An important method in oil and gas exploration is vertical seismic profile (VSP) to estimate rock properties in drilling well. Quality factor is also the crucial point of seismic attenuate in VSP data. In the present study, this factor was used to evaluate the hydrocarbon potential of Kangan Formation in one of the Persian Gulf oil fields using VSP zero offset method. Quality factor was estimat...

there are two methods for identifying formation interface in oil wells: core analysis, which is a precise approach but costly and time consuming, and well logs analysis, which petrophysists perform, which is subjective and not completely reliable. in this paper, a novel coupled method was proposed to detect the formation interfaces using gr logs. second approximation level (a2) of gr log gained...

Abstract The identification of lithology, fluid types, and total organic carbon content are great priority in the exploration unconventional hydrocarbons. As a new alternative, further developed K-means type clustering method is suggested for evaluation shale gas formations. traditional approach cluster analysis mainly based on use Euclidean distance grouping objects multivariate observations i...

Abstract Carbonate reservoirs in Iran are the most important and main sources of oil gas production. Hydrocarbon flow rates from carbonate heavily rely on development natural fractures. This study focuses role fractures reservoir quality considering Sarvak (southwest Iran) as second Iran. To identify small-scale around borehole walls, cores description image logs were utilized. Due to high cost...

The idea to use automated algorithms to determine geological facies from well logs is not new (see e.g Busch et al. (1987); Rabaute (1998)) but the recent and dramatic increase in research in the field of machine learning makes it a good time to revisit the topic. Following an exercise proposed by Dubois et al. (2007) and Hall (2016) we employ a modern type of deep convolutional network, called...