Gravel Pack Optimization in Frade Field Through Bottomhole Data Analysis

Abstract

Abstract Proper design of sand control completions is critical for maintaining well integrity and achieving productivity objectives. This is particularly important in Frade, a deepwater field situated 120 km offshore Brazil, where wells to be completed with gravel packs have narrow pressure operating windows. This paper demonstrates the optimization process of gravel pack operations in the field through detailed data evaluation. The continuous improvement process involved pre-designing the gravel pack placement, conducting comprehensive post-job data analysis, optimizing models, and redesigning subsequent wells. To enhance and standardize these processes, an industry standard software was utilized, facilitating an integrated workflow encompassing all stages of the operation, including wellbore displacements, step rate tests, and gravel pack treatments. Sand control completions are intricate, and many variables can jeopardize the integrity of a gravel pack, especially in challenging environments like the Frade Field. This paper introduces instances of issues encountered during sand control installations in the field, such as screen plugging, severe losses, fracturing, and complications with the pumping equipment. The automated processing of surface and downhole gauge data allowed for timely and detailed evaluations, maximizing the value of the acquired data. Furthermore, it facilitated the effective implementation of lessons learned and model calibration within the same campaign, ultimately leading to successful gravel pack treatments. This paper presents examples that highlight the significance of collecting and thoroughly analyzing bottomhole data. It demonstrates how data analysis and incorporation of lessons learned can optimize gravel pack operations to maximize the success of future treatments.