Annular Pressure Losses Prediction Using Power-Law Model with Polymer Water-Base Mud
نویسندگان
چکیده
منابع مشابه
Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks
In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. This method, based on the application of regression and artificial neural networks (AAN), has been used to predict red mud bound-soda losses in Iran Alumina C...
متن کاملSimilarity Measures for Link Prediction Using Power Law Degree Distribution
Link Prediction deals with predicting important non-existent edges in a social network that are likely to occur in the near future. Typically a link between two nodes is predicted if the two nodes have high similarity. Well-known local similarity functions make use of information from all the local neighbors. These functions use the same form irrespective of the degree of the common neighbors. ...
متن کاملModification of Montmorillonite and Prediction of Polymer/Clay Affinity Using Surface Properties and Lattice Model
"> Sodium montmorillonite (Na-MMT) was organically modified using 11- aminoundecanoic acid (AUA) and methacryloxyethyltrimethylammonium chloride <span style="font-size: 9pt; color: #000000; font-style: n...
متن کاملPrediction of Pressure Losses in Pipe Flow of Aqueous Foams
This paper presents a model for predicting pressure losses in foams of various expansions and pressures, in pipes of any given diameter, once the foam behavior has been characterized at a single expansion and pressure. The model incorporates a modified form of the power-law viscosity model of foam, which is obtained through the method of volume equalization. Since apparent wall slip contributes...
متن کاملThe Dynamic Power Law Model
I propose a new measure of common, time-varying tail risk for large cross sections of stock returns. Stock return tails are described by a power law in which the power law exponent is allowed to transition smoothly through time as a function of recent data. It is motivated by asset pricing theory and is estimable via quasi-maximum likelihood. Estimates indicate substantial time variation in sto...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Petroleum and Mining Engineering
سال: 2018
ISSN: 1110-6506
DOI: 10.21608/jpme.2018.38799