Prediksi laju korosi dan estimasi umur pipa penyalur panas bumi dengan teknik regresi nonlinier
| Main Authors: | Ulul Azmi, author, Add author: Sri Bintang Pamungkas, 1945-, supervisor, Add author: Arian Dhini, supervisor, Add author: Erlinda Muslim, examiner, Add author: Amar Rachman, examiner, Add author: M. Dachyar, examiner, Add author: Dendi Prajadhiana Ishak, examiner |
|---|---|
| Format: | Masters Thesis |
| Terbitan: |
, 2010
|
| Subjects: | |
| Online Access: |
https://lib.ui.ac.id/detail?id=20298806 |
| ctrlnum |
20298806 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><type>Thesis:Masters</type><title>Prediksi laju korosi dan estimasi umur pipa penyalur panas bumi dengan teknik regresi nonlinier</title><creator>Ulul Azmi, author</creator><creator>Add author: Sri Bintang Pamungkas, 1945-, supervisor</creator><creator>Add author: Arian Dhini, supervisor</creator><creator>Add author: Erlinda Muslim, examiner</creator><creator>Add author: Amar Rachman, examiner</creator><creator>Add author: M. Dachyar, examiner</creator><creator>Add author: Dendi Prajadhiana Ishak, examiner</creator><publisher/><date>2010</date><subject>Pipelines--Corrosion</subject><description>[<b>ABSTRAK</b><br>
Pipa penyalur panas bumi mengalami korosi yang disebabkan oleh ion atau
senyawa yang terlarut dalam uap dan kondensat yang menjadi servisnya. Ion atau
senyawa tersebut antara lain adalah karbondioksida, oksigen, amoniak, pH, dan
khlorida. Prediksi pertumbuhan laju korosi pada pipa penyalur panas bumi perlu
dilakukan untuk memberikan reliabilitas dan keamanan yang lebih baik. Untuk
memperoleh prediksinya, dalam tesis ini dilakukan analisa multivariate
menggunakan teknik regresi Nonlinier. Pengurangangan ketebalan pipa diambil
sebagai variabel tak bebas dan konsentrasi ion atau senyawa penyebab korosi
sebagai variabel bebas. Model yang dipakai untuk analisanya adalah &#916;y = &#954;tv
dimana &#916;y adalah kehilangan ketebalan, ?t? waktu paparan, dan &#954;, v berturut-turut
merupkan parameter korosi yang berkontribusi secara linier dan parameter korosi
yang berkontribusi secara ekponensial. Data case study didapatkan dari rekaman
operasi dan maintenance pipa penyalur panas bumi. Hasil analisa menunjukkan
pipa penyalur mengalami pengurangan ketebalan yang signifikan yang disebabkan
oleh khlorida dan pH. Khlorida dan pH merupakan parameter-parameter korosi
yang berkontribusi linier.
<hr>
<b>Abstract</b><br>
Geothermal pipeline undergoes corrosion caused by ions or compounds dissolved
in its service, steam and condensate. Ion or compound dissolved in the steam
meanwhile carbon dioxide, oxygen, ammonia, pH, and chloride. Corrosion rate
analysis is necessary to be conducted to provide corrosion rate prediction for
reliabe and safe operation reference. To obtain the predictions, in this thesis,
multivariate analysis was conducted using nonlinear regression techniques. Loss
of thickness was taken as the dependent variable and the concentration of ions or
compounds cause corrosion was taken as independent variables. The model used
for analysis is &#916;y = &#954;tv where &#916;y is the loss of thickness, "t? time exposure, &#954; and
v are the corrosion proportionanilty and exponent parameters respectively. Case
study was conducted on geothermal plant and the data was obtained from its
operation and maintenance records. Results of analysis show that the pipeline
have a positive impact in thickness loss caused by the chloride and pH. Chloride
and pH are parameters that contribute linearly dan exponentially.;Geothermal pipeline undergoes corrosion caused by ions or compounds dissolved
in its service, steam and condensate. Ion or compound dissolved in the steam
meanwhile carbon dioxide, oxygen, ammonia, pH, and chloride. Corrosion rate
analysis is necessary to be conducted to provide corrosion rate prediction for
reliabe and safe operation reference. To obtain the predictions, in this thesis,
multivariate analysis was conducted using nonlinear regression techniques. Loss
of thickness was taken as the dependent variable and the concentration of ions or
compounds cause corrosion was taken as independent variables. The model used
for analysis is &#916;y = &#954;tv where &#916;y is the loss of thickness, "t? time exposure, &#954; and
v are the corrosion proportionanilty and exponent parameters respectively. Case
