Session: 12-12-01: Modeling of the Fracture, Failure, and Fatigue in Solids

Paper Number: 145531

145531 - Accelerating Damage Mechanics-Based Simulation of Cutter-Rock Interaction With an Integrated Cloud Cae Platform 

How to enhance the rock-breaking efficiency is the prerequisite for improving the rate of penetration (ROP) in drilling. The investigation of rock-breaking mechanism in cutting is essential to evaluate and design the drill bit. Over the years, oil and gas industry has developed a deep knowledge in cutter-rock interaction (CRI) that is vital for optimizing drilling and excavation processes. Drill bit design and drilling optimization requires a labor-intensive process to study CRI, which usually requires significant effort and resources based on experimental characterization. Therefore, design and implementation of a high performing platform to enable efficient prediction of cutter-rock interaction is highly desired.

 

In this study, a new virtual CRI platform-Digital Rock Lab (DRL) has been developed for accelerating accurate simulation of cutter-rock interaction at scale. The nonlinear FEA (Finite Element Analysis) models that can reasonably describe the cutter-rock interaction mechanism with damage mechanics are first developed, which serve as the compute engine for the CAE platform. It has been shown that the developed FEA models agree favorably with experimental results in terms of cutting forces for various rocks, which has validated the modeling approach.  We then introduce the process of developing a cloud-based computation platform for virtual cutter-rock interaction and showcases its advantages over traditional on-premises computing solutions. We highlight how the cloud-based platform replaces a years-long laborious lab testing process that is necessary to the drill bit and cutting element development. This study aims to demonstrate the benefits of our cloud-based virtual CRI solution, including its novelty, efficiency, and sustainability advantages. Furthermore, the use of the platform can significantly reduce the cost and time for physical verification and validation (V&V) process that is necessary to minimize new product risks in the development, making it a more sustainable solution.

Presenting Author: Fei Song SLB

Presenting Author Biography: Fei Song is currently a senior modeling and simulation engineer with SLB.

Authors:

Xiaoge Gan SLB
Fei Song SLB
Shun Zhao SLB
Huseyin Murat Panayirci SLB
Xuan Gu SLB
Steven Villareal SLB
Ke Li SLB
Laurent Alteirac SLB
Youhe Zhang SLB
Ole Gjertsen SLB