Sulistyarso, Harry Budiharjo and Irawati, Dyah Ayu and Pamungkas, Joko and Widiyaningsih, Indah (2021) Design of Petroleum Physical Properties Prediction Application. In: Design of Petroleum Physical Properties Prediction Application.
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Abstract
Based on the results of previous studies regarding the modeling of the physical properties of
petroleum, a mathematical model has been built to calculate the prediction of the physical properties
of petroleum. The prediction is based on viscosity, interfacial tension, and density data from the EOR
laboratory in UPN Veteran Yogyakarta. The model still cannot be used independently without the
Python environment, so to be used easily by more users, the model must be built into an independent
application that can be installed on the user's device. In this research, the application design for the
physical properties of petroleum prediction application will be carried out. The application is built
using the Multivariate Polynomial Regression method according to the model to predict the physical
properties of petroleum, and uses Naïve Bayes to classify the petroleum, and will be the changing
result ofthe physical properties of petroleum modeling that has been made in a previousstudy. The shift
from model to the application requires several adjustments, including user interface, system, and
database adjustments which are implemented as the designs of application. The design is done
before the application is built to suit user needs as the result of the research.
Keywords: Prediction Application Design, Physical Properties of Petroleum, Eor, Multivariate
Polynomial Regression, Naïve Bayes
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Prediction Application Design, Physical Properties of Petroleum, Eor, Multivariate Polynomial Regression, Naïve Bayes |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Ir, MT,IPM JOKO PAMUNGKAS |
| Date Deposited: | 08 Apr 2023 01:30 |
| Last Modified: | 08 Apr 2023 01:30 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/34040 |
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