The College of Science, in cooperation with the Basrah Oil Company, the Rumaila Operating Authority, organized a series of lectures on how to build seismic models, which were given by a group of employees of the company, where the employee, Hussein Muhammad Ali, lectured in the second lecture.

The workshop aims to develop and build a predictive model based on gas data during drilling to characterize the formation liquid. A case study of the Zubair formation, the Zubair oil field, southern Iraq.

The aim of this study was to use mud gas information collected during drilling to obtain information about reservoir fluid properties in near real time. To achieve this goal, mud gas data collected during drilling were compared to studies of reservoir fluid components. After analyzing the results and assessing the associated uncertainty, a model was created to predict, during drilling, the approximate composition of the reservoir fluid quality. The developed model has some limitations. However, the model is able to predict in a robust way the molar concentration of methane, ethane, propane, n-butane and n-pentane. For molecules present at low concentrations of iso-butane and iso-pentane, the proposed model has less predictive power.