unique and proprietary process through which the data in the data set is averaged using the principles of fuzzy set theory and plotted using bar charts in order to reveal hidden patterns in the data during this process nothing is added or removed from the data well quality analysis wqa is a two step process in the first step a target production indicator is selected and the quality of wells in the field is classified based on this target production indicator in this case 180 days cumulative rich gas production dcrgp was used to be the target production indicator then fuzzy set theory is used to define well qualities based on the target production indicator the 180dcrgp in this data set start from a minimum value of 50 mmcf to a maximum of 1 500 mmcf we defined four different well qualities within these ranges as follows poor wells 180dcgp range of 50 280 mmcf average wells 180dcgp range of 150 600 mmcf good wells 180dcgp range of 400 800 mmcf excellent wells 180dcgp range of 700 1 500 mmcf in the qualitative definition of 180dcrgp shown in fig9 several regions of overlap can be observed this is one of the unique features of this visualization technology of the present disclosure for example poor wells and average wells overlap in the 180dcrgp range of 150 mmcf and 280 mmcf average wells and good wells overlap in the 180dcrgp range of 400 mmcf and 500 mmcf while good and excellent wells overlap in the 180dcrgp range of 700 mmcf.