Quick Test

89th Free Webinar - Well Optimization Workflow using OFM

By Mohamed Dallag

Webinar has been ended

Webinar Speaker(s)

Mohammed Dallag is a Senior Global Domain Expert with SENSiA. He has been working as a Reservoir and Production Engineer from February 1997 to now with Sclumberger. With more than 27 years of experience in upstream oil and gas projects, Dallag is the OFM software champion in SENSiA. Dallag has contributed to SENSiA and Schlumberger Solutions projects worldwide and has led the development and deployment of technologies for quickly and cost-effectively analyzing reservoirs using SIS software and other software. Dallag is a certified NExT instructor and expert in Reservoir Engineering consultancy projects. He applied waterflood, Water encroachments, Workover candidate and Infill drilling workflows studies. He has also implemented reservoir surveillance systems in real-time environments in Saudi Aramco, Kuwait Oil Company. During studies and implementations of reservoir surveillance systems (OFM) he also gained experience with Avocet and Petrel. Dallag bublished a lot of SPE papers and was awarded the best SPE Paper (third place) from the Saudi Aramco Journal of Technology in summer 2008.

 

Webinar Agenda

Well Optimization Workflow (WOW)
WOW will help the Reservoir Management team in identify, sort and analysis the candidate well for workover and optimize the workover plan based on the maximum production that can be archived with the minimum cost.

A candidate recognition system can be developed to identify and flag problem wells that require immediate remediation. The system consists of various analysis tools that allow anticipating the onset of problems by leveraging existing knowledge from nearby wells. Plots can show the production performance of wells by tracking the oil and gas production rates. These rates are then extended to forecast their future production using decline curve analysis. This allows early detection of mechanical and other problems such as water encroachments, low productivity or skin damage.