Prediction of coal porosity using seismic and logging data
Coal reservoir is a dual porous rock composed of matrix pores and fractures with its unique cleat system. It is well known that porosity is described as an important parameter of reservoir characteristics. So it is very important to predict the porosity correctly in the reservoir evaluation of coal mines. However, coal porosity can be obtained by inversion using seismic and logging data, which will be a very effective approach in coal mines reservoir evaluation. Linear equations are established from density and acoustic logging with the volumetric model of rock. Then each volume of the rock compositions is calculated which can be converted to porosity curve. Finally, Impedance and porosity data are inversed from seismic and logging data of the first mining area in Xinyi coal mine, which identifies the distribution of coal porosity, providing basic information for the reservoir evaluation of this mine.
seismics logging inversion coal reservoir porosity
J. Qian R. F. Cui T. J. Chen
School of Resources and Geosciences, China University of Mining & Technology, Xuzhou, 221116, Jiangsu,China
国际会议
徐州
英文
131-136
2009-09-24（万方平台首次上网日期，不代表论文的发表时间）