Publications

Good quality of well log data is essential for a successful quantitative seismic reservoir characterization. Well log data provides the key to calibrate the seismic response to the reservoir properties. Unfortunately, sometimes the well log data are poor quality, inconsistent within surrounding wells, and/or missing some data. Therefore, well log conditioning and rock physics modeling need to be applied prior to integration with seismic. A well data conditioning and rock physicsworkflow were designed for this study to deliver good results. Compared to the non-conditioned data, the conditioned has demonstrated some significant improvements: it is more consistent with surrounding wells, it is consistent with both basic physical principles and the petrophysical model, the synthetic well is better tie to the seismic (1D and 2D term), the elastic properties shows better correlation and consistency with calculated petrophysical properties. This paper illustrates why well log conditioning and rock physics modeling is so important and to show how carefully constructed synthetic seismic model can help the geoscientist interpret seismic for reservoir characterization. This work involved close collaboration between petrophysicist and geophysicist.