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008 140623s2012 th ad ||| 000 0 eng d
035 _a.b12135410
099 9 _aAIT RSPR no.PME-GEPG-11-01
100 0 _aTran Quang Huy
245 1 0 _aIntergration of wellog and seismic attribute data to predict porosity along a 2-D seismic line in Nam Con Son Basin using ANN analysis
260 _aPathum Thani :
_bAsian Institute of Technology,
_c2012
300 _a56 leaves :
_bill., charts +
_e1 online resource
490 1 _aResearch studies project report ;
_vno. PME-GEPG-11-01
500 _aA research study submitted in partial fulfillment of the requirement for the degree of Master of Engineering (Professional) in Geoexploration and Petroleum Geoengineering
502 _aResearch Studies Project Report (M.Eng.) - Asian Institute of Technology, 2012
520 _aThis study presents away to estimate porosity by seismic attribute and well logging data from limited well log. The first step in methodology is do a quick log analysis to choose the efficiency well log to calculate the porosity. Next, group of seismic attribute will be estimate by using Seismic Unix (SU).A seismic processing data was use as input to calculate the seismic attribute by using the complex analysis and L1-norm deconvolution. After that, the seismic attributes will be trained by porosity estimate from the well logging data. Neural network process is performed and generated an porosity prediction at well location. Final, the porosity along the 2D seismic line will be estimated based on seismic attribute by using ANN.
650 0 _aPorosity
_zVietnam
_zNam Con Son Basin
650 0 _aGeophysical well logging
_zVietnam
_zNam Con Son Basin
700 1 _aPham, Huy Giao,
_eChairperson
700 0 _aNoppadol Phien-Wej,
_eExamination Committee
700 0 _aDoan Huy Hien,
_eExamination committee
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. PME-GEPG-11-01
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B01512
907 _a.b12135410
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_tAbstract--AIT RSPR no.PME-GEPG-11-01
_vn
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945 _lmnait
942 _c20
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