Pressure Loss in Dredging Mud Pneumatic Transportation
نویسندگان
چکیده
منابع مشابه
Decreasing of water loss and mud cake thickness by CMC nanoparticles in mud drilling
CMC polymer is used as an additive to decrease water loss and mud-cake-thickness in mud drilling. In this study, the effect of CMC and CMC nanoparticles on water loss and mud-cake-thickness in mud drilling is investigated. CMC nanoparticles are made by using of ball milling and their size is measured by Particle size analyzer. CMC and CMC nanoparticles which were prepared by Hamilton batch mixe...
متن کاملDecreasing of water loss and mud cake thickness by CMC nanoparticles in mud drilling
CMC polymer is used as an additive to decrease water loss and mud-cake-thickness in mud drilling. In this study, the effect of CMC and CMC nanoparticles on water loss and mud-cake-thickness in mud drilling is investigated. CMC nanoparticles are made by using of ball milling and their size is measured by Particle size analyzer. CMC and CMC nanoparticles which were prepared by Hamilton batch mixe...
متن کاملdecreasing of water loss and mud cake thickness by cmc nanoparticles in mud drilling
cmc polymer is used as an additive to decrease water loss and mud-cake-thickness in mud drilling. in this study, the effect of cmc and cmc nanoparticles on water loss and mud-cake-thickness in mud drilling is investigated. cmc nanoparticles are made by using of ball milling and their size is measured by particle size analyzer. cmc and cmc nanoparticles which were prepared by hamilton batch mixe...
متن کاملData Dredging
Suppose there is a given data set and there are a huge number of hypotheses [1] about this data set [2]. If the data is totally random, then say all the hypotheses are actually false. However, owing to the sheer number of hypotheses on a limited data set, it is possible to see some very highly correlated [3] data that are statistically significant [4]. In such cases, data dredging is said to ha...
متن کاملData Dredging
Suppose there is a given data set and there are a huge number of hypotheses [1] about this data set [2]. If the data is totally random, then say all the hypotheses are actually false. However, owing to the sheer number of hypotheses on a limited data set, it is possible to see some very highly correlated [3] data that are statistically significant [4]. In such cases, data dredging is said to ha...
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ژورنال
عنوان ژورنال: JAPANESE JOURNAL OF MULTIPHASE FLOW
سال: 1993
ISSN: 1881-5790,0914-2843
DOI: 10.3811/jjmf.7.33