Petrophysical data prediction from seismic attributes using committee fuzzy inference system
MetadataShow full item record
The link to the journal’s home page is:http://www.elsevier.com/wps/find/journaldescription.cws_home/622273/description#description. Copyright © 2009 Elsevier B.V. All rights reserved
This study presents an intelligent model based on fuzzy systems for making aquantitative formulation between seismic attributes and petrophysical data. The proposed methodology comprises two major steps. Firstly, the petrophysical data, including water saturation (Sw) and porosity, are predicted from seismic attributes using various Fuzzy Inference Systems (FIS), including Sugeno (SFIS), Mamdani (MFIS) and Larsen (LFIS). Secondly, a Committee Fuzzy Inference System (CFIS) is constructed using a hybrid Genetic Algorithms-Pattern Search (GA-PS) technique. The inputs of the CFIS model are the output averages of theFIS petrophysical data. The methodology is illustrated using 3D seismic and petrophysical data of 11 wells of an Iranian offshore oil field in the Persian Gulf. The performance of the CFIS model is compared with a Probabilistic Neural Network (PNN). The results show that the CFIS method performed better than neural network, the best individual fuzzy model and a simple averaging method.
Showing items related by title, author, creator and subject.
Synthesis of capillary pressure curves from post stack seismic data with the use of intelligent estimators: A case study from the Iranian part of the South Pars gas field, Persian Gulf BasinGolsanami, N.; Kadkhodaie, Ali; Erfani, A. (2015)Capillary pressure curves are important data for reservoir rock typing, analyzing pore throat distribution, determining height above free water level, and reservoir simulation. Laboratory experiments provide accurate data, ...
A new co-operative inversion strategy via fuzzy clustering technique applied to seismic and magnetotelluric dataThong Kieu, D.; Kepic, Anton (2015)Geophysical inversion produces very useful images of earth parameters; however, inversion results usually suffer from inherent non-uniqueness: many subsurface models with different structures and parameters can explain ...
Prediction of sonic velocities from other borehole data: An example from the Kevitsa mine site, northern FinlandKieu, D.; Kepic, Anton; Kitzig, M. (2018)P-wave and S-wave velocities are vital parameters for the processing of seismic data and may be useful for geotechnical studies used in mine planning if such data were collected more often. Seismic velocity data from ...