Affiliation:
1. University of Port Harcourt
2. Universiti Teknologi Petronas
Abstract
Abstract
The challenge of data availability for accurately assessing a location's level of corrosivity has lingered for so long and as such, researchers are constantly seeking factors with great influence that can assist in describing how corrosive a location will be toward buried oil and gas infrastructure. Alternative measures are required for making rapid and realistic investment decisions because accumulating these factors to make perfect sense is sometimes time-consuming and expensive. Using MATLAB mathematical computational analysis, this study capitalizes on this gap to build a 3D corrosivity signature and model for Delta state, Nigeria to aid in rapid and realistic investment decision-making. The soil pH and resistivity were identified as key variables that determine the extent of corrosion in this investigation. Vertical Electrical Soundings were utilized to collect soil resistivity data, which was then combined with the soil pH to create a 3D corrosivity signature and model with a 98% R-square factor. During the study, potential limitations were found, and recommendations were made.
Publisher
Research Square Platform LLC
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