Drilling operations framework

Abstract

A method may include acquiring real-time data during rig operations that include rig operations for drilling a borehole in a subsurface geologic region using a drillstring that includes a drill bit, where the drillstring includes stands of drill pipe; based on stand statistics, using at least a portion of the real-time data, calibrating a torque and drag model that models torque and drag of the drillstring in the borehole; based on operation statistics, calling for use of the torque and drag model to make a prediction; and, based at least in part on the prediction, detecting an anomaly.

What is claimed is: 
     
         1 . A method comprising:
 acquiring real-time data during rig operations that comprise rig operations for drilling a borehole in a subsurface geologic region using a drillstring that comprises a drill bit, wherein the drillstring comprises stands of drill pipe;   based on stand statistics, using at least a portion of the real-time data, calibrating a torque and drag model that models torque and drag of the drillstring in the borehole;   based on operation statistics, calling for use of the torque and drag model to make a prediction; and   based at least in part on the prediction, detecting an anomaly.   
     
     
         2 . The method of  claim 1 , wherein the anomaly comprises stuck drill pipe. 
     
     
         3 . The method of  claim 1 , wherein the anomaly comprises a precursor to struck drill pipe. 
     
     
         4 . The method of  claim 3 , wherein the precursor comprises a variation in one or more of pick-up forces and slack-off forces. 
     
     
         5 . The method of  claim 1 , comprising determining the stand statistics responsive to detection of a rig state indicative of adding a stand for increasing length of the drillstring. 
     
     
         6 . The method of  claim 1 , comprising determining the operation statistics responsive to detection of a rig state indicative of type of rig operation. 
     
     
         7 . The method of  claim 1 , comprising processing the real-time data to generate processed real-time data. 
     
     
         8 . The method of  claim 1 , comprising detecting a rig state based at least in part on the real-time data. 
     
     
         9 . The method of  claim 1 , wherein the calibrating, calling and detecting occur automatically. 
     
     
         10 . The method of  claim 1 , comprising, responsive to the detecting, issuing a signal. 
     
     
         11 . The method of  claim 10 , wherein the signal comprises an alarm. 
     
     
         12 . The method of  claim 10 , wherein the signal comprises a control signal for control of at least one piece of equipment. 
     
     
         13 . The method of  claim 1 , wherein the calibrating occurs at a connection of a stand to the drillstring. 
     
     
         14 . The method of  claim 1 , wherein the calibrating occurs during drilling using a stand added to the drillstring. 
     
     
         15 . The method of  claim 1 , comprising generating a visualization in real-time for assessing torque and drag with respect to measured depth of the drill bit. 
     
     
         16 . The method of  claim 15 , wherein the visualization comprises indicators of friction factors. 
     
     
         17 . The method of  claim 1 , wherein the calibrating utilizes a friction factor. 
     
     
         18 . The method of  claim 1 , wherein the calibrating utilizes a linear weight coefficient. 
     
     
         19 . A system comprising:
 a processor;   memory accessible by the processor;   processor-executable instructions stored in the memory and executable to instruct the system to:
 acquire real-time data during rig operations that comprise rig operations for drilling a borehole in a subsurface geologic region using a drillstring that comprises a drill bit, wherein the drillstring comprises stands of drill pipe; 
 based on stand statistics, using at least a portion of the real-time data, calibrate a torque and drag model that models torque and drag of the drillstring in the borehole; 
 based on operation statistics, call for use of the torque and drag model to make a prediction; and 
 based at least in part on the prediction, detect an anomaly. 
   
     
     
         20 . One or more computer-readable storage media comprising processor-executable instructions to instruct a computing system to:
 acquire real-time data during rig operations that comprise rig operations for drilling a borehole in a subsurface geologic region using a drillstring that comprises a drill bit, wherein the drillstring comprises stands of drill pipe;   based on stand statistics, using at least a portion of the real-time data, calibrate a torque and drag model that models torque and drag of the drillstring in the borehole;   based on operation statistics, call for use of the torque and drag model to make a prediction; and   based at least in part on the prediction, detect an anomaly.