Risk-Based Inspection (RBI) involves the use of engineering calculation tools such as finite element structural analysis, corrosion and fatigue analysis, risk analysis and structural reliability in an integrated framework, in order to develop inspection plans in a rational and optimized manner. RBI attempts to map the structure degradation curve, in deterministic or probabilistic way. Once defined the degradation curve for the different areas of the structure, risk analysis techniques are applied to determine inspection intervals concerning each element of the structure. As final result, it is possible to obtain an optimized inspection plan applied to the structural reality of the unit. The objective of this dissertation is to propose a prediction method, based on RBI, to improve the decision-making process focusing on maintenance of offshore service barges of a large oil and gas company in Brazil. It presents a case study concerning an application of this prediction method in one of the offshore service barges of this company – Offshore Service Barge 3 (BS-3). The results show that the adoption of preventive inspections can enlarge the TLV (Time Limit of Life) of this type of unit. As a consequence, the potential benefits are: reduction of uncertainties; identification of faults due to structural deterioration; maintenance costs reduction; and, decreasing of time breakdowns concerning barge services.