Development of formation damage diagnosis workflow, application on Hammam Faraun reservoir: A case study, Gulf of Suez, Egypt

Abstract

Numerous studies carried out on Formation damage, but fewer investigations were conducted for the ideal diagnosis workflow. More understanding of geology, reservoir characteristics, and production data is essential to define the source, causes, and suitable treatment technique of formation damage for each well.In this paper, a workflow for the formation damage diagnosis is introduced to find location, potential source even natural or induced damage, root causes and recommend a suitable treatment method of the formation damage. The suggested workflow depends on vital steps including (1) planning and organizing the delivered data for solving the investigated problem, (2) collecting and analyzing all available data, (3) integration of the all geological, reservoir and production data, in addition the suggested workflow was applied on Hammam Faraun reservoir in El-Morgan oil field. In this reservoir, an integration of the available geological, reservoir, and production data was performed to make confident prognosis or diagnoses of formation damage and achieve a complete vision of the sources of formation damage and suggest solutions and treatments.Therefore, in assessing formation damage in the studied well, all aspects of the well and its history were integrated in this study, including: core analysis, XRD, mineralogy, water chemistry, reservoir geology, offset well production, reservoir fluids, production history, drilling fluids, cementing program, completion, stimulation and workover history, perforation reports.The diagnosis of the formation damage problem revealed that the suggested workflow was effective and can help diagnose formation damage problems in the entire oil and gas wells. The integration of geological, reservoir, production data led to accurate analysis, two sources of damage could be responsible for the damage in the studied well based on the geological and engineering data analysis and integration. Firstly, low quality water, secondly the using of an inappropriate stimulation fluid and sensitive formation minerals to fluids, and finally treatment with proper additives is highly recommended.