Publications

The conventional geological application of wireline logs is more likely to be qualitative. The increasing manner of challenges in oil and gas exploration has shifted the conventional process to unravel complex problems. Quantitative interpretation is now more commonly added to the perspective of seismic and wireline data application, as a way to enhance the qualitative approach. The pre-drill study suggested that the reservoir interval enclosed in thick sandstone formations, the post-drill however result showed the thin carbonate interval was the only formation that showed gas. This research is aimed at tackling this challenge by improving thin-bed carbonate reservoir characterization. We approach the quantitative interpretation to be able to enhance the stratigraphic interpretation of well logs and advance the conventional multi-attribute seismic analysis to improve seismic resolution. This thin-bed carbonate reservoir distribution is approached by combining these two steps. The spectral trend attribute analysis, commonly known as integrated prediction error filter analysis (INPEFA), is performed to quantitatively correlate wells using gamma ray log. In a way to enhance the seismic resolution, the iterative Wiener filter (IWF) is introduced to enhance the multi-attribute seismic analysis. The use of INPEFA conclusively revitalize the stratigraphic correlation process, this method is favorable especially when dealing with chaotic (high frequency) gamma ray log that would exacerbate qualitative interpretation. The resolution of seismic data is improved with the use of IWF as additional attribute in multi-attribute seismic analysis as the result shows an increased correlation value by 38 percent and a decreased in error value by 14 percent. An intensive analysis of INPEFA result must be carried out especially when the reservoir is non-clastic, as it helps to predict the possibility of facies distribution and the use of IWF on the other hand has successfully improved the seismic resolution.