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Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594220
... Self-organizing mapping (SOM) is one of the most famous classification method in seismic facies analysis. Traditional self-organizing map network and its variation methods usually use the Euclidean distance to measure the similarity between input data and weights of neuron node. A Euclidean...
Jiangli Chen, Shanzheng Hu, Xiao-Bi Xie, Xiaobin Zhang, Teng Huang, Yingchun Lei, Zilong Li, Qiang Zhang
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3422791
... important results were achieved. In this paper, we present a terrain risk classification method based on the DEM, and introduce its applications, such as optimized deployment of source and receivers, planning survey routes and lift locations of helicopters, in mountainous areas of western China...
Shi'an Shen, Siqi Chi, Wenchao Chen, Xiaokai Wang, Zhensheng Shi, Yanhui Zhou, Chunlin Xie, Cheng Wang
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215301
... geologic body is seriously affected by the strong reflection (background interference) of the overlying stratum or the underlying strata in field seismic data, so that it is often difficult to identify the reservoir geologic body by applying the waveform classification method to original data directly...
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17790222
... ABSTRACT In this paper we describe a data classification method that is designed to estimate pore fluid type. In practice, this method will use Vp, Vs, density, porosity and pore fluid type information from well logs to estimate pore fluid type in an earth model where Vp, Vs and density have...
Paper presented at the 2011 SEG Annual Meeting, September 18–23, 2011
Paper Number: SEG-2011-3774
... software reference list characteristic polarizability tensor instrument detection electromagneticc instrument classification method algorithm metalmapper munition item demonstration machine learning classification uxo characterization artificial intelligence unexploded ordnance...
Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-1560
... upstream oil & gas classification method pca principal component ABSTRACT A Summary A vast amount of data is obtained during the development of a petroleum field. Seismic data, well logs, core and production data, all contribute to a better reservoir characterization and modeling. Several...
Paper presented at the 2009 SEG Annual Meeting, October 25–30, 2009
Paper Number: SEG-2009-1885
... classification training data seg houston 2009 reservoir characterization deterministic model geoscientist reconstruction rate probability application supervised classification international exposition facies group information classification method deposit upstream oil & gas...
Paper presented at the 2007 SEG Annual Meeting, September 23–28, 2007
Paper Number: SEG-2007-1515
... efforts to apply advanced classification methods in exploration and production seismology, including cluster, discriminant analysis, Bayesian classification, neural network, and support vector machine etc. There are numerous papers on this aspect. For example, Sagga (2003) presented an approach based...
Paper presented at the 1996 SEG Annual Meeting, November 10–15, 1996
Paper Number: SEG-1996-1779
... ABSTRACT No preview is available for this paper. gullfaks field training data artificial intelligence mapping classification method unsupervised classification caprock supervised classification method seismic data upstream oil & gas seismic response drainage reservoir...
Paper presented at the 1993 SEG Annual Meeting, September 26–30, 1993
Paper Number: SEG-1993-0230
... data reservoir characterization artificial intelligence amplitude classification technique discriminatory power pattern recognition imaging classification method C o m p u t i n g T e c h n i q u e s 4 : P a t t e r n R e c o g n i t i o n N e u r a l N e t w o r k s T h u r s d a y M o r n...
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