Automated Real-Time Hookload and Torque Monitoring

Abstract

Today important parameters to enable a reduction of lost and hidden lost time during drilling, like hook loads for pulling and slacking off the drill string, and torque for drill string rotation, are still taken manually. Analysing torque trends during drilling and reaming is hardly done.A key to reduce lost and hidden lost time by analysing drilling data is to automatically recognize ongoing operations in real time from this data. That allows the automatic identification and picking of pulling-up; slacking-off and rotating hook loads, as well as torque values without spending extra time or work force. Relevant parameters can be sampled and analysed automatically in real time from the rig sensor data stream without interfering drilling operations. This automated process allows monitoring changing torque and drag trends for each stand of drill string moved during drilling, tripping, or reaming operations. To monitor trends in the torque and drag development in real time, parameters may be combined with simulated hook load and torque curves in a graphical way. Simulated values are imported from engineering applications. This allows the user to react immediately, not only after hand taken values are manually entered into a graph. The possibility to broadcast all the data to computers worldwide enables a great level of cooperation. Instant measures against increasing torque and drag can be taken before reaching critical ranges on a stand per stand basis. Also excessive reaming and washing can be avoided as low torque and drag may be an indication for a good hole quality. This can save wellbore treatment time. The paper presents the development of the system, its validation against live well data from recent 20,000ft wells in the Vienna basin and the planned application of the system on an extended reach field development project offshore New Zealand.

Proof of the multi-Regge form of QCD amplitudes with gluon exchanges in the NLA

“…Now all these conditions are proved to be satisfied, and this means that the gluon Reggeization is true, contrary to the statement of Ref. [12].…”

“…[11]). Meanwhile, there is the statement [12] that the Regge form of QCD amplitudes is violated at the three-loop level in the next-to-leading order (NLO), that means, in our terminology, absence of the gluon Reggeization in the NLA. It makes extremely important the problem of proving or rejecting the Reggeization hypothesis in this approximation.…”

Intelligent Data Quality Control of Real-time Rig Data

“…The predicted data channel can be calculated using either heuristic or analytical models (Kucs, 2008, Niedermayer, 2010, Fruhwirth, 2006, and Arnaout, 2012). An Intelligent KPI can be suggested based on the difference between the actual and predicted data channels, for example, the pump pressure data channel can predicted using a heuristic model (which is trained using data from offset wells to predict the value) and also by running an analytical hydraulics programme.…”

Case History: Automated Drilling Performance Measurement of Crews and Drilling Equipment

“…The driller should follow the best practice and only make changes from it if he observers deviating trends from established engineering plots. Kucs, et al [5] and Freithofnig, et al [6].…”