Výsledky vyhledávání - "Daud C. Kalibwami"

Application of Group Method of Data Handling via a Modified Levenberg-Marquardt Algorithm in the Prediction of Compressive Strength of Oilwell Cement with Reinforced Fly Ash Based on Experimental Data

Autor: Edwin E. Nyakilla, Gu Jun, Grant Charles, Emanuel X. Ricky, Wakeel Hussain, Sayed Muhammed Iqbal, Daud C. Kalibwami, Ahmed G. Alareqi, Mbarouk Shaame, Mbega Ramadhani Ngata

Publikováno v: SPE Drilling & Completion. :1-17

Summary The experimental design of well cement with durable compressive strength (CS) is challenging and time-consuming. The current research predicts CS using the enhanced group method of data handling via a modified Levenberg-Marquardt algorithm (G

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a9aa14c3f5cacd3eeeff5056e561808
https://doi.org/10.2118/214679-pa

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Application of Novel Machine Learning in the Prediction of Compressive Strength of Oil Well Cement with Reinforced Nanomaterial

Autor: Edwin E. Nyakilla, Jun Gu, Grant Charles, Ricky R, Wakeel Hussain, Sayed Muhammad Iqbal, Daud C. Kalibwami, Ahmed G. Alareqi, Mbarouk Shaame, Mbega Ramadhani Ngata

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce7b39801341dab07391a84afd519200
https://doi.org/10.2139/ssrn.4296915

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