study was conducted on geothermal plant and the data was obtained from its
operation and maintenance records. Results of analysis show that the pipeline
have a positive impact in thickness loss caused by the chloride and pH. Chloride
and pH are parameters that contribute linearly dan exponentially.;Geothermal pipeline undergoes corrosion caused by ions or compounds dissolved
in its service, steam and condensate. Ion or compound dissolved in the steam
meanwhile carbon dioxide, oxygen, ammonia, pH, and chloride. Corrosion rate
analysis is necessary to be conducted to provide corrosion rate prediction for
reliabe and safe operation reference. To obtain the predictions, in this thesis,
multivariate analysis was conducted using nonlinear regression techniques. Loss
of thickness was taken as the dependent variable and the concentration of ions or
compounds cause corrosion was taken as independent variables. The model used
for analysis is &#916;y = &#954;tv where &#916;y is the loss of thickness, "t? time exposure, &#954; and
v are the corrosion proportionanilty and exponent parameters respectively. Case
study was conducted on geothermal plant and the data was obtained from its
operation and maintenance records. Results of analysis show that the pipeline
have a positive impact in thickness loss caused by the chloride and pH. Chloride
and pH are parameters that contribute linearly dan exponentially., Geothermal pipeline undergoes corrosion caused by ions or compounds dissolved
in its service, steam and condensate. Ion or compound dissolved in the steam
meanwhile carbon dioxide, oxygen, ammonia, pH, and chloride. Corrosion rate
analysis is necessary to be conducted to provide corrosion rate prediction for
reliabe and safe operation reference. To obtain the predictions, in this thesis,
multivariate analysis was conducted using nonlinear regression techniques. Loss
of thickness was taken as the dependent variable and the concentration of ions or
compounds cause corrosion was taken as independent variables. The model used
for analysis is &#916;y = &#954;tv where &#916;y is the loss of thickness, "t? time exposure, &#954; and
v are the corrosion proportionanilty and exponent parameters respectively. Case
study was conducted on geothermal plant and the data was obtained from its
operation and maintenance records. Results of analysis show that the pipeline
have a positive impact in thickness loss caused by the chloride and pH. Chloride
and pH are parameters that contribute linearly dan exponentially.]</description><identifier>https://lib.ui.ac.id/detail?id=20298806</identifier><recordID>20298806</recordID></dc>
|
| format |
Thesis:Masters Thesis Thesis:Thesis |
| author |
Ulul Azmi, author Add author: Sri Bintang Pamungkas, 1945-, supervisor Add author: Arian Dhini, supervisor Add author: Erlinda Muslim, examiner Add author: Amar Rachman, examiner Add author: M. Dachyar, examiner Add author: Dendi Prajadhiana Ishak, examiner |
| title |
Prediksi laju korosi dan estimasi umur pipa penyalur panas bumi dengan teknik regresi nonlinier |
| publishDate |
2010 |
| topic |
Pipelines--Corrosion |
| url |
https://lib.ui.ac.id/detail?id=20298806 |
| contents |
[<b>ABSTRAK</b><br>
Pipa penyalur panas bumi mengalami korosi yang disebabkan oleh ion atau
senyawa yang terlarut dalam uap dan kondensat yang menjadi servisnya. Ion atau
senyawa tersebut antara lain adalah karbondioksida, oksigen, amoniak, pH, dan
khlorida. Prediksi pertumbuhan laju korosi pada pipa penyalur panas bumi perlu
dilakukan untuk memberikan reliabilitas dan keamanan yang lebih baik. Untuk
memperoleh prediksinya, dalam tesis ini dilakukan analisa multivariate
menggunakan teknik regresi Nonlinier. Pengurangangan ketebalan pipa diambil
sebagai variabel tak bebas dan konsentrasi ion atau senyawa penyebab korosi
sebagai variabel bebas. Model yang dipakai untuk analisanya adalah Δy = κtv
dimana Δy adalah kehilangan ketebalan, ?t? waktu paparan, dan κ, v berturut-turut
merupkan parameter korosi yang berkontribusi secara linier dan parameter korosi
yang berkontribusi secara ekponensial. Data case study didapatkan dari rekaman
operasi dan maintenance pipa penyalur panas bumi. Hasil analisa menunjukkan
pipa penyalur mengalami pengurangan ketebalan yang signifikan yang disebabkan
oleh khlorida dan pH. Khlorida dan pH merupakan parameter-parameter korosi
yang berkontribusi linier.
