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The Wafra Joint Operation (WJO) Oilfield is located in the central-west part of the Kuwait-Saudi Arabia Neutral Zone. The Wafra oilfield reserves were first discovered and wells drilled in 1953 and production in commercial quantities began in 1954. This field produces two types of crude oil, Ratawi (light oil) and Eocene (heavy oil), with average water cut of 80-85%. During operation, the production wells produce the oil emulsion through mostly coated flowlines to sub-centres (SC) where the sour oil, water and gas are separated. The facility has two gathering fields: Eocene and Ratawi. Eocene has 2 phase separation, whilst Ratawi has 3 phase separation.
The abrupt shutdown of the Wafra Joint Operations (WJO) production facilities led to a deviation from normal shutdown standard operating procedures such as draining and purging of the corrosive production fluids. Consequently, the ensuing deterioration, as a result of corrosion and other associated damage mechanisms, is bound to increase the integrity threats to JO equipment and therefore, negatively impact the restart of operation. The main anticipated damage mechanisms such as microbiologically influenced corrosion (MIC) and under deposit corrosion (UDC) are likely to manifest in the form of pinhole leaks, leading to increased incidence of loss of containment and subsequent negative Environmental, Health and Safety (EHS) consequences. This paper explores different mitigations that were utilized in maintaining the integrity of the JO equipment, including chemical preservation, the use of risk based assessment for the optimization of the chemical preservation methodology and subsequently, the use of enhanced preservation as a long-term preservation approach.
The Wafra Joint Operation (WJO) Oilfield is located in the central-west part of the Kuwait-Saudi Arabia Neutral Zone. The Wafra oilfield reserves were first discovered and wells drilled in 1954. This field produces two types of crude oil, Ratawi (light oil) and Eocene (heavy oil), with average water cut of 8085%. During operation, the production wells produce the oil emulsion through mostly coated flowlines to sub-centres (SC) where the sour oil, water and gas are separated. The facility has two gathering fields; Eocene and Ratawi. Eocene has 2 phase separation, whilst Ratawi has 3 phase separation. The sour gas is either flared or flows to the Main Power Generation Plant, whilst the oil is processed to the Main Gathering Center (MGC). The produced waters (PW) are routed to the Pressure Maintenance Plant (PMP).
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In most engineering and scientific applications, machine learning (ML) or artificial intelligence (AI) methods in general, are primarily oriented to design a statistical/heuristic procedure to predict the outcome of a system under new conditions. This mechanism aims at exploring non-evident correlations between inputs and outputs that are embedded in the data. However, a large body of this effort relies on black-box function approximations (e.g., neural networks) that have shown limitations to elucidate additional insights from the underlying physical process that generated the data. Thus, this type of knowledge is generated in a data-driven manner without fully explaining the physics governing the problem.
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