ONSHORE HYDROCARBON PRODUCTION

A TECHNICAL REVIEW OF FLOW ASSURANCE CHALLENGES AND MITIGATION STRATEGIES IN ONSHORE HYDROCARBON PRODUCTION

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Abstract
Flow assurance has become one of the most pressing challenges in onshore oil and gas production. It refers to the ability to transport hydrocarbons from the reservoir through pipelines and surface facilities to the point of sale without blockages or interruptions. While the concept first gained traction in offshore systems, onshore operations face their own unique and complex issues. These challenges are linked to aging infrastructure, climatic variations, and the exploitation of marginal and mature fields, which often present high water cuts and unstable emulsions. This study provides a systematic review of the major flow assurance problems in onshore environments, focusing on wax deposition, hydrate formation, asphaltene precipitation, mineral scale, emulsions, and corrosion. Each mechanism was examined in terms of its underlying chemistry and physics, its operational impact, and the mitigation strategies commonly applied. Traditional solutions such as thermal treatments, chemical inhibitors, pigging, and water management remain central, but they are often costly, environmentally intensive, and sometimes unreliable under harsh conditions. The review also highlights the increasing use of innovative technologies, including nanomaterial-based inhibitors, environmentally friendly chemical alternatives, advanced coatings, and digital monitoring supported by artificial intelligence and machine learning. These emerging approaches show promise in reducing chemical volumes, lowering costs, and improving predictive control, although many remain at laboratory or pilot scale. The findings demonstrate that no single strategy is universally effective. Instead, integrated approaches tailored to field-specific conditions provide the best outcomes. For instance, thermal and pigging strategies remain practical in wax-prone pipelines, while low-dosage hydrate inhibitors and AI-based prediction models are more suited for hydrate management in colder climates.
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