A technique is proposed that calculates derivative and volatility attributes from just a few well log curves to assist in brittleness index predictions sparse well-log datasets with machine learning methods. Six are calculated for selected recorded logs: the first derivative, moving average of second logarithm instantaneous volatility, standard deviation volatility. These make it possible extra...

Permeability is a vital parameter in reservoir engineering that affects production directly. Since this parameter's significance obvious, finding way for accurate determination of permeability essential as well. In paper, the two notable carbonate reservoirs (Ilam and Sarvak) southwest Iran was predicted by several different methods, level accuracy all models compared. For purpose, Multi-Layer ...

aim : the aim of this study was to determine whether there is relation between body mass index and symptoms of gastro-esophageal reflux disease in our community using logit, probit and complementary log-log models. background : the most frequent statistical tool to address the relationship among a dichotomous response and other covariates is logistic regression. however logistic regression is f...

Well log data are a common source of information for characterizing subsurface environments. A statistical methodology is developed and applied for the interpretation of such data in terms of a multi-state depositional sequence. The well log data is classified into a discrete set of states (e.g., sand, silt, clay) and stratigraphic transitions between these states are described as a continuous ...

Gas and oil reservoirs have been the focus of modeling efforts for decades as an attempt to locate zones with high volumes. Certain subsurface layers and layer sequences, such as those containing shale, are known to be impermeable to gas and/or liquid. Oil and natural gas then become trapped by these layers, making it possible to drill wells to reach the supply, and extract for use. The drillin...