<hr>
<b>Abstract</b><br>
Geothermal pipeline undergoes corrosion caused by ions or compounds dissolved
in its service, steam and condensate. Ion or compound dissolved in the steam
meanwhile carbon dioxide, oxygen, ammonia, pH, and chloride. Corrosion rate
analysis is necessary to be conducted to provide corrosion rate prediction for
reliabe and safe operation reference. To obtain the predictions, in this thesis,
multivariate analysis was conducted using nonlinear regression techniques. Loss
of thickness was taken as the dependent variable and the concentration of ions or
compounds cause corrosion was taken as independent variables. The model used
for analysis is Δy = κtv where Δy is the loss of thickness, "t? time exposure, κ and
v are the corrosion proportionanilty and exponent parameters respectively. Case
study was conducted on geothermal plant and the data was obtained from its
operation and maintenance records. Results of analysis show that the pipeline
have a positive impact in thickness loss caused by the chloride and pH. Chloride
and pH are parameters that contribute linearly dan exponentially.;Geothermal pipeline undergoes corrosion caused by ions or compounds dissolved
in its service, steam and condensate. Ion or compound dissolved in the steam
meanwhile carbon dioxide, oxygen, ammonia, pH, and chloride. Corrosion rate
analysis is necessary to be conducted to provide corrosion rate prediction for
reliabe and safe operation reference. To obtain the predictions, in this thesis,
multivariate analysis was conducted using nonlinear regression techniques. Loss
of thickness was taken as the dependent variable and the concentration of ions or
compounds cause corrosion was taken as independent variables. The model used
for analysis is Δy = κtv where Δy is the loss of thickness, "t? time exposure, κ and
v are the corrosion proportionanilty and exponent parameters respectively. Case
study was conducted on geothermal plant and the data was obtained from its
operation and maintenance records. Results of analysis show that the pipeline
have a positive impact in thickness loss caused by the chloride and pH. Chloride
and pH are parameters that contribute linearly dan exponentially.;Geothermal pipeline undergoes corrosion caused by ions or compounds dissolved
in its service, steam and condensate. Ion or compound dissolved in the steam
meanwhile carbon dioxide, oxygen, ammonia, pH, and chloride. Corrosion rate
analysis is necessary to be conducted to provide corrosion rate prediction for
reliabe and safe operation reference. To obtain the predictions, in this thesis,
multivariate analysis was conducted using nonlinear regression techniques. Loss
of thickness was taken as the dependent variable and the concentration of ions or
compounds cause corrosion was taken as independent variables. The model used
for analysis is Δy = κtv where Δy is the loss of thickness, "t? time exposure, κ and
v are the corrosion proportionanilty and exponent parameters respectively. Case
study was conducted on geothermal plant and the data was obtained from its
operation and maintenance records. Results of analysis show that the pipeline
have a positive impact in thickness loss caused by the chloride and pH. Chloride
and pH are parameters that contribute linearly dan exponentially., Geothermal pipeline undergoes corrosion caused by ions or compounds dissolved
in its service, steam and condensate. Ion or compound dissolved in the steam
meanwhile carbon dioxide, oxygen, ammonia, pH, and chloride. Corrosion rate
analysis is necessary to be conducted to provide corrosion rate prediction for
reliabe and safe operation reference. To obtain the predictions, in this thesis,
multivariate analysis was conducted using nonlinear regression techniques. Loss
of thickness was taken as the dependent variable and the concentration of ions or
compounds cause corrosion was taken as independent variables. The model used
for analysis is Δy = κtv where Δy is the loss of thickness, "t? time exposure, κ and
v are the corrosion proportionanilty and exponent parameters respectively. Case
study was conducted on geothermal plant and the data was obtained from its
operation and maintenance records. Results of analysis show that the pipeline
have a positive impact in thickness loss caused by the chloride and pH. Chloride
and pH are parameters that contribute linearly dan exponentially.] |
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Universitas Indonesia |
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Perpustakaan Universitas Indonesia |
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contoh Repository Tesis (Open) Universitas Indonesia |
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KOTA DEPOK |
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JAWA BARAT |
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