[HTML][HTML] Advancing Reservoir Evaluation: Machine Learning Approaches for Predicting Porosity Curves

N Ali, X Fu, J Chen, J Hussain, W Hussain, N Rahman… - Energies, 2024 - mdpi.com
Porosity assessment is a vital component for reservoir evaluation in the oil and gas sector,
and with technological advancement, reliance on conventional methods has decreased. In …

Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan

N Ali, J Chen, X Fu, R Ali, MA Hussain, H Daud… - Remote Sensing, 2024 - mdpi.com
Natural disasters, notably landslides, pose significant threats to communities and
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …

A comprehensive study on optimizing reservoir potential: Advanced geophysical log analysis of zamzama gas field, southern indus basin, Pakistan

S Hussain, A Atta, C Guo, W Hussain, N Ali… - … of the Earth, Parts A/B/C, 2024 - Elsevier
This study investigates the hydrocarbon and gas potential of the Pab Formation's Late
Cretaceous reservoir in the Zamzama Gas Field (ZGF) situated in Pakistan's Southern Indus …

Weathering effects on granitic rocks in North Pakistan: petrographic insights, strength classifications, and construction suitability

AR Asif, M Sajid, W Ahmed, A Nawaz - Environmental Earth Sciences, 2024 - Springer
In this study, rock samples from various tectonic domains of North Pakistan are assessed in
terms of their physical, mechanical, and petrographic characteristics. A comprehensive …

Physico-Mechanical and Petrographic Appraisal of Carbonate Rocks as Construction Aggregate: A Case Study from Lesser Himalaya, Pakistan

F Ali, Y Sirfraz, A Shahzad, KS Ahmed… - Transportation …, 2024 - journals.sagepub.com
Owing to the exceptional role of crushed rock aggregates in construction, their prospective
reserves fulfilling qualitative and economic parameters should be identified to meet their …