Determining Equation of Oil Rate Prediction by Statistically Analysis Function in New Productive Zone

Material type: 文書・図像類

Author: HERAWATI, Iraほか

Publisher: Chiba University. Center for Environmental Remote Sensing

Publication date: 2016-11-21

Material Format: Digital

Capacity, size, etc.: -

NDC: -

View All

Notes on use

Note (General)：: type:text[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 ...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

Chiba University Repository for Access to Outcomes from Research
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
Chiba University Repository for Access to Outcomes from Research

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type: 文書・図像類
Title: Determining Equation of Oil Rate Prediction by Statistically Analysis Function in New Productive Zone
Author/Editor: HERAWATI, Ira
RITA, Novia
NOVRIANTI
TAUFAND, Rosalia M
Author Heading: HERAWATI, Ira
RITA, Novia
NOVRIANTI
TAUFAND, Rosalia M
Publication, Distribution, etc.: Chiba University. Center for Environmental Remote Sensing
Publication Date: 2016-11-21
Publication Date (W3CDTF): 2016-11-21
Periodical title: Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集
No. or year of volume/issue: 24
Volume: 24
Pages: 492-501
Text Language Code: eng
Target Audience: 一般
Note (General): type:text
[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%
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 千葉大学 : 千葉大学学術成果リポジトリ