In the O&G industry, drilling is a complex and challenging process that requires advanced technology and expertise. One of the critical challenges that drilling teams face is the risk of stuck pipe incidents, which can cause significant delays and cost overruns.
Recently, Wintershall Dea Mexico drilling team successfully used the Exebenus Spotter technology to drill the offshore exploration well Kan-1EXP in Sureste Basin, Gulf of Mexico, without any stuck pipe incidents. Exebenus Spotter was used to monitor and analyze critical drilling parameters, such as weight on bit, torque, and ROP, and make real-time adjustments to drilling operations. This allowed to maintain optimal drilling conditions and avoid any issues that could lead to stuck pipe incidents.
Furthermore, the drilling team also used Exebenus Spotter to identify potential drilling hazards, such as unstable formations or high-pressure zones, and take proactive measures to mitigate these risks.
The successful use of Exebenus Spotter technology in drilling the Kan-1EXP well is a testament to the effectiveness of advanced machine learning drilling technologies in improving performance and reducing risk. It also highlights the importance of having a skilled and experienced drilling teams that can leverage these technologies to achieve optimal results.
To learn more about Exebenus Spotter and machine learning for drilling for stuck pipe prevention click here.
From left: Kut K. Karahasan, Dalila Gomes, Thomas Jaritz, Ruben Aguirre, and Ludovic Mohr (in the back).