Computational analysis for wax detection in deepwater pipelines using nuclear techniques

Wax deposition along the extensive oilfield pipelines is a problem that affects flow assurance. To solve it, one must monitor wax formation in its initial stage. In this light, nuclear techniques are an effective alternative solution, as they can detect characteristics of materials or substances indirect and non-invasive manner. The present work shows computational model using MCNP6 (Monte Carlo N-Particle 6) code gamma radiation transmission profiling technique to different thickness. This fact directly related attenuation beam when crossing thicknesses.