[HTML][HTML] Artificial neural network model for predicting drill cuttings settling velocity

OE Agwu, JU Akpabio, A Dosunmu - Petroleum, 2020 - Elsevier
The traditional method of using the coefficient of drag–Reynolds number relationship to
predict cuttings settling velocity involves an implicit procedure that requires repeated, time …

Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps

OE Agwu, A Alkouh, S Alatefi, RA Azim… - Journal of Petroleum …, 2024 - Springer
In this study, a neural network model is developed for the prediction of oil flow rates in wells
lifted by electrical submersible pumps (ESPs). Three attributes of the model in this work …

Modeling the downhole density of drilling muds using multigene genetic programming

OE Agwu, JU Akpabio, A Dosunmu - Upstream Oil and Gas Technology, 2021 - Elsevier
The main objective of this paper is to use experimental measurements of downhole
pressure, temperature and initial mud density to predict downhole density using multigene …

Mathematical modelling of drilling mud plastic viscosity at downhole conditions using multivariate adaptive regression splines

OE Agwu, KA Elraies, A Alkouh, S Alatefi - Geoenergy Science and …, 2024 - Elsevier
Viscosity is an essential mud property which enables it to transport cuttings out of a well.
Determining the real time value of mud viscosity at downhole conditions is complex and till …

Application of seismic refraction and MASW geophysical techniques to characterize the subsoil structure under damaged buildings in Qeft city, Upper Egypt

MA Abbas, AM Abdelgowad - Modeling Earth Systems and Environment, 2024 - Springer
The shallow seismic methods, including seismic refraction and 1D MASW, were used to
investigate the shallow soil in the vicinity of five damaged building blocks in the village of El …

Geological and Climatic Factors Affecting the Correlation between Electrical Resistivity and SPT N-Value in Sandy Soils of Phuket, Thailand

A Puttiwongrak, S Keo, S Vann, T Arpornthip… - Geosciences, 2023 - mdpi.com
Understanding the technical properties of the subsurface soil is essential for carrying out any
building project correctly. In sandy soils in Phuket, Thailand, a correlation between electrical …

Analyzing the Levelized Cost of Hydrogen: Leveraging Machine Learning for Evaluating Production Pathways

CG Ezechi, LK Sekar, ER Okoroafor - Abu Dhabi International …, 2024 - onepetro.org
This study examines the economic viability of producing hydrogen by various routes, paying
attention to the hydrogen colors that are less prominent in literature. The analysis was done …

BEARING CAPACITY OF FULL-FRICTION MICROPILES BASED ON SIMPLE FIELD LOAD TEST RESULTS IN BANJARMASIN VERY SOFT SOIL

Y Yudiawati - GEOMATE Journal, 2024 - geomatejournal.com
Piles for foundations are used when hard soil layers are located far below the ground
surface. Full-friction piles are defined as piles that depend solely on the friction between the …

Analisis Penyebab Amblasan Ruas Jalan (Studi Kasus: Ruas Jalan Gunung Ulin–Gunung Sari)

Y Yudiawati - Jurnal Serambi Engineering, 2024 - jse.serambimekkah.id
The different behaviour of soils from one region to another requires in-depth identification of
the reaction of soils to certain treatments. A comprehensive study is needed to obtain …

Effective Machine Learning Models for Predicting SPT N of Reclaimed Jolshiri Area, Dhaka

M Ahmed, NM Shuman, NA Chowdhury… - … on Advances in Civil …, 2023 - Springer
Accurate prediction of soil properties, particularly the Standard Penetration Test (SPT) N
value, is crucial for urban multistory constructions. However, predicting SPT N values can be …