Enhanced Oil Recovery (EOR) is a well-known method to increase oil production from oil reservoirs. Applying EOR to a new reservoir is a costly and time consuming process. Incorporating available knowledge of oil reservoirs in the EOR process eliminates these costs and saves operational time and work. This work presents a universal method to apply EOR to reservoirs based on the available data by...

Fuzzy C-mean (FCM) is the most well-known and widely-used fuzzy clustering algorithm. However, one of the weaknesses of the FCM is the way it assigns membership degrees to data which is based on the distance to the cluster centers. Unfortunately, the membership degrees are determined without considering the shape and density of the clusters. In this paper, we propose an algorithm which takes th...

the aim of this study is to analyze the impact of industrial structure of clusters on entrepreneurship in business clusters (case study: valuable metals and precious stones of isfahan's clusters). the relevant population is isfahan clusters of valuable metals and precious stones. number of population is over than 300enterprises. according to the formula of sampling structural equation mode...

in this study, the structures, the ir spectroscopy, and the electronic properties of auncum (n+m≤5) bimetallic clusters were studied and compared with those of pure gold and copper clusters using the generalized gradient approximation (gga) and exchange correlation density functional theory (dft). the study of an o2-auncum system is important to identify the promotion effects of each of the two...

Separating an image into meaningful underlying components is a crucial first step for both editing and understanding images. We present method capable of selecting the regions photograph exhibiting same material as artist-chosen area. Our proposed approach robust to shading, specular highlights, cast shadows, enabling selection in real As we do not rely on semantic segmentation (different woods...