Publications

Multi-attributes seismic analysis is a statistical method that uses more than one attribute to predict some physical properties of the earth. In this analysis, we sought a relationship between the logs with seismic data on the location of the well and used that relationship to predict or estimate the volume of property log in the all well sites at the seismic volume. This research was conducted to predict pseudogamma ray and pseudo-porosity (PHIE). The analysis in this multi-attributes process used linear regression method with step-wise regression technique. This method can help identify the reservoir which could be seen from the log data validation, cross plot value, and also results of gamma ray map slicing average, and the porosity average in the interest zone in �RMS� Field. Slicing the target area is taken based on the analysis of window slice by taking the range of value between the distribution of sandstone and shale (marker L1 and P2). Good results were obtained from analysis of multi-attributes to map the distribution of lithology and sandstones porosity. The range value of gamma ray is 0-90 API and range porosity (PHIE) values is 15-30% which can be interpreted as a porous sand. Areas of development potential are located on the North-West �RMS� field to a depth of 1560-1660 ms in time domain.