Qualitative & Quantitative Digital Frac Platform for Reservoir Stimulation Operations in Oman Fields

The ultimate goal of hydraulic stimulation in terms of business value is "production", especially in those cases where the well is approaching the economic limit, is to increase the hydrocarbon flow, improve the ultimate recovery and make it profitable. During a sing stage fracturing operation, extensive data is produced. Unfortunately, less than 10% of the data are properly preserved. Finally resides in corporate repositories. Comparable is the case of knowledge, where just in few cases, previous lessons learned are taken into consideration when designing a new job. Data Quality and human talent dedication are not the exception; data completeness levels of just 40% has been estimated. While Production Technologist and Frac Engineers during a normal Frac design, dedicate nearly much of their time on searching for data. It was identified the need for having a centralized database, and avoid the dissemination of "local" customized spreadsheets to track the fracturing activities. At the same time, there were no fracturing workflow identified, instead, multiple version depending on each well/cluster approach. Hydraulic Fracturing Project emerged as a corporate initiative to support the HF evolution, and the vision to provide the business the best tools (knowledge, standard process, data, and technical resources) to get the maximum benefit from this broadly adopted technology. The paper discusses the analytical aspects, operational workflow and administrative and quality control for properly managing the Frac data, from pre-Frac (job design) to post-Frac (job performance evaluation), embedding Frac execution, and including workflow. The data base allowed efficient management of hydraulic fracturing operations, better identification of the fracture candidates, and better design of fracturing treatment, Hence, Frac Platform will improve efficiency, performance & delivery well targets that could essentially reduce resources in data management.