Improved Paraffin-Deposition-Profile Estimation in Hydrocarbon Pipelines and Effective Mitigation Review
Flow of paraffinic hydrocarbon liquids within extended pipeline networks or wells, where the environment/bulk temperature is below the cloud point or wax-appearance temperature (WAT), could result in precipitation of wax from the bulk fluid. Precipitated wax crystals from crudes deposits on the inner pipe wall could lead to reduced flow area or even complete blockage and could present a costly problem in the production and transportation of petroleum products. Timely removal of such deposits is extremely important to avoid associated problems.
This paper illustrates a numerical approach to estimate the deposition profile and its effect on flow-related parameters. Later, the procedure is validated with field data from a North Sea offshore production facility. This paper also seeks to propose a feasible solution to avoid such flow-assurance issues; in doing so, current commonly practiced reduction and preventive methods are reviewed. Previously, providing thermal insulation with aerogel foam had proved to be the most effective option in preventing wax from precipitating. A relatively new approach is discussed in this paper, which allows for minimizing the usage of insulation material in an attempt to reduce the implementation cost of the proposed precaution. Theoretical implementation of the procedure was also conducted to identify its effectiveness, which was later found to be elimination of the deposition completely.
US Lifts Metal Tariffs on Canada, Mexico
The decision may alleviate some of the pressures oil and gas producers faced in the wake of their imposition last year. Canada and Mexico made up a combined 20% of US imports of oil country tubular goods in 2017.
US Exceeds One-Year Mark as Natural Gas Exporter
An EIA report shows natural gas exports reaching 4.6 Bcf/D in February, the 13th consecutive month in which the country's natural gas exports exceeded its imports. Exports are projected to reach 7.5 Bcf/D by 2020.
Neural Networks Plus CFD Speed Up Simulation of Fluid Flow
High-fidelity 3D engineering simulations are valuable in making decisions, but they can be cost-prohibitive and require significant amounts of time to execute. The integration of deep-learning neural networks with computational fluid dynamics may help accelerate the simulation process.
Don't miss out on the latest technology delivered to your email every two weeks. Sign up for the OGF newsletter. If you are not logged in, you will receive a confirmation email that you will need to click on to confirm you want to receive the newsletter.
15 May 2019
15 May 2019
14 May 2019