Abstract

Geo-Hazard assessment is a critical part of threat identification, risk assessment, fitness for services assessment, and overall subsea asset integrity management. Successfully addressing the data management challenges will yield huge benefit to future achievement in quantitatively evaluating and managing geotechnical hazards. In addition, further data visualization and integration analysis is playing an increasingly important role in decision making of pipeline integrity management in today's subsea industry.

This paper proposes a GIS-based data integration approach to managing, analyzing, and visualizing the geo-hazard data, which will help facilitate the early asset integrity management planning.

A case study was presented.

Introduction

For subsea systems, Integrity Management (IM) should provide a solution throughout the whole life cycle of the key associated assets. From project execution perspective, this means the solution should be implemented throughout multi-phase stages which typically involve Pre-FEED, FEED, Design, Construction, Commissioning, Operations, and Decommissioning. This life-cycle driven concept adds a new perspective to the traditional operation-stage focused IM services. Following this philosophy, an effective Integrity Management Plan (IMP) needs to capture multi-phase project data and incorporate the subsequent risk and integrity assessment analysis throughout the life cycle of subsea assets. As a result, the life-cycle based IM approach, particularly through early stage implementation, can help verify key design and response uncertainties early in field life and demonstrate continued fitness for purpose throughout the life of field. However, despite major benefits, this new approach also poses some key challenges summarized as follow:

1) Data Management:

Life-cycle based IMP needs to include a compressive data management system component to effectively manage vast quantity and range of data acquired at multiple phases throughout project execution. Typical information that needs managing and analyzing includes:

  • Historical process and production data, such as pressure, temperature, flow rate, pH, composition, etc.;

  • Erosion and corrosion probe data, corrosion management strategies, etc.;

  • Chemical injection data;

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