Pipe Diameter Optimization and Two-Phase Flow Pressure Drop in Seabed Pipelines: A Genetic Algorithm Approach

Abstract

Industries such as oil, gas, and petrochemicals encounter a multifaceted challenge when it comes to the transportation of diverse substances through pipelines. The process relies heavily on two-phase flow, particularly in the case of seabed pipelines responsible for conveying oil and natural gas. In our study, the intricate dynamics of pressure fluctuations in horizontal seabed pipelines were comprehensively investigated through the use of simulation software. Nevertheless, the software employed had its limitations as it failed to account for economic considerations. To address this limitation, the integration of a genetic algorithm was undertaken, which encompassed constraints related to the initial investment, thereby contributing to the enhancement of cost-effectiveness in pressure drop calculations. Additionally, a novel parameter was introduced into the Baker model, leading to improvements in both technical efficiency and economic viability. It was observed that augmenting the weight of the initial investment constraint resulted in a reduction in the optimal pipeline diameter, following a third-degree curve. Furthermore, the research findings indicated that a 4% increase in water shear led to a 14.76% decrease in frictional pressure drop within vertical pipes and a 3.5% reduction in horizontal pipes. Conversely, as the gas-to-oil ratio was increased, frictional pressure drop surged by 116.87% in vertical pipes and 81.69% in horizontal pipes. This valuable information can be harnessed to optimize pipeline design and operations in the demanding underwater environments commonly encountered in these industries.