Abu Qir Petroleum Company (AQP) is one of the most important gas operators In Egypt. AQP Holds 100% of the exploration, development and production rights of the Abu Qir concession in the Nile Delta offshore. The offshore facilities include six platforms, 34 wells and a network of sea pipelines. Abu Qir Petroleum Company currently is interested in modeling their entire production system from the perforations to the onshore Facility to understand and identify all constraints in the system and the way to improve it. In addition, AQP is interested in identifying any bottlenecks either currently or in the future after adding any platforms or wells according to their intended FDP and to test some operational scenarios like changing terminal pressure, separator pressure, installing compression station, etc.

The main objective of this project is to identify any current and future bottlenecks in the production system while honoring operational constraints on wells, production separators, pipelines, and total field gas/liquid processing capacity and identifying any flow assurance issues taking into consideration different field development scenarios for an offshore gas condensate field in the Mediterranean (Abu Qir Field). In many mature gas fields, reservoir pressure decline as a result of gas depletion tends to lead to the onset of liquid loading. Liquid loading in gas wells occur when the gas flow rate falls below a critical rate due to reservoir depletion where the accompanying liquids cannot be lifted to surface. Such liquid accumulations at the wellbore can cause the gas well to cease production eventually. Transient simulation was used to build transient well models that replicate observed field data, and these models are then used to evaluate specific gas well deliquification techniques.

This document summarizes the methodology and the results of the complementary work carried out to conduct the project. The document presents the methodology to review, evaluate and optimize the offshore production system from reservoir sand-face up to wellhead starting from data gathering and QC up to estimating the missing reservoir parameters needed for well history matching ending with history matched well models and surface network ready for any optimization if the conditions change.

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