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All Journal HIGEIA (Journal of Public Health Research and Development) Journal of Geoscience, Engineering, Environment, and Technology JOURNAL OF EARTH ENERGY ENGINEERING International Journal of Engineering, Science and Information Technology
Ira Herawati, Ira
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Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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Journal : Journal of Geoscience, Engineering, Environment, and Technology

 1 
Analyzing The Statistics Function For Determination Of Oil Flow Rate Equation in New Productive Zone Herawati, Ira; Rita, Novia; Novrianti, Novrianti; Taufand, Rosalia M
Journal of Geoscience, Engineering, Environment, and Technology Vol 2 No 1 (2017): JGEET Vol 02 No 01 : March (2017)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.583 KB) | DOI: 10.24273/jgeet.2017.2.1.34

Abstract

Oil rate will be decline at production time in a well. So, we have to produce in another layer who assume have a potential. Before we produce another layer who assumed have a potential, we need to predict oil rate to known how much oil gain. In this field research oil rate prediction in new productive zone was determine following by analogical data and near well references. In this method there is a difference determine of oil rate for each people. Cause of that, in this research using analysis statistical for oil rate predicting in new productive zone based on linear function for Productivity Index (PI) and polynomial function for watercut. Determining equation of linear and polynomial functions for oil rate prediction measuring by production and logging data for each well who assumed productive zone in area X field RMT. Based of statistically analysis for linear function known that coefficient determination (r2) = 0.9964 and polynomial function known that coefficient determination (r2) = 0.9993. This result indicated that we can use both of the functions for oil rate prediction in new productive zone in area X field RMT. After that, based on both of functions calculate oil rate prediction each wells in area X field RMT. So, known differences in oil rate prediction between oil rate data in area X field Y known is 28.13 BOPD or 0.78%.
Analysis of Petroleum Downstream Industry Potential in Riau Province Erfando, Tomi; Herawati, Ira
Journal of Geoscience, Engineering, Environment, and Technology Vol 2 No 2 (2017): JGEET Vol 02 No 02 : June (2017)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.226 KB) | DOI: 10.24273/jgeet.2017.2.2.304

Abstract

Petroleum downstream industry in Riau Province is still not optimal. The data shows that from 98,892,755 barrels lifting oil each year only 62,050,000 barrels could be processed in refinery unit II Dumai operated by PT Pertamina. There is a potential of 35-40% of downstream industry. Indonesian Government through The Ministry of Energy and Mineral Resources declared the construction of a mini refinery to boost oil processing output in the downstream sector. A feasibility study of development plan mini refinery is needed. The study includes production capacity analysis, product analysis, development & operational refinery  analysis and economic analysis. The results obtained by the mini refinery capacity is planned to process crude oil 6000 BOPD with the products produced are gasoline, kerosene, diesel and oil. Investment cost consist of is capital cost US $ 104419784 and operating cost US $ 13766734 each year with net profit earned US $ 12330063/year and rate of return from investment 11.63%
Co-Authors Alexander Sebayang Fitria Handayani Fitrianti Fitrianti, Fitrianti Idhamkamil, Idhamkamil Megah Andriany Muhammad Ariyon Novia Rita Novrianti Paskel, M. Piere Sam Rosalia M Taufand, Rosalia M Tarigan, Efrata Tarigan, Liwat Tomi Erfando, Tomi