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International Journal of Engineering، جلد ۲۹، شماره ۱، صفحات ۱۲۷-۱۳۱
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Optimization of Cement Spacer Rheology Model Using Genetic Algorithm (RESEARCH NOTE) |
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| چکیده انگلیسی مقاله |
The primary cement job is a critical step in successful well completion. To achieve effective cementing job, complete mud removal from the annular is recommended. Spacer and flushers are used widely to achieve this goal. This study is about weighted cement spacer systems containing a surfactant package, weighting agent and rheological modifiers. Weighted spacer systems are utilized when a high formation fluid pressure is expected inside the wellbore. A testing program is conducted in laboratory to determine the spacer fluid rheological properties in different temperatures. The measured rheological properties are estimated using the known rheological models. Each model is firstly optimized using Genetic Algorithm as an optimization tool and then the rheological properties are modeled. The performance of the genetic algorithm is then tested by comparing the real laboratory data and modeled data. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
Seyyed Shahab Tabatabaee Moradi |
Well drilling, Saint-Petersburg Mining University
Nikolay Nikolaev |
Well Drilling, Saint-Petersburg Mining University
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| نشانی اینترنتی |
http://www.ije.ir/article_72658_3ad1f9e74543d571a21b340ba838e278.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2062391.pdf |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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