Sangeetha, G. and kumar, B. Arun and Srinivas, A. and Krishna, Siva and Gobinath, R and Awoyera, P. O. (2019) Optimization of Drilling Rig Hydraulics in Drilling Operations Using Soft Computing Techniques. SpringerLink. pp. 849-862. ISSN 1570-646X
![[img]](http://eprints.covenantuniversity.edu.ng/style/images/fileicons/application_pdf.png) |
PDF
Download (43kB) |
Abstract
The primary goal for all oil and gas producing companies is to produce oil as much as possible by optimization with lower cost. One way to increase the productivity index is essentially related to a proper drilling technique. In this study, optimization of drilling rig hydraulics in drilling operations was performed using soft computing techniques. Data such as flow rate, the angle of inclination, yield point, plastic viscosity and depth of the well were used as input. Thus, using the neural network (ANN) approach, five process parameters are the inputs to the model and output from this model is cutting concentration. The best model for the drilling rig contains five input parameters, seven hidden layers and one output parameter. The optimization aids the inherent characteristics of the system as well as the factors like exorbitant surface torque, unexplained drop in the rate of infiltration and a sudden change in surface weight
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Drilling Drilling fluid carrying capacity Hydraulics Optimization Rate of infiltration Rate of penetrations |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 29 Jan 2021 15:50 |
| Last Modified: | 29 Jan 2021 15:50 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/13817 |
Actions (login required)
 |
View Item |
