Tran Quang Huy creator Pham, Huy Giao Chairperson Noppadol Phien-Wej Examination Committee Doan Huy Hien Examination committee text th Pathum Thani Asian Institute of Technology 2012 monographic eng 56 leaves : ill., charts + 1 online resource This 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. A research study submitted in partial fulfillment of the requirement for the degree of Master of Engineering (Professional) in Geoexploration and Petroleum Geoengineering Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 2012 Porosity Vietnam Nam Con Son Basin Geophysical well logging Vietnam Nam Con Son Basin Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B01512 http://203.159.5.9/ait-thesis/detail.php?q=B01512 140623 20260818143724.0