01978ntm a2200241 a 4500 vtls000083023 KUKTEM 20251117113235.0 141104t2013 my a f m 000 0 eng d THE0005797(Local) 201905131424 aida 201411041607 Fida UMP TA418.74 .A99 2013 r Bc. Mohamad Azwan Mohd Ghazali Modelling the role of acidic species on CO2 corrosion prediction / Mohamad Azwan Mohd Ghazali Kuantan, Pahang : UMP, 2013 xiv, 47 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013 Bibliography: p. 45-47 The presence of acetic acid (HAc) in formation water of oil and gas reservoirs has long been suspected to contribute to the CO2 corrosion rate. The prediction model has been developed based on mechanistic theories which is involved the fundamental of electrochemical reaction for partial cathodic and anodic process on the metal surface. By using this prediction model, the corrosion behaviour of carbon steel in the presence of HAc in combination with pH and temperature at simultaneously has been investigated. The corrosion prediction model was verified by comparing calculated corrosion rates with the corrosion data obtained from various literature sources and corrosion prediction software’s and it’s showed a good relationship in correlation and regression relationship and provided high precision in standard error estimation.From the findings, electrochemical measurements have shown that the presence of acetic acid affects predominantly the cathodic reaction and increased the rate of corrosion, which is agreed well with the general understanding of the CO2. Corrosion and anti-corrosives 0 0 0 1 20000 20000 2019-09-04 0 TA418.74 .A99 2013 r Bc. 0000086372 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 8127 | TA418.74 .A99 2013 r Bc. 0000086373 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 5272 5278 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992