumberger and NOV. The model describes the behavior of the communication platform in transmitting signals from the Bottom Hole Assembly (BHA) to the top-side computers.
to:
Below is a simple example of a mathematical model of inductor-connected wire-in-pipe technology provided by IntelliServ, a JV between Slumberger and NOV. The model describes the behavior of the communication platform in transmitting signals from the Bottom Hole Assembly (BHA) to the top-side computers.
June 16, 2012, at 11:03 PM by 69.169.188.228 -
Changed lines 7-9 from:
''Drowning in Data, Starving for Information''

Measurement technology is advancing in the oil and gas industry. Innovations such as wireless transmitters
, reduced cost of measurement technology, and increased regulations that require active monitoring have the effect of increasing the number of available measurements.
to:
Measurement technology is advancing in the oil and gas industry. Innovations such as wireless transmitters, reduced cost of measurement technology, and increased regulations that require active monitoring have the effect of increasing the number of available measurements. Increased bandwidth does not necessarily lead to improved operations. Some describe this as ''Drowning in Data, Starving for Information''.
June 16, 2012, at 11:01 PM by 69.169.188.228 -
Changed line 17 from:
Below is a simple example of a mathematical model of inductor-connected wire-in-pipe technology provided by Intelliserv, a JV between Slumberger and NOV.
to:
Below is a simple example of a mathematical model of inductor-connected wire-in-pipe technology provided by Intelliserv, a JV between Slumberger and NOV. The model describes the behavior of the communication platform in transmitting signals from the Bottom Hole Assembly (BHA) to the top-side computers.
June 16, 2012, at 11:00 PM by 69.169.188.228 -
Changed lines 65-67 from:
</pre></font>(:htmlend:)
to:
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June 16, 2012, at 10:58 PM by 69.169.188.228 -
Changed line 11 from:
Attach:mud_pulse.jpg
to:
Attach:mud_pulse.png
June 16, 2012, at 10:58 PM by 69.169.188.228 -
(:title Wire in Pipe for Drill Shaft Communication:)
(:keywords upstream, wire in pipe, mud pulsing, mud pulse, Slumberger, Intelliserv, NOV:)
(:description Detailed modeling of wire-in-pipe communication for increased data communication rates for horizontal drilling.:)

''Drowning in Data, Starving for Information''

Measurement technology is advancing in the oil and gas industry. Innovations such as wireless transmitters, reduced cost of measurement technology, and increased regulations that require active monitoring have the effect of increasing the number of available measurements.

Attach:mud_pulse.jpg

This flood of information can be distilled into relevant and actionable information with Advanced Process Monitoring. The purpose of APM is to validate measurements and align imperfect mathematical models to the actual process. The objective of this approach is to determine a best estimate of the current state of the process and any potential disturbances. The opportunity is in earlier detection of disturbances, process equipment faults, and improved state estimates for optimization and control.

Below is a simple example of a mathematical model of inductor-connected wire-in-pipe technology provided by Intelliserv, a JV between Slumberger and NOV.
Changed lines 21-23 from:
! http://www.apmonitor.com

! The principal input to the model is the voltage to the motor.
to:
June 16, 2012, at 10:42 PM by 69.169.188.228 -

Attach:intelliserv.jpg
March 06, 2010, at 02:37 AM by 206.180.155.75 -
!! Drill Shaft Communication

(:html:)<font size=2><pre>
! APMonitor Modeling Language
! http://www.apmonitor.com

! The principal input to the model is the voltage to the motor.
! Parameters include resistance (ohm), winding inductance (henrys)
Model pipe
Parameters
! communication parameters
v_in = 0      ! input voltage (Volt)
R = 0.1      ! resistance (Ohm)
L = 1e-5      ! inductance (Henry)
C = 1e-8      ! capacitance (Farad)

t[1] = 23    ! temperature in first pipe segment (°C)
t[2:10] = t[1:9] + 10  ! temperature increases by 5°C with each segment

n[1:10] = 100 ! number of windings on each pipe segment
! can modify for different number of windings on each end
End Parameters

Variables
i[1:10] = 0  ! current (Amps)
v[1:10] = 0  ! voltage (Volt)
End Variables

Intermediates
! loss across pipe connections (dB)
! linear correlation (20°C = 0.5 dB, 120°C = 1.5 dB)
dB[1:10] = (t[1:10] - 20) * (1.5-0.5)/(120-20) + 0.5

! inductor to inductor transfer efficiency
eff[1:10] = 10^(-db[1:10]/20), >=0, <=1
eff_avg[1:9] = (eff[1:9] + eff[2:10]) / 2
End Intermediates

Equations
! input voltage effect on current in 1st pipe
L*$i[1] = -R*i[1] + v_in ! current dynamics in each segment L*$i[2:10] = -R*i[2:10] + (n[2:10]/n[1:9]) * v[1:9] * eff_avg[1:9]

! voltage dynamics from capacitance
C * \$v[1:10] = i[1:10] - v[1:10]/R
End Equations

End Model
</pre></font>(:htmlend:)