Top of the Line Corrosion (TLC) is a major issue in the oil and gas industry. Extensive research in both the laboratory and field has been conducted to understand its mechanism and to develop methods to mitigate TLC in pipelines. TLC models have been developed to predict the degree of corrosiveness in pipelines; however, the models are mostly based on laboratory results. Therefore, it is necessary to validate the models with the real field data to fill the gap in the understanding of the TLC mechanism.
In this thesis, a methodology for comparing TLC model prediction with real field data has been proposed. The methodology involves the analysis of complex field operating conditions and in-line inspection (ILI) data.
The performance of the developed methodology using selected TLC model shows good agreement between the model predictions and the data provided from the field. Nevertheless, there are still some discrepancies particularly at the beginning of the pipelines.
","abstract_html":"<p>Top of the Line Corrosion (TLC) is a major issue in the oil and gas industry. Extensive research in both the laboratory and field has been conducted to understand its mechanism and to develop methods to mitigate TLC in pipelines. TLC models have been developed to predict the degree of corrosiveness in pipelines; however, the models are mostly based on laboratory results. Therefore, it is necessary to validate the models with the real field data to fill the gap in the understanding of the TLC mechanism.</p><p>In this thesis, a methodology for comparing TLC model prediction with real field data has been proposed. The methodology involves the analysis of complex field operating conditions and in-line inspection (ILI) data. </p><p>The performance of the developed methodology using selected TLC model shows good agreement between the model predictions and the data provided from the field. Nevertheless, there are still some discrepancies particularly at the beginning of the pipelines.</p>","abstract_has_math":false,"creators":["Kaewpradap, Ussama"],"institution":"Ohio University","degree_name":"Master of Science (MS)","degree_level":"masters","degree_discipline":"Chemical Engineering (Engineering and Technology)","degree_department":null,"school":null,"contributors":["Nesic, Srdjan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012","date_published":"2012","updated_at":"2026-07-24T03:35:52Z","subjects":["Chemical Engineering","Top of the line corrosion","Field data analysis","In-line inspection data"],"languages":["English"],"rights":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353072616","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Nesic, Srdjan"]},{"key":"dc:creator","label":"Author","values":["Kaewpradap, Ussama"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2012"]},{"key":"dc:publisher","label":"Institution","values":["Ohio University / OhioLINK"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Chemical Engineering (Engineering and Technology)"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Ohio University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Chemical Engineering","Top of the line corrosion","Field data analysis","In-line inspection data"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353072616"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Top of the Line Corrosion (TLC) is a major issue in the oil and gas industry. Extensive research in both the laboratory and field has been conducted to understand its mechanism and to develop methods to mitigate TLC in pipelines. TLC models have been developed to predict the degree of corrosiveness in pipelines; however, the models are mostly based on laboratory results. Therefore, it is necessary to validate the models with the real field data to fill the gap in the understanding of the TLC mechanism.
In this thesis, a methodology for comparing TLC model prediction with real field data has been proposed. The methodology involves the analysis of complex field operating conditions and in-line inspection (ILI) data.
The performance of the developed methodology using selected TLC model shows good agreement between the model predictions and the data provided from the field. Nevertheless, there are still some discrepancies particularly at the beginning of the pipelines.
"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf","p.100","6.27 MB"]},{"key":"dc:title","label":"Title","values":["Validation of Top of the Line Corrosion Prediction Model Using Laboratory and Field Measurements"]}]}],"canonical_facts":{"dc:contributor":["Nesic, Srdjan"],"dc:creator":["Kaewpradap, Ussama"],"dc:date":["2012"],"dc:description":["Top of the Line Corrosion (TLC) is a major issue in the oil and gas industry. Extensive research in both the laboratory and field has been conducted to understand its mechanism and to develop methods to mitigate TLC in pipelines. TLC models have been developed to predict the degree of corrosiveness in pipelines; however, the models are mostly based on laboratory results. Therefore, it is necessary to validate the models with the real field data to fill the gap in the understanding of the TLC mechanism.
In this thesis, a methodology for comparing TLC model prediction with real field data has been proposed. The methodology involves the analysis of complex field operating conditions and in-line inspection (ILI) data.
The performance of the developed methodology using selected TLC model shows good agreement between the model predictions and the data provided from the field. Nevertheless, there are still some discrepancies particularly at the beginning of the pipelines.
"],"dc:format":["application/pdf","p.100","6.27 MB"],"dc:identifier":["http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353072616"],"dc:language":["English"],"dc:publisher":["Ohio University / OhioLINK"],"dc:rights":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."],"dc:subject":["Chemical Engineering","Top of the line corrosion","Field data analysis","In-line inspection data"],"dc:title":["Validation of Top of the Line Corrosion Prediction Model Using Laboratory and Field Measurements"],"dc:type":["Electronic Thesis or Dissertation"],"thesis:degree_discipline":["Chemical Engineering (Engineering and Technology)"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science (MS)"],"thesis:institution_name":["Ohio University"]},"updated_at":"2026-07-24T03:35:52Z"}