NDLI: Petroleum reservoir and non-reservoir discrimination analysis based on data mining algorithm

Content Provider	IEEE Xplore Digital Library
Author	Li Ai-hua Shi Yong
Copyright Year	2010
Description	Author affiliation: Research Center of Fictitious Economics and Data Science, Chinese Academy of Science, P.R. China, 100080 (Shi Yong) \|\| School of Management Science and Engineering, Central University of Finance and Economics, P.R. China, 100081 (Li Ai-hua)
Abstract	Data Mining is an effective tool to “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data”. And in petroleum industry there are numerous data needed to be analyzed to assist the petroleum exploitation decision. In this paper, petroleum reservoir and non-reservoir characteristics reorganization analysis are put forward based on data mining method. Relative date sets collected from petroleum exploration are transformed and integrated first. Three kinds of classification methods are introduced, which are Linear Discriminate Analysis (LDA), Decision Tree and Multi-criteria Linear Programming (MCLP). And they are used here for reservoir and non-reservoir discrimination analysis. The experiment result shows that it is feasible to predict the reservoir level and non-reservoir level in oil field based on the existing history data sets with data mining method and algorithm.
Starting Page	40
Ending Page	44
File Size	83366
Page Count	5
File Format	PDF
ISBN	9781424481163
ISSN	21551855
e-ISBN	9781424481194
DOI	10.1109/ICMSE.2010.5719782
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-24
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy data mining petroleum industry Reservoirs reservoir and non-reservoir Data mining classification Petroleum Classification tree analysis Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in