Optimal corrosion prevention in crude oil refineries with surrogate modeling

Download

12625853.pdf

Date

2020-9

Author

Yandık, Yücelen Bahadır

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

299
views

359
downloads

Energy demand in the world is increasing day by day, which makes energy markets extremely competitive. Crude oil refineries have to adapt to this competition like other players in the energy field. Corrosion is a common problem in crude oil refineries. Production may need to be stopped for maintenance to fix problems caused by corrosion. These stops cause businesses to miss their production target and lose their competitive advantage. Today, it is known that the salts in crude oil play an important role in corrosion. Even though there are several methods to remove salts in the crude oil, these methods are not perfect. For this reason, chemicals such as neutralizers, corrosion inhibitors, and caustic soda are used to reduce the corrosive effect of salts. However, using these chemicals in the inappropriate amounts can increase the corrosion or create a coke in the tanks that affects the production and needs to be cleaned. Therefore, the amount of chemicals to inject should be determined carefully. If this is performed manually by field operation staff based on heuristic approaches, it may lead to failures. Carrying out the decision-making process with a data-driven analytical method may provide more successful results and enable optimizations. Yet, developing analytical methods is seen as a costly and challenging way due to the complex nature of crude oil refineries. Using surrogate models instead of theoretical models can reduce costs and make the development process more manageable. To this end, we propose a method that optimizes the amount of chemicals added to prevent corrosion in crude oil refineries using an analytical method that relies on surrogate models. In order to evaluate the applicability and performance of the proposed method, an application was carried out in a refinery, and positive results were observed in the short term.

Subject Keywords

Corrosion, Crude oil distillation, Optimization, Machine learning, Surrogate modeling

URI

https://hdl.handle.net/11511/69266

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

Application of suitability index to Turkish coasts for wave energy site selection Bozgeyik, Mehmet Erkam; Özyurt Tarakcıoğlu, Gülizar; Department of Civil Engineering (2019) Recently, renewable energy resources are getting more important day by day since energy demand of the world is continuously increasing. One of the promised renewable energy sources is wave energy as the water covers more than 70% of the world. Moreover, Turkey is an esteemed country with the high potential to exploit from wave energy as it is surrounded with seas and also Turkey has been searching for proper solutions in order to satisfy energy demands from past to now. In this regard, there are many studie...
Feasibility of pumped-storage hydraulic systems based on hourly variation of electricity prices Barbaros, Efe; Aydın, İsmail; Department of Civil Engineering (2019) Global energy demand increases every day due to growing needs. The ideal of eco-friendly, sustainable and low cost energy generation relying on countries’ own domestic sources increases the interest in renewable energy in the 21st century. However, the intermittent nature of the renewable energy brings the importance of and the need for energy storage to surface. Pumped storage hydroelectricity (PSH) has been in use worldwide for a long time with this purpose thanks to its large scale storage capacity and p...
Computational fluid dynamic analysis of wind loads acting on ground mounted solar panels / Uslu, Veysel Emre; Sarıtaş, Afşin; Uzol, Oğuz; Department of Civil Engineering (2014) Solar energy becomes more important day by day as a result of being part of renewable energy and increasing energy consumption. Although development of photovoltaic panels is enjoying the attention of many researchers, there has not been enough study towards determination of the loads acting on supporting structures of these systems yet. In this thesis, CFD analysis is mainly employed in order to model, analyze and understand the effects of the wind forces acting on solar panels. Also, different from previo...
Comparative Power-Delay Performance Analysis of Threshold Logic Technologies Ercan, Furkan; Muhtaroglu, Ali (2015-03-26) Recent focus in energy efficiency is motivated with diminishing conventional energy resources, and increasing demand in low power applications with shrinking platform sizes. In this work, various threshold logic technologies are compared with each other in terms of power-delay-product (PDP). Compound CMOS, complementary pass transistor, static NAND gate, full adder, capacitive and differential threshold logic technologies are compared within a developed comparison scenario. Results in UMC180nm technology in...
MODELING OF BIPOLAR PLATES FOR PROTON EXCHANGE MEMBRANE FUEL CELLS Ekiz, Ahmet; Camci, Talha; Turkmen, Ibrahim; SANKIR, MEHMET; USLU, SITKI; Baker, Derek Keıth; Agar, Ertan (2011-09-01) Fuel cell technology is one of the most economic and efficient ways to utilize hydrogen energy. Various types of fuel cells are present regarding the fuel type and amount of power produced. Among these, proton exchange membrane fuel cells (PEMFCs) are very promising. In this work, a 2D proton exchange membrane fuel cell unit cell was modeled using Comsol Multiphysics software. Cell section was taken parallel to flow direction. Obstacles with various geometries were placed in the flow channel in order to for...

Citation Formats

Y. B. Yandık, “Optimal corrosion prevention in crude oil refineries with surrogate modeling,” M.S. - Master of Science, Middle East Technical University, 2020.