| contributor author | Ke, Chong | |
| contributor author | Song, Xingyong | |
| date accessioned | 2022-02-05T22:35:27Z | |
| date available | 2022-02-05T22:35:27Z | |
| date copyright | 4/13/2021 12:00:00 AM | |
| date issued | 2021 | |
| identifier issn | 0195-0738 | |
| identifier other | jert_143_10_103202.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4277806 | |
| description abstract | This paper presents a dynamics model for the down-hole directional drilling system based on a hybrid modeling method with model order reduction. Due to the long dimension of the drill string, a drilling model purely based on numerical methods such as the finite element method (FEM) may require a large number of meshes, which induces high computational intensity. By using a hybrid method combining FEM and the transfer matrix method (TMM), the order of the model can be significantly reduced. To further reduce the modeling order, a proper orthogonal decomposition (POD)-Galerkin projection-based approach is applied, and a set of linear normal modes (LNMs) are identified to create a reduced-order projection subspace. To this end, simulation results are presented to prove that the method can effectively capture the dominant modes of the drilling dynamics, and a computationally efficient and high fidelity reduced-order hybrid model can be reached for real-time state estimation and control design. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Down-Hole Directional Drilling Dynamics Modeling Based on a Hybrid Modeling Method With Model Order Reduction | |
| type | Journal Paper | |
| journal volume | 143 | |
| journal issue | 10 | |
| journal title | Journal of Energy Resources Technology | |
| identifier doi | 10.1115/1.4050483 | |
| journal fristpage | 103202-1 | |
| journal lastpage | 103202-11 | |
| page | 11 | |
| tree | Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 010 | |
| contenttype | Fulltext | |