Coupling model of wellbore heat transfer and cuttings bed height during horizontal well drilling

D Xiao, L Chen, X Xu, G Tang, Y Hu, B Guo, M Liu… - Physics of …, 2024 - pubs.aip.org
Horizontal well drilling is a powerful means of exploring and developing unconventional oil
and gas reservoirs. However, cuttings are easily deposited at the bottom of the annulus of …

Automated lost circulation severity classification and mitigation system using explainable Bayesian optimized ensemble learning algorithms

H Elmousalami, I Sakr - Journal of Petroleum Exploration and Production …, 2024 - Springer
Lost circulation and mud losses cause 10 to 20% of the cost of drilling operations under
extreme pressure and temperature conditions. Therefore, this research introduces an …

Physiology-based parameterization of human blood steady shear rheology via machine learning: a hemostatistics contribution

S Farrington, S Jariwala, M Armstrong, E Nigro… - Rheologica Acta, 2023 - Springer
Hemorheology is the study of blood flow and the mechanical stresses and kinematics
involved. The Casson constitutive equation is a popular and simple model used to describe …

A new approach to prediction riboflavin absorbance using imprinted polymer and ensemble machine learning algorithms

B Yarahmadi, SM Hashemianzadeh, SMRM Hosseini - Heliyon, 2023 - cell.com
The molecularly imprinted polymer (MIP) is useful for measuring the amount of riboflavin
(vitamin B2), in various samples using UV/Vis instruments. The practical optimization of the …

Application of machine learning and well log attributes in geothermal drilling

R Kiran, P Dansena, S Salehi, VK Rajak - Geothermics, 2022 - Elsevier
As the world is moving towards carbon-neutral energy resources, geothermal has potential
to become one of the most compatible avenues. The geothermal exploration requires drilling …

Effective prediction of lost circulation from multiple drilling variables: a class imbalance problem for machine and deep learning algorithms

DA Wood, S Mardanirad, H Zakeri - Journal of Petroleum Exploration and …, 2022 - Springer
Multiple machine learning (ML) and deep learning (DL) models are evaluated and their
prediction performance compared in classifying five wellbore fluid-loss classes from a 20 …

Gelation Behavior of Polyacrylamide-Polyethyleneimine: Effects of Diethylenetriamine and Glycerol Addition

NN Marques, SC Morais, PCF Câmara… - Journal of the Brazilian …, 2023 - SciELO Brasil
Polymer gel systems find applications in diverse areas, ranging from contact lenses to
agriculture and oil production. In general, polyacrylamide (PAM) gels are produced by …

Settling of Drilling Cuttings in Polymeric Solutions: A Parametric Investigation

AAA Mohammed, M Alhajabdalla, H Mahmoud… - ACS …, 2023 - ACS Publications
Drilling fluids, commonly referred to as drilling mud, are pumped into the wellbore to
expedite the drilling process by moving drilling cuttings to the surface, suspending cuttings …

Development of cost-effective drilling fluid from banana peel pectin and fly ash for loss circulation control

PN Goel, A Anand, SR Anand, K Jha… - Materials Today …, 2022 - Elsevier
The global demand for energy has increased the petroleum operations mutlifolds and the
challenges associated with it. The loss circulation is often problematic and cost intensive …

DEVELOPMENT OF FIBROUS DRILLING FLUIDS FOR HORIZONTAL WELL CLEANOUT: PARAMETIC INVESTIGATION

AAA MOHAMMED - 2024 - qspace.qu.edu.qa
Drilling fluids enhance drilling efficiency by facilitating cutting transportation, maintaining
suspension, regulating pressure, and stabilizing rock formations. Fiber usage in drilling …