Abstract

For the purpose of oil and gas exploration, research on the modelling of rock mechanics parameters is extremely important. In reservoir prediction and other oilfield applications, the use of logging data with the Kriging interpolation to analyse rock mechanics parameters has been shown to be useful and can give additional data. However, due to the small sample size and significant layer variability, there may occasionally be a significant variation. In order to address this issue, a novel method for calibrating rock mechanical models using statistical analysis of logging data was developed. In the Wangyao region of the Ansai oilfield, a module was created to automatically calibrate rock mechanics parameters. This technique greatly increased the rock mechanics modeling's accuracy [1-3].