No abstract

The state of Kuwait is developing its unconventional heavy oil fields. Currently, the Kuwait Oil Company KOC which is the national oil company of Kuwait is implementing a pilot project which utilizes the cyclic steam stimulation CSS Technology in accordance with different artificial lift methods to test the feasibility of applying the CSS technology in different areas of these fields. Moreover, it tests the effect of multiple steam cycles on wells and evaluates the performance of the wells with the selected artificial lift methods. During the pilot stage, numerous numbers of data is being received daily from the well site. Integrating and analyzing these data manually requires huge efforts. Thus, a Steam Injection Tracking System is created to serve both management and operation sides by integrating all the well data including operational and financial parameters. The system will represent all these parameters graphically which helps the engineers to better understand the performance and economics of this pilot. This will be impacted for the best prediction of this pilot project and the unconventional fields' developments. The results of implementing this system exceeded all expectations. It provided an excellent understanding and management for the pilot. On the management side, the main page of the software shows and summarizes automatically the historical and current status of each well in the pilot with its economics. Also, it helped in selecting the proper zone to utilize the CSS technology by showing the zones which responded profitably to that technology. On the other side which is related to the operational, it helped in selecting the proper well completion with its proper artificial lift method by presenting the historical production, expenditures, and profits. Moreover, it visualized all the essential daily well parameters such as steam quality, flow rate, and pressure readings associated with the occurrence of operational problems such as shutdowns and leaks. Finally, it allowed the engineers to style a customized sensitivity studies by graphing any parameter with respect to others.