Well productivity prediction for thinly laminated reservoir using integrated high-resolution logs.

Abstract

Due to increasing costs in hydrocarbon exploration, formation evaluation needs to be efficient in order to avoid excessive expenditures. Proper reservoir characterization in thinly laminated reservoirs is a key to successful field development. These thinly laminated reservoirs are complex due to their vertical heterogeneity. As a result, there is low resistivity contrast between water and hydrocarbon bearing zones when standard resistivity logs are used. Thus, it is crucial to deploy a high resolution formation evaluation in order to capture reservoir pay and detect hydrocarbon zones. This study aims to demonstrate a methodology of using borehole electrical image log to determine effective permeability. The study is the first attempt to develop a numerical technique to build a correlation between synthetic resistivity derived from borehole electrical image tool with other dynamic permeability measurements such as dual packer formation tester. A single well predictive model was used in the process to generate high resolution numerical radial model from high resolution log data. This improving workflow is applied to electrical images to predict effective permeability in other intervals where actual permeability measurements were not acquired. However, this methodology has not been tested with the actual field data. Therefore, this study aims to investigate this workflow when applied to actual field data.