Estimating pore pressure and fracture gradients is critical in achieving a successful drilling operation both onshore and offshore. With proper estimation of pore pressure and fracture gradient, drilling engineers can achieve accurate mud weight design, balancing and stabilizing the formation pressure without fracturing the formation. Optimizing mud weight design can prevent potential problems that include:
• Unexpected mud losses and lost circulation
• Potentially much higher cost of drilling
• Time delays in the drilling schedule and rig operations
• Lack of safety of the crew
In this use case, we will demonstrate the application of machine learning to predict real time pore pressure and fracture gradient using a targeted list of features. SpeedWise® ML (SML) is a web-based software platform hosted in the AWS secure cloud environment, allowing anyone in any size oil and gas company to conduct cutting-edge machine learning practices and predictive analysis.
After watching, jump into a free trial and try it for yourself: speedwiseml.com/
Learn more about using SML for solving universal Oil & Gas problems: qrigroup.com/SpeedWiseML
