PREDIKSI PERTUMBUHAN DEPOSISI SULFIDA DI SUMUR GEOTERMAL DENGAN MODEL MATEMATIS DAN MEMPERTIMBANGKAN PERUBAHAN LUAS PENAMPANG
Scaling or solid deposition is able to obstruct geothermal fluid flow from bottomhole to surface through the wellbore. Sulfides type of deposition is one of a scale type which commonly found in the field. One of a countermeasure way is executing predictive solution. Scaling tendencies including the...
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Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/64180 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Scaling or solid deposition is able to obstruct geothermal fluid flow from bottomhole to surface through the wellbore. Sulfides type of deposition is one of a scale type which commonly found in the field. One of a countermeasure way is executing predictive solution. Scaling tendencies including the depth which scaling occur and its growth are necessary, so that workover operation to clean the well from scale can be scheduled and conducted before scaling occurs and completely clogs down the production well. The previous study of mathematical model has been already developed to predict growth of sulfide deposition by integrating concepts of the two-phase pressure drop correlation in vertical well and the solubility-temperature correlation. The model assumes the cross-sectional area of fluid flow is constant. In fact, sulfide deposition cause the cross-sectional area decreased. This study perform development of calculations-algorithm to predict deposition growth by considering cross-sectional area alteration which caused by sulfide deposition, specifically galena and sphalerite. To illustrate the differences, outputs from both of the method are described. The results showed that sulfide growth by considering cross-sectional area alteration has significant differences of sulfide thickness comparing to result of mathematical model which assumes contant cross-sectional area. The magnitude of sulfide thickness prediction disparity will bigger as deposition is getting thicker. |
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