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Abstract Numerous studies on Formation damage have been conducted, but fewer investigations have been conducted for the ideal diagnosis workflow. More knowledge of geology, reservoir characteristics, and production data is required to identify the source, causes, and best treatment technique for each well's formation damage. In this paper, a workflow for the diagnosis of formation damage is introduced in order to determine the location, potential source, root causes, and recommend a suitable treatment method for the formation damage. The proposed workflow is based on critical steps such as (1) planning and organizing the delivered data for solving the investigated problem, (2) collecting and analyzing all available data, and (3) integrating all geological, reservoir, and production data. Furthermore, the proposed workflow was applied to the Hammam Faraun reservoir in an Egyptian oil field. An integration of available geological, reservoir, and production data was performed in this reservoir 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. As a result, all aspects of the well and its history were considered when assessing formation damage in the studied well, 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, and perforation reports. The assessment of the formation damage problem revealed that the suggested workflow was effective and can aid in the detection of formation damage problems throughout the oil and gas wells. The integration of geological, reservoir, and production data resulted in an accurate analysis; two sources of damage could be responsible for the damage in the studied well based on the analysis and integration of geological and engineering data. Firstly, low quality water, secondly the using of an inappropriate stimulation fluid which interact with the existed sensitive formation minerals. Treatment with proper additives is highly recommended in such cases. This work show how can an integrated dataset can be used in the assessment of reservoir damage analysis studies in the studied basin and elsewhere.
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