Prediction of Porosity and Permeability Alteration Based on Machine Learning Algorithms

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey

In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...

متن کامل

Thermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning

Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...

متن کامل

Why Asteroidal Alteration Was Isochemi- Cal: High Porosity ≠ High Permeability

CAL: HIGH POROSITY ≠ HIGH PERMEABILITY P. A. Bland, M. D. Jackson, R. F. Coker, B. A. Cohen, G. K. Benedix. Impacts & Astromaterials Research Centre (IARC), Dept. Earth Sci. & Eng., Imperial College London, SW7 2AZ, UK. E-mail: [email protected]. IARC, Dept. Mineralogy, Natural History Museum, London SW7 5BD, UK. Los Alamos National Lab., Los Alamos, NM 87545, USA. Inst. Meteoritics, Universit...

متن کامل

Thermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning

Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...

متن کامل

ذخیره 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: Transport in Porous Media

سال: 2019

ISSN: 0169-3913,1573-1634

DOI: 10.1007/s11242-019-01265-3