Study on oil-gas reservoir rule extraction and automatic identification based on rough set

Lvewei Wu; Anbo Li; Yuchao Dai; Chaoying Feng

doi:10.1117/12.815717

29 December 2008 Study on oil-gas reservoir rule extraction and automatic identification based on rough set

Lvewei Wu, Anbo Li, Yuchao Dai, Chaoying Feng

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728547 (2008) https://doi.org/10.1117/12.815717
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

A rough set based method for oil-gas reservoir rule extraction and automatic identification through petroleum logging data is provided in this paper. Based on the traditional way of rough set data mining, this method makes adjustments to the mining procedure and optimizes the reduction, discretization, and rule generation steps respectively via Sweep Forward Neighborhood Fast Algorithm, Fuzzy Clustering FCM Algorithm, and CAAI Decision Tree Algorithm, allowing itself more applicable to the issue of oil-gas reservoir rule extraction through petroleum logging data. Afterwards, the automatic identification of oil-gas reservoir is enabled by a case-based reasoning method. This paper analyzes the applicability of rough set method and case reasoning to petroleum logging data, and verifies algorithms' feasibility through an actual set of petroleum logging data.

Citation Download Citation

Lvewei Wu, Anbo Li, Yuchao Dai, and Chaoying Feng "Study on oil-gas reservoir rule extraction and automatic identification based on rough set", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728547 (29 December 2008); https://doi.org/10.1117/12.815717

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available