18489874. DRILLING OPERATIONS FRAMEWORK simplified abstract (Schlumberger Technology Corporation)
Contents
DRILLING OPERATIONS FRAMEWORK
Organization Name
Schlumberger Technology Corporation
Inventor(s)
Graeme Paterson of Beijing (CN)
DRILLING OPERATIONS FRAMEWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 18489874 titled 'DRILLING OPERATIONS FRAMEWORK
The method described in the patent application involves acquiring real-time data during rig operations for drilling a borehole in a subsurface geologic region using a drillstring with stands of drill pipe. The data is used to calibrate a torque and drag model that predicts anomalies based on operation statistics.
- Acquiring real-time data during rig operations
- Calibrating a torque and drag model based on stand statistics
- Using the model to make predictions based on operation statistics
- Detecting anomalies in the drilling process
- Improving efficiency and safety in borehole drilling operations
Potential Applications: - Oil and gas drilling operations - Geothermal drilling projects - Mining exploration activities
Problems Solved: - Predicting anomalies in the drilling process - Improving accuracy in torque and drag modeling - Enhancing safety and efficiency in rig operations
Benefits: - Increased productivity in drilling operations - Reduced downtime due to equipment failures - Enhanced safety for rig personnel
Commercial Applications: Title: "Advanced Drilling Technology for Enhanced Efficiency in Borehole Operations" This technology can be utilized by oil and gas companies, geothermal energy producers, and mining companies to optimize their drilling operations and improve overall efficiency.
Questions about the technology: 1. How does the calibration of the torque and drag model improve drilling operations? 2. What are the potential cost savings associated with detecting anomalies in real-time during rig operations?
Original Abstract Submitted
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.
